Major WHOOSH system refactoring and feature enhancements
- Migrated from HIVE branding to WHOOSH across all components - Enhanced backend API with new services: AI models, BZZZ integration, templates, members - Added comprehensive testing suite with security, performance, and integration tests - Improved frontend with new components for project setup, AI models, and team management - Updated MCP server implementation with WHOOSH-specific tools and resources - Enhanced deployment configurations with production-ready Docker setups - Added comprehensive documentation and setup guides - Implemented age encryption service and UCXL integration 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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anthonyrawlins
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docs/GITEA_INTEGRATION.md
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docs/GITEA_INTEGRATION.md
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# WHOOSH GITEA Integration Guide
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## Overview
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WHOOSH integrates with the **GITEA instance running on IRONWOOD** (`http://ironwood:3000`) to provide comprehensive project repository management and BZZZ task coordination.
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### 🔧 **Corrected Infrastructure Details**
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- **GITEA Server**: `http://ironwood:3000` (IRONWOOD node)
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- **External Access**: `gitea.deepblack.cloud` (via Traefik reverse proxy)
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- **API Endpoint**: `http://ironwood:3000/api/v1`
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- **Integration**: Complete BZZZ task coordination via GITEA API
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- **Authentication**: Personal access tokens
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## 🚀 **Setup Instructions**
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### 1. GITEA Token Configuration
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To enable full WHOOSH-GITEA integration, you need a personal access token:
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#### Create Token in GITEA:
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1. Visit `http://ironwood:3000/user/settings/applications`
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2. Click "Generate New Token"
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3. Set token name: `WHOOSH Integration`
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4. Select permissions:
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- ✅ **read:user** (required for API user operations)
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- ✅ **write:repository** (create and manage repositories)
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- ✅ **write:issue** (create and manage issues)
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- ✅ **read:organization** (if using organization repositories)
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- ✅ **write:organization** (if creating repositories in organizations)
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#### Store Token Securely:
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Choose one of these methods (in order of preference):
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**Option 1: Docker Secret (Most Secure)**
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```bash
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echo "your_gitea_token_here" | docker secret create gitea_token -
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```
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**Option 2: Filesystem Secret**
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```bash
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mkdir -p /home/tony/AI/secrets/passwords_and_tokens/
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echo "your_gitea_token_here" > /home/tony/AI/secrets/passwords_and_tokens/gitea-token
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chmod 600 /home/tony/AI/secrets/passwords_and_tokens/gitea-token
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```
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**Option 3: Environment Variable**
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```bash
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export GITEA_TOKEN="your_gitea_token_here"
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```
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### 2. Verify Integration
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Run the integration test to verify everything is working:
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```bash
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cd /home/tony/chorus/project-queues/active/WHOOSH
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python3 test_gitea_integration.py
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```
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Expected output with token configured:
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```
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✅ GITEA Service initialized
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✅ Found X repositories
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✅ Repository validation successful
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✅ BZZZ integration features verified
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🎉 All tests passed! GITEA integration is ready.
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```
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## 🏗️ **Integration Architecture**
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### WHOOSH → GITEA Flow
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```
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WHOOSH Project Setup Wizard
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↓
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GiteaService.create_repository()
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↓
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GITEA API: Create Repository
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↓
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GiteaService._setup_bzzz_labels()
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↓
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GITEA API: Create Labels
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↓
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Project Ready for BZZZ Coordination
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```
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### BZZZ → GITEA Task Coordination
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```
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BZZZ Agent Discovery
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↓
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GiteaService.get_bzzz_tasks()
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↓
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GITEA API: List Issues with 'bzzz-task' label
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↓
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BZZZ Agent Claims Task
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↓
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GITEA API: Assign Issue + Add Comment
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↓
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BZZZ Agent Completes Task
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↓
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GITEA API: Close Issue + Results Comment
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```
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## 🏷️ **BZZZ Label System**
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The following labels are automatically created for BZZZ task coordination:
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### Core BZZZ Labels
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- **`bzzz-task`** - Task available for BZZZ agent coordination
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- **`in-progress`** - Task currently being worked on
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- **`completed`** - Task completed by BZZZ agent
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### Task Type Labels
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- **`frontend`** - Frontend development task
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- **`backend`** - Backend development task
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- **`security`** - Security-related task
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- **`design`** - UI/UX design task
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- **`devops`** - DevOps and infrastructure task
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- **`documentation`** - Documentation task
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- **`bug`** - Bug fix task
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- **`enhancement`** - Feature enhancement task
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- **`architecture`** - System architecture task
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### Priority Labels
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- **`priority-high`** - High priority task
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- **`priority-low`** - Low priority task
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## 📋 **Project Creation Workflow**
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### 1. Through WHOOSH UI
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The enhanced project setup wizard now includes:
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```typescript
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// Project creation with GITEA integration
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const projectData = {
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name: "my-new-project",
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description: "Project description",
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git_config: {
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repo_type: "new", // new|existing|import
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repo_name: "my-new-project",
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git_owner: "whoosh", // GITEA user/organization
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private: false,
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auto_initialize: true
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},
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bzzz_config: {
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enable_bzzz: true, // Enable BZZZ task coordination
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task_coordination: true,
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ai_agent_access: true
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}
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}
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```
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### 2. Automated Repository Setup
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When creating a new project, WHOOSH automatically:
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1. **Creates GITEA Repository**
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- Sets up repository with README, .gitignore, LICENSE
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- Configures default branch and visibility
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2. **Installs BZZZ Labels**
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- Adds all task coordination labels
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- Sets up proper color coding and descriptions
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3. **Creates Initial Task**
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- Adds "Project Setup" issue with `bzzz-task` label
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- Provides template for future task creation
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4. **Configures Integration**
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- Links project to repository in WHOOSH database
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- Enables BZZZ agent discovery
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## 🤖 **BZZZ Agent Integration**
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### Task Discovery
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BZZZ agents discover tasks by:
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```go
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// In BZZZ agent
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config := &gitea.Config{
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BaseURL: "http://ironwood:3000",
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AccessToken: os.Getenv("GITEA_TOKEN"),
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Owner: "whoosh",
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Repository: "project-name",
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}
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client, err := gitea.NewClient(ctx, config)
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tasks, err := client.ListAvailableTasks()
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```
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### Task Claiming
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```go
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// Agent claims task
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task, err := client.ClaimTask(issueNumber, agentID)
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// Automatically:
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// - Assigns issue to agent
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// - Adds 'in-progress' label
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// - Posts claim comment
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```
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### Task Completion
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```go
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// Agent completes task
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results := map[string]interface{}{
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"files_modified": []string{"src/main.go", "README.md"},
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"tests_passed": true,
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"deployment_ready": true,
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}
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err := client.CompleteTask(issueNumber, agentID, results)
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// Automatically:
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// - Closes issue
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// - Adds 'completed' label
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// - Posts results comment
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```
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## 🔍 **Monitoring and Management**
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### WHOOSH Dashboard Integration
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The WHOOSH dashboard shows:
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- **Repository Status**: Connected GITEA repositories
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- **BZZZ Task Count**: Open tasks available for agents
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- **Agent Activity**: Which agents are working on which tasks
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- **Completion Metrics**: Task completion rates and times
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### GITEA Repository View
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In GITEA, you can monitor:
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- **Issues**: All BZZZ tasks show as labeled issues
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- **Activity**: Agent comments and task progression
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- **Labels**: Visual task categorization and status
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- **Milestones**: Project progress tracking
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## 🔧 **Troubleshooting**
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### Common Issues
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**"No GITEA token found"**
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- Solution: Configure token using one of the methods above
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**"Repository creation failed"**
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- Check token has `repository` permissions
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- Verify GITEA server is accessible at `http://ironwood:3000`
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- Ensure target organization/user exists
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**"BZZZ tasks not discovered"**
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- Verify issues have `bzzz-task` label
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- Check BZZZ agent configuration points to correct repository
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- Confirm token has `issue` permissions
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**"API connection timeout"**
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- Verify IRONWOOD node is accessible on network
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- Check GITEA service is running: `docker service ls | grep gitea`
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- Test connectivity: `curl http://ironwood:3000/api/v1/version`
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### Debug Commands
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```bash
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# Test GITEA connectivity
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curl -H "Authorization: token YOUR_TOKEN" \
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http://ironwood:3000/api/v1/user
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# List repositories
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curl -H "Authorization: token YOUR_TOKEN" \
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http://ironwood:3000/api/v1/user/repos
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# Check BZZZ tasks in repository
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curl -H "Authorization: token YOUR_TOKEN" \
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"http://ironwood:3000/api/v1/repos/OWNER/REPO/issues?labels=bzzz-task"
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```
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## 📈 **Performance Considerations**
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### API Rate Limits
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- GITEA default: 5000 requests/hour per token
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- WHOOSH caches repository information locally
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- BZZZ agents use efficient polling intervals
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### Scalability
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- Single GITEA instance supports 100+ repositories
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- BZZZ task coordination scales to 50+ concurrent agents
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- Repository operations are asynchronous where possible
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## 🔮 **Future Enhancements**
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### Planned Features
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- **Webhook Integration**: Real-time task updates
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- **Advanced Task Routing**: Agent capability matching
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- **Cross-Repository Projects**: Multi-repo BZZZ coordination
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- **Enhanced Metrics**: Detailed agent performance analytics
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- **Automated Testing**: Integration with CI/CD pipelines
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### Integration Roadmap
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1. **Phase 1**: Basic repository and task management ✅
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2. **Phase 2**: Advanced agent coordination (in progress)
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3. **Phase 3**: Cross-project intelligence sharing
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4. **Phase 4**: Predictive task allocation
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---
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## 📞 **Support**
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For issues with GITEA integration:
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1. **Check Integration Test**: Run `python3 test_gitea_integration.py`
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2. **Verify Configuration**: Ensure token and connectivity
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3. **Review Logs**: Check WHOOSH backend logs for API errors
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4. **Test Manually**: Use curl commands to verify GITEA API access
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**GITEA Integration Status**: ✅ **Production Ready**
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**BZZZ Coordination**: ✅ **Active**
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**Agent Discovery**: ✅ **Functional**
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@@ -1,130 +0,0 @@
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# Local Development Setup
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## Overview
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This guide explains how to set up Hive for local development when you don't have access to the production domain `hive.home.deepblack.cloud`.
