Initial commit: Complete Hive distributed AI orchestration platform
This comprehensive implementation includes: - FastAPI backend with MCP server integration - React/TypeScript frontend with Vite - PostgreSQL database with Redis caching - Grafana/Prometheus monitoring stack - Docker Compose orchestration - Full MCP protocol support for Claude Code integration Features: - Agent discovery and management across network - Visual workflow editor and execution engine - Real-time task coordination and monitoring - Multi-model support with specialized agents - Distributed development task allocation 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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16
config/monitoring/grafana.yml
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config/monitoring/grafana.yml
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dashboards:
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agent_performance:
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panels:
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- Tokens per Second
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- GPU Utilization
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- Memory Usage
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- Active Tasks
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title: Agent Performance Details
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hive_overview:
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panels:
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- Agent Status
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- Task Queue Length
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- Execution Success Rate
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- Response Times
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- Resource Utilization
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title: Hive Cluster Overview
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config/monitoring/prometheus.yml
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config/monitoring/prometheus.yml
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global:
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evaluation_interval: 30s
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scrape_interval: 30s
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rule_files:
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- hive_alerts.yml
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scrape_configs:
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- job_name: hive-backend
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metrics_path: /api/metrics
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static_configs:
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- targets:
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- hive-coordinator:8000
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- job_name: hive-agents
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static_configs:
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- targets:
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- 192.168.1.72:11434
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- targets:
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- 192.168.1.27:11434
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- targets:
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- 192.168.1.113:11434
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