2f8e471e03
- Created sync-node2-dagi-agents.py script to sync agents from agents_city_mapping.yaml - Synced 50 DAGI agents across 10 districts: - Leadership Hall (4): Solarius, Sofia, PrimeSynth, Nexor - System Control (6): Monitor, Strategic Sentinels, Vindex, Helix, Aurora, Arbitron - Engineering Lab (5): ByteForge, Vector, ChainWeaver, Cypher, Canvas - Marketing Hub (6): Roxy, Mira, Tempo, Harmony, Faye, Storytelling - Finance Office (4): Financial Analyst, Accountant, Budget Planner, Tax Advisor - Web3 District (5): Smart Contract Dev, DeFi Analyst, Tokenomics Expert, NFT Specialist, DAO Governance - Security Bunker (7): Shadelock, Exor, Penetration Tester, Security Monitor, Incident Responder, Shadelock Forensics, Exor Forensics - Vision Studio (4): Iris, Lumen, Spectra, Video Analyzer - R&D Lab (6): ProtoMind, LabForge, TestPilot, ModelScout, BreakPoint, GrowCell - Memory Vault (3): Somnia, Memory Manager, Knowledge Indexer - Fixed Swapper config to use swapper_config_node2.yaml with 8 models - Created TASK_PHASE_NODE2_FULL_DAGI_INTEGRATION_v1.md NODE2 now shows: - 50 agents in DAGI Router Card - 8 models in Swapper Service (gpt-oss, phi3, starcoder2, mistral-nemo, gemma2, deepseek-coder, qwen2.5-coder, deepseek-r1) - Full isolation from NODE1
91 lines
3.0 KiB
YAML
91 lines
3.0 KiB
YAML
# Swapper Configuration for Node #2 (Development Node)
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# Single-active LLM scheduler
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# MacBook Pro M4 Max - Apple Silicon (40-core GPU, 64GB RAM)
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# Auto-generated configuration with available Ollama models
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swapper:
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mode: single-active
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max_concurrent_models: 1
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model_swap_timeout: 300
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gpu_enabled: true
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metal_acceleration: true # Apple Silicon GPU acceleration
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# Модель для автоматичного завантаження при старті (опціонально)
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# Якщо не вказано - моделі завантажуються тільки за запитом
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# Рекомендовано: gpt-oss:latest (швидка модель) або phi3:latest (легка модель)
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default_model: gpt-oss:latest # Модель активується автоматично при старті
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models:
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# Fast LLM - GPT-OSS 20B (High Priority) - Main model for general tasks
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gpt-oss-latest:
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path: ollama:gpt-oss:latest
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type: llm
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size_gb: 13.0
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priority: high
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description: "Fast LLM for general tasks and conversations (20.9B params)"
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# Lightweight LLM - Phi3 3.8B (High Priority) - Fast responses
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phi3-latest:
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path: ollama:phi3:latest
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type: llm
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size_gb: 2.2
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priority: high
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description: "Lightweight LLM for fast responses (3.8B params)"
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# Code Specialist - StarCoder2 3B (Medium Priority) - Code engineering
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starcoder2-3b:
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path: ollama:starcoder2:3b
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type: code
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size_gb: 1.7
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priority: medium
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description: "Code specialist model for code engineering (3B params)"
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# Reasoning Model - Mistral Nemo 12.2B (High Priority) - Advanced reasoning
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mistral-nemo-12b:
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path: ollama:mistral-nemo:12b
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type: llm
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size_gb: 7.1
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priority: high
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description: "Advanced reasoning model for complex tasks (12.2B params)"
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# Reasoning Model - Gemma2 27B (Medium Priority) - Strategic reasoning
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gemma2-27b:
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path: ollama:gemma2:27b
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type: llm
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size_gb: 15.0
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priority: medium
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description: "Reasoning model for strategic tasks (27.2B params)"
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# Code Specialist - DeepSeek Coder 33B (High Priority) - Advanced code tasks
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deepseek-coder-33b:
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path: ollama:deepseek-coder:33b
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type: code
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size_gb: 18.0
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priority: high
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description: "Advanced code specialist model (33B params)"
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# Code Specialist - Qwen2.5 Coder 32B (High Priority) - Advanced code tasks
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qwen2.5-coder-32b:
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path: ollama:qwen2.5-coder:32b
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type: code
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size_gb: 19.0
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priority: high
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description: "Advanced code specialist model (32.8B params)"
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# Reasoning Model - DeepSeek R1 70B (High Priority) - Strategic reasoning (large model)
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deepseek-r1-70b:
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path: ollama:deepseek-r1:70b
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type: llm
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size_gb: 42.0
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priority: high
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description: "Strategic reasoning model (70.6B params, quantized)"
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storage:
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models_dir: /app/models
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cache_dir: /app/cache
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swap_dir: /app/swap
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ollama:
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url: http://localhost:11434 # Native Ollama on MacBook (via Pieces OS or brew)
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timeout: 300
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