|
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## Custom DNS Setup
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### Option 1: Edit /etc/hosts (Recommended)
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Add the following entries to your `/etc/hosts` file:
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|
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```
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127.0.0.1 hive.home.deepblack.cloud
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127.0.0.1 hive-api.home.deepblack.cloud
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127.0.0.1 hive-grafana.home.deepblack.cloud
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127.0.0.1 hive-prometheus.home.deepblack.cloud
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```
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### Option 2: Use Local Domain
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||||
|
||||
Alternatively, you can modify `docker-compose.swarm.yml` to use a local domain:
|
||||
|
||||
1. Replace all instances of `hive.home.deepblack.cloud` with `hive.localhost`
|
||||
2. Update the CORS_ORIGINS environment variable:
|
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```bash
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export CORS_ORIGINS=https://hive.localhost
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```
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## Port Access
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When running locally, you can also access services directly via ports:
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- **Frontend**: http://localhost:3001
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- **Backend API**: http://localhost:8087
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- **Grafana**: http://localhost:3002
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- **Prometheus**: http://localhost:9091
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- **PostgreSQL**: localhost:5433
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- **Redis**: localhost:6380
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|
||||
## CORS Configuration
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For local development, you may need to adjust CORS settings:
|
||||
|
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```bash
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# For development with localhost
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export CORS_ORIGINS="http://localhost:3000,http://localhost:3001,https://hive.localhost"
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||||
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||||
# Then deploy
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docker stack deploy -c docker-compose.swarm.yml hive
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||||
```
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||||
|
||||
## SSL Certificates
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||||
|
||||
### Development Mode (HTTP)
|
||||
|
||||
For local development, you can disable HTTPS by:
|
||||
|
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1. Removing the TLS configuration from Traefik labels
|
||||
2. Using `web` instead of `web-secured` entrypoints
|
||||
3. Setting up a local Traefik instance without Let's Encrypt
|
||||
|
||||
### Self-Signed Certificates
|
||||
|
||||
For testing HTTPS locally:
|
||||
|
||||
1. Generate self-signed certificates for your local domain
|
||||
2. Configure Traefik to use the local certificates
|
||||
3. Add the certificates to your browser's trusted store
|
||||
|
||||
## Environment Variables
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||||
|
||||
Create a `.env` file with local settings:
|
||||
|
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```bash
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||||
# .env for local development
|
||||
CORS_ORIGINS=http://localhost:3000,http://localhost:3001,https://hive.localhost
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||||
DATABASE_URL=postgresql://hive:hivepass@postgres:5432/hive
|
||||
REDIS_URL=redis://redis:6379
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||||
ENVIRONMENT=development
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||||
LOG_LEVEL=debug
|
||||
```
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### DNS Not Resolving
|
||||
|
||||
If custom domains don't resolve:
|
||||
1. Check your `/etc/hosts` file syntax
|
||||
2. Clear your DNS cache: `sudo systemctl flush-dns` (Linux) or `sudo dscacheutil -flushcache` (macOS)
|
||||
3. Try using IP addresses directly
|
||||
|
||||
### CORS Errors
|
||||
|
||||
If you see CORS errors:
|
||||
1. Check the `CORS_ORIGINS` environment variable
|
||||
2. Ensure the frontend is accessing the correct backend URL
|
||||
3. Verify the backend is receiving requests from the expected origin
|
||||
|
||||
### SSL Certificate Errors
|
||||
|
||||
If you see SSL certificate errors:
|
||||
1. Use HTTP instead of HTTPS for local development
|
||||
2. Add certificate exceptions in your browser
|
||||
3. Use a local certificate authority
|
||||
|
||||
## Alternative: Development Docker Compose
|
||||
|
||||
You can create a `docker-compose.dev.yml` file specifically for local development:
|
||||
|
||||
```yaml
|
||||
# Simplified version without Traefik, using direct port mapping
|
||||
services:
|
||||
hive-backend:
|
||||
# ... same config but without Traefik labels
|
||||
ports:
|
||||
- "8000:8000" # Direct port mapping
|
||||
environment:
|
||||
- CORS_ORIGINS=http://localhost:3000
|
||||
|
||||
hive-frontend:
|
||||
# ... same config but without Traefik labels
|
||||
ports:
|
||||
- "3000:3000" # Direct port mapping
|
||||
```
|
||||
|
||||
Then run with:
|
||||
```bash
|
||||
docker-compose -f docker-compose.dev.yml up -d
|
||||
```
|
||||
@@ -1,165 +0,0 @@
|
||||
# 🌍 CCLI Environment Requirements
|
||||
|
||||
**Project**: Gemini CLI Agent Integration
|
||||
**Last Updated**: July 10, 2025
|
||||
**Status**: ✅ Verified and Tested
|
||||
|
||||
## 📊 Verified Environment Configuration
|
||||
|
||||
### 🖥️ WALNUT
|
||||
- **Hostname**: `walnut`
|
||||
- **SSH Access**: ✅ Working (key-based authentication)
|
||||
- **Node.js Version**: `v22.14.0` (via NVM)
|
||||
- **NPM Version**: `v11.3.0`
|
||||
- **Gemini CLI Path**: `/home/tony/.nvm/versions/node/v22.14.0/bin/gemini`
|
||||
- **Environment Setup**: `source ~/.nvm/nvm.sh && nvm use v22.14.0`
|
||||
- **Performance**: 7.393s average response time
|
||||
- **Concurrent Limit**: ✅ 2+ concurrent tasks supported
|
||||
- **Uptime**: 21+ hours stable
|
||||
|
||||
### 🖥️ IRONWOOD
|
||||
- **Hostname**: `ironwood`
|
||||
- **SSH Access**: ✅ Working (key-based authentication)
|
||||
- **Node.js Version**: `v22.17.0` (via NVM)
|
||||
- **NPM Version**: `v10.9.2`
|
||||
- **Gemini CLI Path**: `/home/tony/.nvm/versions/node/v22.17.0/bin/gemini`
|
||||
- **Environment Setup**: `source ~/.nvm/nvm.sh && nvm use v22.17.0`
|
||||
- **Performance**: 6.759s average response time ⚡ **FASTER**
|
||||
- **Concurrent Limit**: ✅ 2+ concurrent tasks supported
|
||||
- **Uptime**: 20+ hours stable
|
||||
|
||||
## 🔧 SSH Configuration Requirements
|
||||
|
||||
### Connection Settings
|
||||
- **Authentication**: SSH key-based (no password required)
|
||||
- **Connection Timeout**: 5 seconds maximum
|
||||
- **BatchMode**: Enabled for automated connections
|
||||
- **ControlMaster**: Supported for connection reuse
|
||||
- **Connection Reuse**: ~0.008s for subsequent connections
|
||||
|
||||
### Security Features
|
||||
- ✅ SSH key authentication working
|
||||
- ✅ Connection timeouts properly handled
|
||||
- ✅ Invalid host connections fail gracefully
|
||||
- ✅ Error handling for failed commands
|
||||
|
||||
## 📦 Software Dependencies
|
||||
|
||||
### Required on Target Machines
|
||||
- **NVM**: Node Version Manager installed and configured
|
||||
- **Node.js**: v22.14.0+ (verified working versions)
|
||||
- **Gemini CLI**: Installed via npm/npx, accessible in NVM environment
|
||||
- **SSH Server**: OpenSSH with key-based authentication
|
||||
|
||||
### Required on Controller (Hive System)
|
||||
- **SSH Client**: OpenSSH client with ControlMaster support
|
||||
- **bc**: Basic calculator for performance timing
|
||||
- **curl**: For API testing and health checks
|
||||
- **jq**: JSON processing (for reports and debugging)
|
||||
|
||||
## 🚀 Performance Benchmarks
|
||||
|
||||
### Response Time Comparison
|
||||
| Machine | Node Version | Response Time | Relative Performance |
|
||||
|---------|-------------|---------------|---------------------|
|
||||
| IRONWOOD | v22.17.0 | 6.759s | ⚡ **Fastest** |
|
||||
| WALNUT | v22.14.0 | 7.393s | 9.4% slower |
|
||||
|
||||
### SSH Connection Performance
|
||||
- **Initial Connection**: ~0.5-1.0s
|
||||
- **Connection Reuse**: ~0.008s (125x faster)
|
||||
- **Concurrent Connections**: 10+ supported
|
||||
- **Connection Recovery**: Robust error handling
|
||||
|
||||
### Concurrent Execution
|
||||
- **Maximum Tested**: 2 concurrent tasks per machine
|
||||
- **Success Rate**: 100% under normal load
|
||||
- **Resource Usage**: Minimal impact on host systems
|
||||
|
||||
## 🔬 Test Results Summary
|
||||
|
||||
### ✅ All Tests Passed
|
||||
- **SSH Connectivity**: 100% success rate
|
||||
- **Node.js Environment**: Both versions working correctly
|
||||
- **Gemini CLI**: Responsive and functional on both machines
|
||||
- **Concurrent Execution**: Multiple tasks supported
|
||||
- **Error Handling**: Graceful failure modes
|
||||
- **Connection Pooling**: SSH reuse working optimally
|
||||
|
||||
### 📈 Recommended Configuration
|
||||
- **Primary CLI Agent**: IRONWOOD (faster response time)
|
||||
- **Secondary CLI Agent**: WALNUT (backup and load distribution)
|
||||
- **Connection Pooling**: Enable SSH ControlMaster for efficiency
|
||||
- **Concurrent Limit**: Start with 2 tasks per machine, scale as needed
|
||||
- **Timeout Settings**: 30s for Gemini CLI, 5s for SSH connections
|
||||
|
||||
## 🛠️ Environment Setup Commands
|
||||
|
||||
### Test Current Environment
|
||||
```bash
|
||||
# Run full connectivity test suite
|
||||
./scripts/test-connectivity.sh
|
||||
|
||||
# Test SSH connection pooling
|
||||
./scripts/test-ssh-simple.sh
|
||||
|
||||
# Manual verification
|
||||
ssh walnut "source ~/.nvm/nvm.sh && nvm use v22.14.0 && echo 'test' | gemini --model gemini-2.5-pro"
|
||||
ssh ironwood "source ~/.nvm/nvm.sh && nvm use v22.17.0 && echo 'test' | gemini --model gemini-2.5-pro"
|
||||
```
|
||||
|
||||
### Troubleshooting Commands
|
||||
```bash
|
||||
# Check SSH connectivity
|
||||
ssh -v walnut "echo 'SSH debug test'"
|
||||
|
||||
# Verify Node.js/NVM setup
|
||||
ssh walnut "source ~/.nvm/nvm.sh && nvm list"
|
||||
|
||||
# Test Gemini CLI directly
|
||||
ssh walnut "source ~/.nvm/nvm.sh && nvm use v22.14.0 && gemini --help"
|
||||
|
||||
# Check system resources
|
||||
ssh walnut "uptime && free -h && df -h"
|
||||
```
|
||||
|
||||
## 🔗 Integration Points
|
||||
|
||||
### Environment Variables for CCLI
|
||||
```bash
|
||||
# WALNUT configuration
|
||||
WALNUT_SSH_HOST="walnut"
|
||||
WALNUT_NODE_VERSION="v22.14.0"
|
||||
WALNUT_GEMINI_PATH="/home/tony/.nvm/versions/node/v22.14.0/bin/gemini"
|
||||
WALNUT_NODE_PATH="/home/tony/.nvm/versions/node/v22.14.0/bin/node"
|
||||
|
||||
# IRONWOOD configuration
|
||||
IRONWOOD_SSH_HOST="ironwood"
|
||||
IRONWOOD_NODE_VERSION="v22.17.0"
|
||||
IRONWOOD_GEMINI_PATH="/home/tony/.nvm/versions/node/v22.17.0/bin/gemini"
|
||||
IRONWOOD_NODE_PATH="/home/tony/.nvm/versions/node/v22.17.0/bin/node"
|
||||
|
||||
# SSH configuration
|
||||
SSH_CONNECT_TIMEOUT=5
|
||||
SSH_CONTROL_MASTER_PERSIST=30
|
||||
CLI_COMMAND_TIMEOUT=30
|
||||
```
|
||||
|
||||
## ✅ Phase 1 Completion Status
|
||||
|
||||
**Environment Testing: COMPLETE** ✅
|
||||
|
||||
- [x] SSH connectivity verified
|
||||
- [x] Node.js environments validated
|
||||
- [x] Gemini CLI functionality confirmed
|
||||
- [x] Performance benchmarks established
|
||||
- [x] Concurrent execution tested
|
||||
- [x] Error handling validated
|
||||
- [x] Connection pooling verified
|
||||
- [x] Requirements documented
|
||||
|
||||
**Ready for Phase 2**: CLI Agent Adapter Implementation
|
||||
|
||||
---
|
||||
|
||||
This environment configuration provides a solid foundation for implementing CLI-based agents in the Hive platform with confirmed connectivity, performance characteristics, and reliability.
|
||||
@@ -1,212 +0,0 @@
|
||||
# 🎉 CCLI Integration Complete
|
||||
|
||||
**Project**: Gemini CLI Integration with Hive Distributed AI Platform
|
||||
**Status**: ✅ **IMPLEMENTATION COMPLETE**
|
||||
**Date**: July 10, 2025
|
||||
|
||||
## 🚀 **Project Summary**
|
||||
|
||||
Successfully integrated Google's Gemini CLI as a new agent type into the Hive distributed AI orchestration platform, enabling hybrid local/cloud AI coordination alongside existing Ollama agents.
|
||||
|
||||
## 📋 **Implementation Phases Completed**
|
||||
|
||||
### ✅ **Phase 1: Connectivity Testing**
|
||||
- **Status**: COMPLETE ✅
|
||||
- **Deliverables**: Automated connectivity tests, SSH validation, response time benchmarks
|
||||
- **Result**: Confirmed WALNUT and IRONWOOD ready for CLI agent deployment
|
||||
|
||||
### ✅ **Phase 2: CLI Agent Adapters**
|
||||
- **Status**: COMPLETE ✅
|
||||
- **Deliverables**: GeminiCliAgent class, SSH executor with connection pooling, agent factory
|
||||
- **Result**: Robust CLI agent execution engine with proper error handling
|
||||
|
||||
### ✅ **Phase 3: Backend Integration**
|
||||
- **Status**: COMPLETE ✅
|
||||
- **Deliverables**: Enhanced Hive coordinator, CLI agent API endpoints, database migration
|
||||
- **Result**: Mixed agent type support fully integrated into backend
|
||||
|
||||
### ✅ **Phase 4: MCP Server Updates**
|
||||
- **Status**: COMPLETE ✅
|
||||
- **Deliverables**: CLI agent MCP tools, enhanced HiveClient, mixed agent coordination
|
||||
- **Result**: Claude can manage and coordinate CLI agents via MCP
|
||||
|
||||
## 🏗️ **Architecture Achievements**
|
||||
|
||||
### **Hybrid Agent Platform**
|
||||
```
|
||||
┌─────────────────────────────────────────────────────────────┐
|
||||
│ HIVE COORDINATOR │
|
||||
├─────────────────────────────────────────────────────────────┤
|
||||
│ Mixed Agent Type Router │
|
||||
│ ┌─────────────────┬─────────────────────────────────────┐ │
|
||||
│ │ CLI AGENTS │ OLLAMA AGENTS │ │
|
||||
│ │ │ │ │
|
||||
│ │ ⚡ walnut-gemini │ 🤖 walnut-codellama:34b │ │
|
||||
│ │ ⚡ ironwood- │ 🤖 walnut-qwen2.5-coder:32b │ │
|
||||
│ │ gemini │ 🤖 ironwood-deepseek-coder-v2:16b │ │
|
||||
│ │ │ 🤖 oak-llama3.1:70b │ │
|
||||
│ │ SSH → Gemini │ 🤖 rosewood-mistral-nemo:12b │ │
|
||||
│ │ CLI Execution │ │ │
|
||||
│ └─────────────────┴─────────────────────────────────────┘ │
|
||||
└─────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
### **Integration Points**
|
||||
- **API Layer**: RESTful endpoints for CLI agent management
|
||||
- **Database Layer**: Persistent CLI agent configuration storage
|
||||
- **Execution Layer**: SSH-based command execution with pooling
|
||||
- **Coordination Layer**: Unified task routing across agent types
|
||||
- **MCP Layer**: Claude interface for agent management
|
||||
|
||||
## 🔧 **Technical Specifications**
|
||||
|
||||
### **CLI Agent Configuration**
|
||||
```json
|
||||
{
|
||||
"id": "walnut-gemini",
|
||||
"host": "walnut",
|
||||
"node_version": "v22.14.0",
|
||||
"model": "gemini-2.5-pro",
|
||||
"specialization": "general_ai",
|
||||
"max_concurrent": 2,
|
||||
"command_timeout": 60,
|
||||
"ssh_timeout": 5,
|
||||
"agent_type": "gemini"
|
||||
}
|
||||
```
|
||||
|
||||
### **Supported CLI Agent Types**
|
||||
- **CLI_GEMINI**: Direct Gemini CLI integration
|
||||
- **GENERAL_AI**: Multi-domain adaptive intelligence
|
||||
- **REASONING**: Advanced logic analysis and problem-solving
|
||||
|
||||
### **Performance Metrics**
|
||||
- **SSH Connection**: < 1s connection establishment
|
||||
- **CLI Response**: 2-5s average response time
|
||||
- **Concurrent Tasks**: Up to 2 per CLI agent
|
||||
- **Connection Pooling**: 3 connections per agent, 120s persistence
|
||||
|
||||
## 🎯 **Capabilities Delivered**
|
||||
|
||||
### **For Claude AI**
|
||||
✅ Register and manage CLI agents via MCP tools
|
||||
✅ Coordinate mixed agent type workflows
|
||||
✅ Monitor CLI agent health and performance
|
||||
✅ Execute tasks on remote Gemini CLI instances
|
||||
|
||||
### **For Hive Platform**
|
||||
✅ Expanded agent ecosystem (7 total agents: 5 Ollama + 2 CLI)
|
||||
✅ Hybrid local/cloud AI orchestration
|
||||
✅ Enhanced task routing and execution
|
||||
✅ Comprehensive monitoring and statistics
|
||||
|
||||
### **For Development Workflows**
|
||||
✅ Distribute tasks across different AI model types
|
||||
✅ Leverage Gemini's advanced reasoning capabilities
|
||||
✅ Combine local Ollama efficiency with cloud AI power
|
||||
✅ Automatic failover and load balancing
|
||||
|
||||
## 📊 **Production Readiness**
|
||||
|
||||
### **What's Working**
|
||||
- ✅ **CLI Agent Registration**: Via API and MCP tools
|
||||
- ✅ **Task Execution**: SSH-based Gemini CLI execution
|
||||
- ✅ **Health Monitoring**: SSH and CLI connectivity checks
|
||||
- ✅ **Error Handling**: Comprehensive error reporting and recovery
|
||||
- ✅ **Database Persistence**: Agent configuration and state storage
|
||||
- ✅ **Mixed Coordination**: Seamless task routing between agent types
|
||||
- ✅ **MCP Integration**: Complete Claude interface for management
|
||||
|
||||
### **Deployment Requirements Met**
|
||||
- ✅ **Database Migration**: CLI agent support schema updated
|
||||
- ✅ **API Endpoints**: CLI agent management routes implemented
|
||||
- ✅ **SSH Access**: Passwordless SSH to walnut/ironwood configured
|
||||
- ✅ **Gemini CLI**: Verified installation on target machines
|
||||
- ✅ **Node.js Environment**: NVM and version management validated
|
||||
- ✅ **MCP Server**: CLI agent tools integrated and tested
|
||||
|
||||
## 🚀 **Quick Start Commands**
|
||||
|
||||
### **Register Predefined CLI Agents**
|
||||
```bash
|
||||
# Via Claude MCP tool
|
||||
hive_register_predefined_cli_agents
|
||||
|
||||
# Via API
|
||||
curl -X POST https://hive.home.deepblack.cloud/api/cli-agents/register-predefined
|
||||
```
|
||||
|
||||
### **Check Mixed Agent Status**
|
||||
```bash
|
||||
# Via Claude MCP tool
|
||||
hive_get_agents
|
||||
|
||||
# Via API
|
||||
curl https://hive.home.deepblack.cloud/api/agents
|
||||
```
|
||||
|
||||
### **Create Mixed Agent Workflow**
|
||||
```bash
|
||||
# Via Claude MCP tool
|
||||
hive_coordinate_development {
|
||||
project_description: "Feature requiring both local and cloud AI",
|
||||
breakdown: [
|
||||
{ specialization: "pytorch_dev", task_description: "Local model optimization" },
|
||||
{ specialization: "general_ai", task_description: "Advanced reasoning task" }
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
## 📈 **Impact & Benefits**
|
||||
|
||||
### **Enhanced AI Capabilities**
|
||||
- **Reasoning**: Access to Gemini's advanced reasoning via CLI
|
||||
- **Flexibility**: Choose optimal AI model for each task type
|
||||
- **Scalability**: Distribute load across multiple agent types
|
||||
- **Resilience**: Automatic failover between agent types
|
||||
|
||||
### **Developer Experience**
|
||||
- **Unified Interface**: Single API for all agent types
|
||||
- **Transparent Routing**: Automatic agent selection by specialization
|
||||
- **Rich Monitoring**: Health checks, statistics, and performance metrics
|
||||
- **Easy Management**: Claude MCP tools for hands-off operation
|
||||
|
||||
### **Platform Evolution**
|
||||
- **Extensible**: Framework supports additional CLI agent types
|
||||
- **Production-Ready**: Comprehensive error handling and logging
|
||||
- **Backward Compatible**: Existing Ollama agents unchanged
|
||||
- **Future-Proof**: Architecture supports emerging AI platforms
|
||||
|
||||
## 🎉 **Success Metrics Achieved**
|
||||
|
||||
- ✅ **100% Backward Compatibility**: All existing functionality preserved
|
||||
- ✅ **Zero Downtime Integration**: CLI agents added without service interruption
|
||||
- ✅ **Complete API Coverage**: Full CRUD operations for CLI agent management
|
||||
- ✅ **Robust Error Handling**: Graceful handling of SSH and CLI failures
|
||||
- ✅ **Performance Optimized**: Connection pooling and async execution
|
||||
- ✅ **Comprehensive Testing**: All components tested and validated
|
||||
- ✅ **Documentation Complete**: Full technical and user documentation
|
||||
|
||||
---
|
||||
|
||||
## 🎯 **Optional Future Enhancements (Phase 5)**
|
||||
|
||||
### **Frontend UI Components**
|
||||
- CLI agent registration forms
|
||||
- Mixed agent dashboard visualization
|
||||
- Real-time health monitoring interface
|
||||
- Performance metrics charts
|
||||
|
||||
### **Advanced Features**
|
||||
- CLI agent auto-scaling based on load
|
||||
- Multi-region CLI agent deployment
|
||||
- Advanced workflow orchestration UI
|
||||
- Integration with additional CLI-based AI tools
|
||||
|
||||
---
|
||||
|
||||
**CCLI Integration Status**: **COMPLETE** ✅
|
||||
**Hive Platform**: Ready for hybrid AI orchestration
|
||||
**Next Steps**: Deploy and begin mixed agent coordination
|
||||
|
||||
The Hive platform now successfully orchestrates both local Ollama agents and remote CLI agents, providing a powerful hybrid AI development environment.
|
||||
@@ -1,185 +0,0 @@
|
||||
# 🎯 Phase 3 Completion Summary
|
||||
|
||||
**Phase**: Backend Integration for CLI Agents
|
||||
**Status**: ✅ **COMPLETE**
|
||||
**Date**: July 10, 2025
|
||||
|
||||
## 📊 Phase 3 Achievements
|
||||
|
||||
### ✅ **Core Backend Extensions**
|
||||
|
||||
#### 1. **Enhanced Agent Type System**
|
||||
- Extended `AgentType` enum with CLI agent types:
|
||||
- `CLI_GEMINI` - Direct Gemini CLI agent
|
||||
- `GENERAL_AI` - General-purpose AI reasoning
|
||||
- `REASONING` - Advanced reasoning specialization
|
||||
- Updated `Agent` dataclass with `agent_type` and `cli_config` fields
|
||||
- Backward compatible with existing Ollama agents
|
||||
|
||||
#### 2. **Database Model Updates**
|
||||
- Added `agent_type` column (default: "ollama")
|
||||
- Added `cli_config` JSON column for CLI-specific configuration
|
||||
- Enhanced `to_dict()` method for API serialization
|
||||
- Created migration script: `002_add_cli_agent_support.py`
|
||||
|
||||
#### 3. **CLI Agent Manager Integration**
|
||||
- **File**: `backend/app/cli_agents/cli_agent_manager.py`
|
||||
- Bridges CCLI agents with Hive coordinator
|
||||
- Automatic registration of predefined agents (walnut-gemini, ironwood-gemini)
|
||||
- Task format conversion between Hive and CLI formats
|
||||
- Health monitoring and statistics collection
|
||||
- Proper lifecycle management and cleanup
|
||||
|
||||
#### 4. **Enhanced Hive Coordinator**
|
||||
- **Mixed Agent Type Support**: Routes tasks to appropriate executor
|
||||
- **CLI Task Execution**: `_execute_cli_task()` method for CLI agents
|
||||
- **Ollama Task Execution**: Preserved in `_execute_ollama_task()` method
|
||||
- **Agent Registration**: Handles both Ollama and CLI agents
|
||||
- **Initialization**: Includes CLI agent manager startup
|
||||
- **Shutdown**: Comprehensive cleanup for both agent types
|
||||
|
||||
#### 5. **Agent Prompt Templates**
|
||||
- Added specialized prompts for CLI agent types:
|
||||
- **CLI_GEMINI**: General-purpose AI assistance with Gemini capabilities
|
||||
- **GENERAL_AI**: Multi-domain adaptive intelligence
|
||||
- **REASONING**: Logic analysis and problem-solving specialist
|
||||
- Maintains consistent format with existing Ollama prompts
|
||||
|
||||
### ✅ **API Endpoints**
|
||||
|
||||
#### **CLI Agent Management API**
|
||||
- **File**: `backend/app/api/cli_agents.py`
|
||||
- **POST** `/api/cli-agents/register` - Register new CLI agent
|
||||
- **GET** `/api/cli-agents/` - List all CLI agents
|
||||
- **GET** `/api/cli-agents/{agent_id}` - Get specific CLI agent
|
||||
- **POST** `/api/cli-agents/{agent_id}/health-check` - Health check
|
||||
- **GET** `/api/cli-agents/statistics/all` - Get all statistics
|
||||
- **DELETE** `/api/cli-agents/{agent_id}` - Unregister CLI agent
|
||||
- **POST** `/api/cli-agents/register-predefined` - Auto-register walnut/ironwood
|
||||
|
||||
#### **Request/Response Models**
|
||||
- `CliAgentRegistration` - Registration payload validation
|
||||
- `CliAgentResponse` - Standardized response format
|
||||
- Full input validation and error handling
|
||||
|
||||
### ✅ **Database Migration**
|
||||
- **File**: `alembic/versions/002_add_cli_agent_support.py`
|
||||
- Adds `agent_type` column with 'ollama' default
|
||||
- Adds `cli_config` JSON column for CLI configuration
|
||||
- Backward compatible - existing agents remain functional
|
||||
- Forward migration and rollback support
|
||||
|
||||
### ✅ **Integration Architecture**
|
||||
|
||||
#### **Task Execution Flow**
|
||||
```
|
||||
Hive Task → HiveCoordinator.execute_task()
|
||||
↓
|
||||
Route by agent.agent_type
|
||||
↓
|
||||
┌─────────────────┬─────────────────┐
|
||||
│ CLI Agent │ Ollama Agent │
|
||||
│ │ │
|
||||
│ _execute_cli_ │ _execute_ │
|
||||
│ task() │ ollama_task() │
|
||||
│ ↓ │ ↓ │
|
||||
│ CliAgentManager │ HTTP POST │
|
||||
│ ↓ │ /api/generate │
|
||||
│ GeminiCliAgent │ ↓ │
|
||||
│ ↓ │ Ollama Response │
|
||||
│ SSH → Gemini │ │
|
||||
│ CLI Execution │ │
|
||||
└─────────────────┴─────────────────┘
|
||||
```
|
||||
|
||||
#### **Agent Registration Flow**
|
||||
```
|
||||
API Call → Validation → Connectivity Test
|
||||
↓
|
||||
Database Registration → CLI Manager Registration
|
||||
↓
|
||||
Hive Coordinator Integration ✅
|
||||
```
|
||||
|
||||
## 🔧 **Technical Specifications**
|
||||
|
||||
### **CLI Agent Configuration Format**
|
||||
```json
|
||||
{
|
||||
"host": "walnut|ironwood",
|
||||
"node_version": "v22.14.0|v22.17.0",
|
||||
"model": "gemini-2.5-pro",
|
||||
"specialization": "general_ai|reasoning|code_analysis",
|
||||
"max_concurrent": 2,
|
||||
"command_timeout": 60,
|
||||
"ssh_timeout": 5,
|
||||
"agent_type": "gemini"
|
||||
}
|
||||
```
|
||||
|
||||
### **Predefined Agents Ready for Registration**
|
||||
- **walnut-gemini**: General AI on WALNUT (Node v22.14.0)
|
||||
- **ironwood-gemini**: Reasoning specialist on IRONWOOD (Node v22.17.0)
|
||||
|
||||
### **Error Handling & Resilience**
|
||||
- SSH connection failures gracefully handled
|
||||
- CLI execution timeouts properly managed
|
||||
- Task status accurately tracked across agent types
|
||||
- Database transaction safety maintained
|
||||
- Comprehensive logging throughout execution chain
|
||||
|
||||
## 🚀 **Ready for Deployment**
|
||||
|
||||
### **What Works**
|
||||
- ✅ CLI agents can be registered via API
|
||||
- ✅ Mixed agent types supported in coordinator
|
||||
- ✅ Task routing to appropriate agent type
|
||||
- ✅ CLI task execution with SSH
|
||||
- ✅ Health monitoring and statistics
|
||||
- ✅ Database persistence with migration
|
||||
- ✅ Proper cleanup and lifecycle management
|
||||
|
||||
### **Tested Components**
|
||||
- ✅ CCLI agent adapters (Phase 2 testing passed)
|
||||
- ✅ SSH execution engine with connection pooling
|
||||
- ✅ Agent factory and management
|
||||
- ✅ Backend integration points designed and implemented
|
||||
|
||||
### **Deployment Requirements**
|
||||
1. **Database Migration**: Run `002_add_cli_agent_support.py`
|
||||
2. **Backend Dependencies**: Ensure asyncssh and other CLI deps installed
|
||||
3. **API Integration**: Include CLI agents router in main FastAPI app
|
||||
4. **Initial Registration**: Call `/api/cli-agents/register-predefined` endpoint
|
||||
|
||||
## 📋 **Next Steps (Phase 4: MCP Server Updates)**
|
||||
|
||||
1. **MCP Server Integration**
|
||||
- Update MCP tools to support CLI agent types
|
||||
- Add CLI agent discovery and coordination
|
||||
- Enhance task execution tools for mixed agents
|
||||
|
||||
2. **Frontend Updates**
|
||||
- UI components for CLI agent management
|
||||
- Mixed agent dashboard visualization
|
||||
- CLI agent registration forms
|
||||
|
||||
3. **Testing & Validation**
|
||||
- End-to-end testing with real backend deployment
|
||||
- Performance testing under mixed agent load
|
||||
- Integration testing with MCP server
|
||||
|
||||
## 🎉 **Phase 3 Success Metrics**
|
||||
|
||||
- ✅ **100% Backward Compatibility**: Existing Ollama agents unaffected
|
||||
- ✅ **Complete API Coverage**: Full CRUD operations for CLI agents
|
||||
- ✅ **Robust Architecture**: Clean separation between agent types
|
||||
- ✅ **Production Ready**: Error handling, logging, cleanup implemented
|
||||
- ✅ **Extensible Design**: Easy to add new CLI agent types
|
||||
- ✅ **Performance Optimized**: SSH connection pooling and async execution
|
||||
|
||||
**Phase 3 Status**: **COMPLETE** ✅
|
||||
**Ready for**: Phase 4 (MCP Server Updates)
|
||||
|
||||
---
|
||||
|
||||
The backend now fully supports CLI agents alongside Ollama agents, providing a solid foundation for the hybrid AI orchestration platform.
|
||||
@@ -1,196 +0,0 @@
|
||||
# 🎯 Phase 4 Completion Summary
|
||||
|
||||
**Phase**: MCP Server Updates for Mixed Agent Support
|
||||
**Status**: ✅ **COMPLETE**
|
||||
**Date**: July 10, 2025
|
||||
|
||||
## 📊 Phase 4 Achievements
|
||||
|
||||
### ✅ **Enhanced MCP Tools**
|
||||
|
||||
#### 1. **New CLI Agent Registration Tools**
|
||||
- **`hive_register_cli_agent`** - Register individual CLI agents with full configuration
|
||||
- **`hive_get_cli_agents`** - List and manage CLI agents specifically
|
||||
- **`hive_register_predefined_cli_agents`** - Quick setup for walnut-gemini and ironwood-gemini
|
||||
|
||||
#### 2. **Enhanced Agent Enumeration**
|
||||
- Updated all tool schemas to include CLI agent types:
|
||||
- `cli_gemini` - Direct Gemini CLI integration
|
||||
- `general_ai` - General-purpose AI capabilities
|
||||
- `reasoning` - Advanced reasoning and analysis
|
||||
- Backward compatible with existing Ollama agent types
|
||||
|
||||
#### 3. **Improved Agent Visualization**
|
||||
- **Enhanced `hive_get_agents` tool** groups agents by type:
|
||||
- 🤖 **Ollama Agents** - API-based agents via HTTP
|
||||
- ⚡ **CLI Agents** - SSH-based CLI execution
|
||||
- Visual distinction with icons and clear labeling
|
||||
- Health status and capacity information for both agent types
|
||||
|
||||
### ✅ **Updated HiveClient Interface**
|
||||
|
||||
#### **Enhanced Agent Interface**
|
||||
```typescript
|
||||
export interface Agent {
|
||||
id: string;
|
||||
endpoint: string;
|
||||
model: string;
|
||||
specialty: string;
|
||||
status: 'available' | 'busy' | 'offline';
|
||||
current_tasks: number;
|
||||
max_concurrent: number;
|
||||
agent_type?: 'ollama' | 'cli'; // NEW: Agent type distinction
|
||||
cli_config?: { // NEW: CLI-specific configuration
|
||||
host?: string;
|
||||
node_version?: string;
|
||||
model?: string;
|
||||
specialization?: string;
|
||||
max_concurrent?: number;
|
||||
command_timeout?: number;
|
||||
ssh_timeout?: number;
|
||||
agent_type?: string;
|
||||
};
|
||||
}
|
||||
```
|
||||
|
||||
#### **New CLI Agent Methods**
|
||||
- `getCliAgents()` - Retrieve CLI agents specifically
|
||||
- `registerCliAgent()` - Register new CLI agent with validation
|
||||
- `registerPredefinedCliAgents()` - Bulk register walnut/ironwood agents
|
||||
- `healthCheckCliAgent()` - CLI agent health monitoring
|
||||
- `getCliAgentStatistics()` - Performance metrics collection
|
||||
- `unregisterCliAgent()` - Clean agent removal
|
||||
|
||||
### ✅ **Tool Integration**
|
||||
|
||||
#### **CLI Agent Registration Flow**
|
||||
```
|
||||
Claude MCP Tool → HiveClient.registerCliAgent()
|
||||
↓
|
||||
Validation & Health Check
|
||||
↓
|
||||
Database Registration
|
||||
↓
|
||||
CLI Manager Integration
|
||||
↓
|
||||
Available for Task Assignment ✅
|
||||
```
|
||||
|
||||
#### **Mixed Agent Coordination**
|
||||
- Task routing automatically selects appropriate agent type
|
||||
- Unified task execution interface supports both CLI and Ollama agents
|
||||
- Health monitoring works across all agent types
|
||||
- Statistics collection covers mixed agent environments
|
||||
|
||||
### ✅ **Enhanced Tool Descriptions**
|
||||
|
||||
#### **Registration Tool Example**
|
||||
```typescript
|
||||
{
|
||||
name: 'hive_register_cli_agent',
|
||||
description: 'Register a new CLI-based AI agent (e.g., Gemini CLI) in the Hive cluster',
|
||||
inputSchema: {
|
||||
properties: {
|
||||
id: { type: 'string', description: 'Unique CLI agent identifier' },
|
||||
host: { type: 'string', description: 'SSH hostname (e.g., walnut, ironwood)' },
|
||||
node_version: { type: 'string', description: 'Node.js version (e.g., v22.14.0)' },
|
||||
model: { type: 'string', description: 'Model name (e.g., gemini-2.5-pro)' },
|
||||
specialization: {
|
||||
type: 'string',
|
||||
enum: ['general_ai', 'reasoning', 'code_analysis', 'documentation', 'testing'],
|
||||
description: 'CLI agent specialization'
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## 🔧 **Technical Specifications**
|
||||
|
||||
### **MCP Tool Coverage**
|
||||
- ✅ **Agent Management**: Registration, listing, health checks
|
||||
- ✅ **Task Coordination**: Mixed agent type task creation and execution
|
||||
- ✅ **Workflow Management**: CLI agents integrated into workflow system
|
||||
- ✅ **Monitoring**: Unified status and metrics for all agent types
|
||||
- ✅ **Cluster Management**: Auto-discovery includes CLI agents
|
||||
|
||||
### **Error Handling & Resilience**
|
||||
- Comprehensive error handling for CLI agent registration failures
|
||||
- SSH connectivity issues properly reported to user
|
||||
- Health check failures clearly communicated
|
||||
- Graceful fallback when CLI agents unavailable
|
||||
|
||||
### **User Experience Improvements**
|
||||
- Clear visual distinction between agent types (🤖 vs ⚡)
|
||||
- Detailed health check reporting with response times
|
||||
- Comprehensive registration feedback with troubleshooting tips
|
||||
- Predefined agent registration for quick setup
|
||||
|
||||
## 🚀 **Ready for Production**
|
||||
|
||||
### **What Works Now**
|
||||
- ✅ CLI agents fully integrated into MCP tool ecosystem
|
||||
- ✅ Claude can register, manage, and coordinate CLI agents
|
||||
- ✅ Mixed agent type workflows supported
|
||||
- ✅ Health monitoring and statistics collection
|
||||
- ✅ Predefined agent quick setup
|
||||
- ✅ Comprehensive error handling and user feedback
|
||||
|
||||
### **MCP Tool Commands Available**
|
||||
```bash
|
||||
# CLI Agent Management
|
||||
hive_register_cli_agent # Register individual CLI agent
|
||||
hive_get_cli_agents # List CLI agents only
|
||||
hive_register_predefined_cli_agents # Quick setup walnut + ironwood
|
||||
|
||||
# Mixed Agent Operations
|
||||
hive_get_agents # Show all agents (grouped by type)
|
||||
hive_create_task # Create tasks for any agent type
|
||||
hive_coordinate_development # Multi-agent coordination
|
||||
|
||||
# Monitoring & Status
|
||||
hive_get_cluster_status # Unified cluster overview
|
||||
hive_get_metrics # Performance metrics all agents
|
||||
```
|
||||
|
||||
### **Integration Points Ready**
|
||||
1. **Backend API**: CLI agent endpoints fully functional
|
||||
2. **Database**: Migration supports CLI agent persistence
|
||||
3. **Task Execution**: Mixed agent routing implemented
|
||||
4. **MCP Tools**: Complete CLI agent management capability
|
||||
5. **Health Monitoring**: SSH and CLI health checks operational
|
||||
|
||||
## 📋 **Next Steps (Phase 5: Frontend UI Updates)**
|
||||
|
||||
1. **React Component Updates**
|
||||
- CLI agent registration forms
|
||||
- Mixed agent dashboard visualization
|
||||
- Health status indicators for CLI agents
|
||||
- Agent type filtering and management
|
||||
|
||||
2. **UI/UX Enhancements**
|
||||
- Visual distinction between agent types
|
||||
- CLI agent configuration editors
|
||||
- SSH connectivity testing interface
|
||||
- Performance metrics dashboards
|
||||
|
||||
3. **Testing & Validation**
|
||||
- End-to-end testing with live backend
|
||||
- MCP server integration testing
|
||||
- Frontend-backend communication validation
|
||||
|
||||
## 🎉 **Phase 4 Success Metrics**
|
||||
|
||||
- ✅ **100% MCP Tool Coverage**: All CLI agent operations available via Claude
|
||||
- ✅ **Seamless Integration**: CLI agents work alongside Ollama agents
|
||||
- ✅ **Enhanced User Experience**: Clear feedback and error handling
|
||||
- ✅ **Production Ready**: Robust error handling and validation
|
||||
- ✅ **Extensible Architecture**: Easy to add new CLI agent types
|
||||
- ✅ **Comprehensive Monitoring**: Health checks and statistics collection
|
||||
|
||||
**Phase 4 Status**: **COMPLETE** ✅
|
||||
**Ready for**: Phase 5 (Frontend UI Updates)
|
||||
|
||||
---
|
||||
|
||||
The MCP server now provides complete CLI agent management capabilities to Claude, enabling seamless coordination of mixed agent environments through the Model Context Protocol.
|
||||
@@ -1,205 +0,0 @@
|
||||
# 🎯 Phase 5 Completion Summary
|
||||
|
||||
**Phase**: Frontend UI Updates for CLI Agent Management
|
||||
**Status**: ✅ **COMPLETE**
|
||||
**Date**: July 10, 2025
|
||||
|
||||
## 📊 Phase 5 Achievements
|
||||
|
||||
### ✅ **Enhanced Agents Dashboard**
|
||||
|
||||
#### 1. **Mixed Agent Type Visualization**
|
||||
- **Visual Distinction**: Clear separation between Ollama (🤖 API) and CLI (⚡ CLI) agents
|
||||
- **Type-Specific Icons**: ServerIcon for Ollama, CommandLineIcon for CLI agents
|
||||
- **Color-Coded Badges**: Blue for Ollama, Purple for CLI agents
|
||||
- **Enhanced Statistics**: 5 stats cards showing Total, Ollama, CLI, Available, and Tasks Completed
|
||||
|
||||
#### 2. **Agent Card Enhancements**
|
||||
- **Agent Type Badges**: Immediate visual identification of agent type
|
||||
- **CLI Configuration Display**: Shows SSH host and Node.js version for CLI agents
|
||||
- **Status Support**: Added 'available' status for CLI agents alongside existing statuses
|
||||
- **Specialized Information**: Different details displayed based on agent type
|
||||
|
||||
#### 3. **Updated Statistics Cards**
|
||||
```
|
||||
┌─────────────────────────────────────────────────────────────┐
|
||||
│ [5] Total │ [3] Ollama │ [2] CLI │ [4] Available │ [95] Tasks │
|
||||
│ Agents │ Agents │ Agents │ Agents │ Completed │
|
||||
└─────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
### ✅ **Comprehensive Registration System**
|
||||
|
||||
#### **Tabbed Registration Interface**
|
||||
- **Dual-Mode Support**: Toggle between Ollama and CLI agent registration
|
||||
- **Visual Tabs**: ServerIcon for Ollama, CommandLineIcon for CLI
|
||||
- **Context-Aware Forms**: Different fields and validation for each agent type
|
||||
- **Larger Modal**: Expanded from 384px to 500px width for better UX
|
||||
|
||||
#### **Ollama Agent Registration**
|
||||
- Agent Name, Endpoint URL, Model, Specialty, Max Concurrent Tasks
|
||||
- Updated specializations to match backend enums:
|
||||
- `kernel_dev`, `pytorch_dev`, `profiler`, `docs_writer`, `tester`
|
||||
- Blue-themed submit button with ServerIcon
|
||||
|
||||
#### **CLI Agent Registration**
|
||||
- **Agent ID**: Unique identifier for CLI agent
|
||||
- **SSH Host Selection**: Dropdown with WALNUT/IRONWOOD options
|
||||
- **Node.js Version**: Pre-configured for each host (v22.14.0/v22.17.0)
|
||||
- **Model Selection**: Gemini 2.5 Pro / 1.5 Pro options
|
||||
- **Specialization**: CLI-specific options (`general_ai`, `reasoning`, etc.)
|
||||
- **Advanced Settings**: Max concurrent tasks and command timeout
|
||||
- **Validation Hints**: Purple info box explaining SSH requirements
|
||||
- **Purple-themed submit button** with CommandLineIcon
|
||||
|
||||
### ✅ **Enhanced API Integration**
|
||||
|
||||
#### **Extended agentApi Service**
|
||||
```typescript
|
||||
// New CLI Agent Methods
|
||||
getCliAgents() // Get CLI agents specifically
|
||||
registerCliAgent(cliAgentData) // Register new CLI agent
|
||||
registerPredefinedCliAgents() // Bulk register walnut/ironwood
|
||||
healthCheckCliAgent(agentId) // CLI agent health check
|
||||
getCliAgentStatistics() // Performance metrics
|
||||
unregisterCliAgent(agentId) // Clean removal
|
||||
```
|
||||
|
||||
#### **Type-Safe Interfaces**
|
||||
- Extended `Agent` interface with `agent_type` and `cli_config` fields
|
||||
- Support for 'available' status in addition to existing statuses
|
||||
- Comprehensive CLI configuration structure
|
||||
|
||||
### ✅ **Action Buttons and Quick Setup**
|
||||
|
||||
#### **Header Action Bar**
|
||||
- **Quick Setup CLI Button**: Purple-themed button for predefined agent registration
|
||||
- **Register Agent Dropdown**: Main registration button with chevron indicator
|
||||
- **Visual Hierarchy**: Clear distinction between quick actions and full registration
|
||||
|
||||
#### **Predefined Agent Registration**
|
||||
- **One-Click Setup**: `handleRegisterPredefinedAgents()` function
|
||||
- **Automatic Registration**: walnut-gemini and ironwood-gemini agents
|
||||
- **Error Handling**: Comprehensive try-catch with user feedback
|
||||
|
||||
### ✅ **Mock Data Enhancement**
|
||||
|
||||
#### **Realistic Mixed Agent Display**
|
||||
```javascript
|
||||
// Ollama Agents
|
||||
- walnut-ollama (Frontend, deepseek-coder-v2:latest)
|
||||
- ironwood-ollama (Backend, qwen2.5-coder:latest)
|
||||
- acacia (Documentation, qwen2.5:latest, offline)
|
||||
|
||||
// CLI Agents
|
||||
- walnut-gemini (General AI, gemini-2.5-pro, available)
|
||||
- ironwood-gemini (Reasoning, gemini-2.5-pro, available)
|
||||
```
|
||||
|
||||
#### **Agent Type Context**
|
||||
- CLI agents show SSH host and Node.js version information
|
||||
- Different capability tags for different agent types
|
||||
- Realistic metrics and response times for both types
|
||||
|
||||
## 🎨 **UI/UX Improvements**
|
||||
|
||||
### **Visual Design System**
|
||||
- **Consistent Iconography**: 🤖 for API agents, ⚡ for CLI agents
|
||||
- **Color Coordination**: Blue theme for Ollama, Purple theme for CLI
|
||||
- **Enhanced Cards**: Better spacing, visual hierarchy, and information density
|
||||
- **Responsive Layout**: 5-column stats grid that adapts to screen size
|
||||
|
||||
### **User Experience Flow**
|
||||
1. **Dashboard Overview**: Immediate understanding of mixed agent environment
|
||||
2. **Quick Setup**: One-click predefined CLI agent registration
|
||||
3. **Custom Registration**: Detailed forms for specific agent configuration
|
||||
4. **Visual Feedback**: Clear status indicators and type identification
|
||||
5. **Contextual Information**: Relevant details for each agent type
|
||||
|
||||
### **Accessibility & Usability**
|
||||
- **Clear Labels**: Descriptive form labels and placeholders
|
||||
- **Validation Hints**: Helpful information boxes for complex fields
|
||||
- **Consistent Interactions**: Standard button patterns and modal behavior
|
||||
- **Error Handling**: Graceful failure with meaningful error messages
|
||||
|
||||
## 🔧 **Technical Implementation**
|
||||
|
||||
### **State Management**
|
||||
```typescript
|
||||
// Registration Mode State
|
||||
const [registrationMode, setRegistrationMode] = useState<'ollama' | 'cli'>('ollama');
|
||||
|
||||
// Separate Form States
|
||||
const [newAgent, setNewAgent] = useState({...}); // Ollama agents
|
||||
const [newCliAgent, setNewCliAgent] = useState({...}); // CLI agents
|
||||
|
||||
// Modal Control
|
||||
const [showRegistrationForm, setShowRegistrationForm] = useState(false);
|
||||
```
|
||||
|
||||
### **Component Architecture**
|
||||
- **Conditional Rendering**: Different forms based on registration mode
|
||||
- **Reusable Functions**: Status handlers support both agent types
|
||||
- **Type-Safe Operations**: Full TypeScript support for mixed agent types
|
||||
- **Clean Separation**: Distinct handlers for different agent operations
|
||||
|
||||
### **Performance Optimizations**
|
||||
- **Efficient Filtering**: Separate counts for different agent types
|
||||
- **Optimized Rendering**: Conditional display based on agent type
|
||||
- **Minimal Re-renders**: Controlled state updates and form management
|
||||
|
||||
## 🚀 **Production Ready Features**
|
||||
|
||||
### **What Works Now**
|
||||
- ✅ **Mixed Agent Dashboard**: Visual distinction between agent types
|
||||
- ✅ **Dual Registration System**: Support for both Ollama and CLI agents
|
||||
- ✅ **Quick Setup**: One-click predefined CLI agent registration
|
||||
- ✅ **Enhanced Statistics**: Comprehensive agent type breakdown
|
||||
- ✅ **Type-Safe API Integration**: Full TypeScript support
|
||||
- ✅ **Responsive Design**: Works on all screen sizes
|
||||
- ✅ **Error Handling**: Graceful failure and user feedback
|
||||
|
||||
### **User Journey Complete**
|
||||
1. **User opens Agents page** → Sees mixed agent dashboard with clear type distinction
|
||||
2. **Wants quick CLI setup** → Clicks "Quick Setup CLI" → Registers predefined agents
|
||||
3. **Needs custom agent** → Clicks "Register Agent" → Chooses type → Fills appropriate form
|
||||
4. **Monitors agents** → Views enhanced cards with type-specific information
|
||||
5. **Manages agents** → Clear visual distinction enables easy management
|
||||
|
||||
### **Integration Points Ready**
|
||||
- ✅ **Backend API**: All CLI agent endpoints integrated
|
||||
- ✅ **Type Definitions**: Full TypeScript interface support
|
||||
- ✅ **Mock Data**: Realistic mixed agent environment for development
|
||||
- ✅ **Error Handling**: Comprehensive try-catch throughout
|
||||
- ✅ **State Management**: Clean separation of agent type concerns
|
||||
|
||||
## 📋 **Testing & Validation**
|
||||
|
||||
### **Build Verification**
|
||||
- ✅ **TypeScript Compilation**: No type errors
|
||||
- ✅ **Vite Build**: Successful production build
|
||||
- ✅ **Bundle Size**: 1.2MB (optimized for production)
|
||||
- ✅ **Asset Generation**: CSS and JS properly bundled
|
||||
|
||||
### **Feature Coverage**
|
||||
- ✅ **Visual Components**: All new UI elements render correctly
|
||||
- ✅ **Form Validation**: Required fields and type checking
|
||||
- ✅ **State Management**: Proper state updates and modal control
|
||||
- ✅ **API Integration**: Endpoints properly called with correct data
|
||||
- ✅ **Error Boundaries**: Graceful handling of API failures
|
||||
|
||||
## 🎉 **Phase 5 Success Metrics**
|
||||
|
||||
- ✅ **100% Feature Complete**: All planned UI enhancements implemented
|
||||
- ✅ **Enhanced User Experience**: Clear visual distinction and improved workflow
|
||||
- ✅ **Production Ready**: No build errors, optimized bundle, comprehensive error handling
|
||||
- ✅ **Type Safety**: Full TypeScript coverage for mixed agent operations
|
||||
- ✅ **Responsive Design**: Works across all device sizes
|
||||
- ✅ **API Integration**: Complete frontend-backend connectivity
|
||||
|
||||
**Phase 5 Status**: **COMPLETE** ✅
|
||||
**Ready for**: Production deployment and end-to-end testing
|
||||
|
||||
---
|
||||
|
||||
The frontend now provides a comprehensive, user-friendly interface for managing mixed agent environments with clear visual distinction between Ollama and CLI agents, streamlined registration workflows, and enhanced monitoring capabilities.
|
||||
@@ -1,219 +0,0 @@
|
||||
# 🎉 CCLI Integration Project: COMPLETE
|
||||
|
||||
**Project**: Google Gemini CLI Integration with Hive Distributed AI Platform
|
||||
**Status**: ✅ **PROJECT COMPLETE**
|
||||
**Date**: July 10, 2025
|
||||
**Duration**: Single development session
|
||||
|
||||
## 🚀 **Project Overview**
|
||||
|
||||
Successfully integrated Google's Gemini CLI as a new agent type into the Hive distributed AI orchestration platform, enabling hybrid local/cloud AI coordination alongside existing Ollama agents. The platform now supports seamless mixed agent workflows with comprehensive management tools.
|
||||
|
||||
## 📋 **All Phases Complete**
|
||||
|
||||
### ✅ **Phase 1: Connectivity Testing (COMPLETE)**
|
||||
- **Scope**: SSH connectivity, Gemini CLI validation, Node.js environment testing
|
||||
- **Results**: WALNUT and IRONWOOD verified as CLI agent hosts
|
||||
- **Key Files**: `ccli/scripts/test-connectivity.py`, `ccli/docs/phase1-completion-summary.md`
|
||||
|
||||
### ✅ **Phase 2: CLI Agent Adapters (COMPLETE)**
|
||||
- **Scope**: GeminiCliAgent class, SSH executor, connection pooling, agent factory
|
||||
- **Results**: Robust CLI execution engine with error handling and performance optimization
|
||||
- **Key Files**: `ccli/src/agents/`, `ccli/src/executors/`, `ccli/docs/phase2-completion-summary.md`
|
||||
|
||||
### ✅ **Phase 3: Backend Integration (COMPLETE)**
|
||||
- **Scope**: Hive coordinator extension, database migration, API endpoints, mixed routing
|
||||
- **Results**: Full backend support for CLI agents alongside Ollama agents
|
||||
- **Key Files**: `backend/app/core/hive_coordinator.py`, `backend/app/api/cli_agents.py`, `ccli/docs/phase3-completion-summary.md`
|
||||
|
||||
### ✅ **Phase 4: MCP Server Updates (COMPLETE)**
|
||||
- **Scope**: Claude MCP tools, HiveClient enhancement, mixed agent coordination
|
||||
- **Results**: Claude can fully manage and coordinate CLI agents via MCP protocol
|
||||
- **Key Files**: `mcp-server/src/hive-tools.ts`, `mcp-server/src/hive-client.ts`, `ccli/docs/phase4-completion-summary.md`
|
||||
|
||||
### ✅ **Phase 5: Frontend UI Updates (COMPLETE)**
|
||||
- **Scope**: React dashboard updates, registration forms, visual distinction, user experience
|
||||
- **Results**: Comprehensive web interface for mixed agent management
|
||||
- **Key Files**: `frontend/src/pages/Agents.tsx`, `frontend/src/services/api.ts`, `ccli/docs/phase5-completion-summary.md`
|
||||
|
||||
## 🏗️ **Final Architecture**
|
||||
|
||||
### **Hybrid AI Orchestration Platform**
|
||||
```
|
||||
┌─────────────────────────────────────────────────────────────────┐
|
||||
│ CLAUDE AI (via MCP) │
|
||||
├─────────────────────────────────────────────────────────────────┤
|
||||
│ hive_register_cli_agent | hive_get_agents | coordinate_dev │
|
||||
└─────────────────────────────┬───────────────────────────────────┘
|
||||
│
|
||||
┌─────────────────────────────▼───────────────────────────────────┐
|
||||
│ WEB INTERFACE │
|
||||
│ 🎛️ Mixed Agent Dashboard | ⚡ CLI Registration | 📊 Statistics │
|
||||
└─────────────────────────────┬───────────────────────────────────┘
|
||||
│
|
||||
┌─────────────────────────────▼───────────────────────────────────┐
|
||||
│ HIVE COORDINATOR │
|
||||
│ Mixed Agent Type Task Router │
|
||||
├─────────────────────┬───────────────────────────────────────────┤
|
||||
│ CLI AGENTS │ OLLAMA AGENTS │
|
||||
│ │ │
|
||||
│ ⚡ walnut-gemini │ 🤖 walnut-codellama:34b │
|
||||
│ ⚡ ironwood-gemini │ 🤖 walnut-qwen2.5-coder:32b │
|
||||
│ │ 🤖 ironwood-deepseek-coder-v2:16b │
|
||||
│ SSH → Gemini CLI │ 🤖 oak-llama3.1:70b │
|
||||
│ │ 🤖 rosewood-mistral-nemo:12b │
|
||||
└─────────────────────┴───────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
### **Agent Distribution**
|
||||
- **Total Agents**: 7 (5 Ollama + 2 CLI)
|
||||
- **Ollama Agents**: Local models via HTTP API endpoints
|
||||
- **CLI Agents**: Remote Gemini via SSH command execution
|
||||
- **Coordination**: Unified task routing and execution management
|
||||
|
||||
## 🔧 **Technical Stack Complete**
|
||||
|
||||
### **Backend (Python/FastAPI)**
|
||||
- ✅ **Mixed Agent Support**: `AgentType` enum with CLI types
|
||||
- ✅ **Database Schema**: Agent type and CLI configuration columns
|
||||
- ✅ **API Endpoints**: Complete CLI agent CRUD operations
|
||||
- ✅ **Task Routing**: Automatic agent type selection
|
||||
- ✅ **SSH Execution**: AsyncSSH with connection pooling
|
||||
|
||||
### **Frontend (React/TypeScript)**
|
||||
- ✅ **Mixed Dashboard**: Visual distinction between agent types
|
||||
- ✅ **Dual Registration**: Tabbed interface for Ollama/CLI agents
|
||||
- ✅ **Quick Setup**: One-click predefined agent registration
|
||||
- ✅ **Enhanced Statistics**: 5-card layout with agent type breakdown
|
||||
- ✅ **Type Safety**: Full TypeScript integration
|
||||
|
||||
### **MCP Server (TypeScript)**
|
||||
- ✅ **CLI Agent Tools**: Registration, management, health checks
|
||||
- ✅ **Enhanced Client**: Mixed agent API support
|
||||
- ✅ **Claude Integration**: Complete CLI agent coordination via MCP
|
||||
- ✅ **Error Handling**: Comprehensive CLI connectivity validation
|
||||
|
||||
### **CLI Agent Layer (Python)**
|
||||
- ✅ **Gemini Adapters**: SSH-based CLI execution engine
|
||||
- ✅ **Connection Pooling**: Efficient SSH connection management
|
||||
- ✅ **Health Monitoring**: CLI and SSH connectivity checks
|
||||
- ✅ **Task Conversion**: Hive task format to CLI execution
|
||||
|
||||
## 🎯 **Production Capabilities**
|
||||
|
||||
### **For End Users (Claude AI)**
|
||||
- **Register CLI Agents**: `hive_register_cli_agent` with full configuration
|
||||
- **Quick Setup**: `hive_register_predefined_cli_agents` for instant deployment
|
||||
- **Monitor Mixed Agents**: `hive_get_agents` with visual type distinction
|
||||
- **Coordinate Workflows**: Mixed agent task distribution and execution
|
||||
- **Health Management**: CLI agent connectivity and performance monitoring
|
||||
|
||||
### **For Developers (Web Interface)**
|
||||
- **Mixed Agent Dashboard**: Clear visual distinction and management
|
||||
- **Dual Registration System**: Context-aware forms for each agent type
|
||||
- **Enhanced Monitoring**: Type-specific statistics and health indicators
|
||||
- **Responsive Design**: Works across all device sizes
|
||||
- **Error Handling**: Comprehensive feedback and troubleshooting
|
||||
|
||||
### **For Platform (Backend Services)**
|
||||
- **Hybrid Orchestration**: Route tasks to optimal agent type
|
||||
- **SSH Execution**: Reliable remote command execution with pooling
|
||||
- **Database Persistence**: Agent configuration and state management
|
||||
- **API Consistency**: Unified interface for all agent types
|
||||
- **Performance Monitoring**: Statistics collection across agent types
|
||||
|
||||
## 📊 **Success Metrics Achieved**
|
||||
|
||||
### **Functional Requirements**
|
||||
- ✅ **100% Backward Compatibility**: Existing Ollama agents unaffected
|
||||
- ✅ **Complete CLI Integration**: Gemini CLI fully operational
|
||||
- ✅ **Mixed Agent Coordination**: Seamless task routing between types
|
||||
- ✅ **Production Readiness**: Comprehensive error handling and logging
|
||||
- ✅ **Scalable Architecture**: Easy addition of new CLI agent types
|
||||
|
||||
### **Performance & Reliability**
|
||||
- ✅ **SSH Connection Pooling**: Efficient resource utilization
|
||||
- ✅ **Error Recovery**: Graceful handling of connectivity issues
|
||||
- ✅ **Health Monitoring**: Proactive agent status tracking
|
||||
- ✅ **Timeout Management**: Proper handling of long-running CLI operations
|
||||
- ✅ **Concurrent Execution**: Multiple CLI tasks with proper limits
|
||||
|
||||
### **User Experience**
|
||||
- ✅ **Visual Distinction**: Clear identification of agent types
|
||||
- ✅ **Streamlined Registration**: Context-aware forms and quick setup
|
||||
- ✅ **Comprehensive Monitoring**: Enhanced statistics and status indicators
|
||||
- ✅ **Intuitive Interface**: Consistent design patterns and interactions
|
||||
- ✅ **Responsive Design**: Works across all device platforms
|
||||
|
||||
## 🚀 **Deployment Ready**
|
||||
|
||||
### **Quick Start Commands**
|
||||
|
||||
#### **1. Register Predefined CLI Agents (via Claude)**
|
||||
```
|
||||
hive_register_predefined_cli_agents
|
||||
```
|
||||
|
||||
#### **2. View Mixed Agent Status**
|
||||
```
|
||||
hive_get_agents
|
||||
```
|
||||
|
||||
#### **3. Create Mixed Agent Workflow**
|
||||
```
|
||||
hive_coordinate_development {
|
||||
project_description: "Feature requiring both local and cloud AI",
|
||||
breakdown: [
|
||||
{ specialization: "pytorch_dev", task_description: "Local optimization" },
|
||||
{ specialization: "general_ai", task_description: "Advanced reasoning" }
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
#### **4. Start Frontend Dashboard**
|
||||
```bash
|
||||
cd /home/tony/AI/projects/hive/frontend
|
||||
npm run dev
|
||||
# Access at http://localhost:3000
|
||||
```
|
||||
|
||||
### **Production Architecture**
|
||||
- **Database**: PostgreSQL with CLI agent support schema
|
||||
- **Backend**: FastAPI with mixed agent routing
|
||||
- **Frontend**: React with dual registration system
|
||||
- **MCP Server**: TypeScript with CLI agent tools
|
||||
- **SSH Infrastructure**: Passwordless access to CLI hosts
|
||||
|
||||
## 🔮 **Future Enhancement Opportunities**
|
||||
|
||||
### **Immediate Extensions**
|
||||
- **Additional CLI Agents**: Anthropic Claude CLI, OpenAI CLI
|
||||
- **Auto-scaling**: Dynamic CLI agent provisioning based on load
|
||||
- **Enhanced Monitoring**: Real-time performance dashboards
|
||||
- **Workflow Templates**: Pre-built mixed agent workflows
|
||||
|
||||
### **Advanced Features**
|
||||
- **Multi-region CLI**: Deploy CLI agents across geographic regions
|
||||
- **Load Balancing**: Intelligent task distribution optimization
|
||||
- **Cost Analytics**: Track usage and costs across agent types
|
||||
- **Integration Hub**: Connect additional AI platforms and tools
|
||||
|
||||
## 🎉 **Project Completion Statement**
|
||||
|
||||
**The Hive platform now successfully orchestrates hybrid AI environments, combining local Ollama efficiency with cloud-based Gemini intelligence.**
|
||||
|
||||
✅ **5 Phases Complete**
|
||||
✅ **7 Agents Ready (5 Ollama + 2 CLI)**
|
||||
✅ **Full Stack Implementation**
|
||||
✅ **Production Ready**
|
||||
✅ **Claude Integration**
|
||||
|
||||
The CCLI integration project has achieved all objectives, delivering a robust, scalable, and user-friendly hybrid AI orchestration platform.
|
||||
|
||||
---
|
||||
|
||||
**Project Status**: **COMPLETE** ✅
|
||||
**Next Steps**: Deploy and begin hybrid AI coordination workflows
|
||||
**Contact**: Ready for immediate production use
|
||||
|
||||
*The future of distributed AI development is hybrid, and the Hive platform is ready to orchestrate it.*
|
||||
Reference in New Issue
Block a user