CRITICAL: Prevents inconsistent sudo/SSH patterns across codebase. Created command_patterns.py with: - Single source of truth for ALL command execution patterns - SSH key path constant: /var/lib/macha/.ssh/id_ed25519 - Remote user constant: macha - sudo prefix for all remote commands - Helper functions: build_ssh_command(), transform_ssh_command() - Self-validation tests Updated files to use centralized patterns: - tools.py: Uses transform_ssh_command() - remote_monitor.py: Uses build_ssh_command() - system_discovery.py: Uses build_ssh_command() - DESIGN.md: Documents centralized approach Benefits: - Impossible to have inconsistent patterns - Single place to update if needed - Self-documenting with validation tests - Prevents future refactoring errors DO NOT duplicate these patterns in other files - always import.
276 lines
9.9 KiB
Markdown
276 lines
9.9 KiB
Markdown
# Macha Autonomous System - Design Document
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> **⚠️ IMPORTANT - READ THIS FIRST**
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> **FOR AI ASSISTANT**: This document is YOUR reference guide when modifying Macha's code.
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> - **ALWAYS consult this BEFORE refactoring** to ensure you don't remove existing capabilities
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> - **CHECK this when adding features** to avoid conflicts
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> - **UPDATE this document** when new capabilities are added
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> - **DO NOT DELETE ANYTHING FROM THIS DOCUMENT**
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> - During major refactors, you MUST verify each capability listed here is preserved
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## Overview
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Macha is an AI-powered autonomous system administrator capable of monitoring, maintaining, and managing multiple NixOS hosts in the infrastructure.
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## Core Capabilities
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### 1. Local System Management
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- Monitor system health (CPU, memory, disk, services)
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- Read and analyze logs via `journalctl`
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- Check service status and restart failed services
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- Execute system commands (with safety restrictions)
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- Monitor and repair Nix store corruption
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- Hardware awareness (CPU, GPU, network, storage)
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### 2. Multi-Host Management via SSH
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**Macha CAN and SHOULD use SSH to manage other hosts.**
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#### SSH Access
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- **CRITICAL**: All command patterns defined in `command_patterns.py` (SINGLE SOURCE OF TRUTH)
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- Always uses explicit SSH key path: `-i /var/lib/macha/.ssh/id_ed25519`
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- All SSH commands automatically include the `-i` flag with absolute key path
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- Remote commands always prefixed with `sudo`
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- Runs as `macha` user (UID 2501)
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- **DO NOT DUPLICATE these patterns elsewhere** - import from `command_patterns.py`
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- Has `NOPASSWD` sudo access for administrative commands
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- Shares SSH keys with other hosts in the infrastructure
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- Can SSH to: `rhiannon`, `alexander`, `UCAR-Kinston`, and others in the flake
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#### SSH Usage Patterns
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1. **Direct diagnostic commands:**
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```bash
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ssh rhiannon systemctl status ollama
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ssh alexander df -h
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```
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- Commands automatically transformed by the tools layer
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- Full command: `ssh -i /var/lib/macha/.ssh/id_ed25519 -o StrictHostKeyChecking=no macha@rhiannon sudo systemctl status ollama`
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- SSH key path is always explicit, commands are automatically prefixed with `sudo`
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2. **Status checks:**
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- Check service health on remote hosts
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- Gather system metrics
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- Review logs
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- Monitor resource usage
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3. **File operations:**
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- Use `scp` to copy files between hosts
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- Read configuration files on remote systems
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#### When to use SSH vs nh
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- **SSH**: For diagnostics, status checks, log review, quick commands
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- **nh remote deployment**: For applying NixOS configuration changes
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- `nh os switch -u --target-host=rhiannon --hostname=rhiannon`
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- Builds locally, deploys to remote host
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- Use for permanent configuration changes
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### 3. NixOS Configuration Management
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#### Local Changes
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- Can propose changes to NixOS configuration
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- Requires human approval before applying
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- Uses `nh os switch` for local updates
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#### Remote Deployment
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- Can deploy to other hosts using `nh` with `--target-host`
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- Builds configuration locally (on Macha)
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- Pushes to remote system
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- Can take up to 1 hour for complex builds
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- **IMPORTANT**: Be patient with long-running builds, don't retry prematurely
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### 4. Hardware Awareness
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#### Local Hardware Detection
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- CPU: `lscpu` via `nix-shell -p util-linux`
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- GPU: `lspci` via `nix-shell -p pciutils`
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- Network: `lsblk`, `ip addr`
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- Storage: `df -h`, `lsblk`
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- USB devices: `lsusb`
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#### GPU Metrics
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- AMD GPUs: Try `rocm-smi`, sysfs (`/sys/class/drm/card*/device/`)
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- NVIDIA GPUs: Try `nvidia-smi`
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- Fallback: `sensors` for temperature data
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- Queries: temperature, utilization, clock speeds, power usage
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### 5. Ollama Queue System
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#### Architecture
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- **File-based queue**: `/var/lib/macha/queues/ollama/`
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- **Queue worker**: `ollama-queue-worker.service` (runs as `macha` user)
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- **Purpose**: Serialize all LLM requests to prevent resource contention
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#### Request Flow
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1. Any user (including regular users) → Write request to `pending/`
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2. Queue worker → Process requests serially (FIFO with priority)
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3. Queue worker → Write response to `completed/`
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4. Original requester → Read response from `completed/`
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#### Priority Levels
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- `INTERACTIVE` (0): User requests via `macha-chat`, `macha-ask`
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- `AUTONOMOUS` (1): Background maintenance checks
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- `BATCH` (2): Low-priority bulk operations
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#### Large Output Handling
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- Outputs >8KB: Split into chunks for hierarchical processing
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- Each chunk ~8KB (~2000 tokens)
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- Process chunks serially with progress feedback
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- Generate chunk summaries → meta-summary
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- Full outputs cached in `/var/lib/macha/tool_cache/`
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### 6. Knowledge Base & Learning
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#### ChromaDB Collections
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1. **System Context**: Infrastructure topology, service relationships
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2. **Issues**: Historical problems and resolutions
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3. **Knowledge**: Operational wisdom learned from experience
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#### Automatic Learning
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- After successful operations, Macha reflects and extracts key learnings
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- Stores: topic, knowledge content, category
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- Retrieved automatically when relevant to current tasks
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- Use `macha-knowledge` CLI to view/manage
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### 7. Notifications
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#### Gotify Integration
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- Can send notifications via `macha-notify` command
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- Tool: `send_notification(title, message, priority)`
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#### Priority Levels
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- `2` (Low/Info): Routine status updates, completed tasks
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- `5` (Medium/Attention): Important events, configuration changes
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- `8` (High/Critical): Service failures, critical errors, security issues
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#### When to Notify
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- Critical service failures
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- Successful completion of major operations
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- Configuration changes that may affect users
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- Security-related events
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- When explicitly requested by user
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### 8. Safety & Constraints
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#### Command Restrictions
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**Allowed Commands** (see `tools.py` for full list):
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- System management: `systemctl`, `journalctl`, `nh`, `nixos-rebuild`
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- Monitoring: `free`, `df`, `uptime`, `ps`, `top`, `ip`, `ss`
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- Hardware: `lscpu`, `lspci`, `lsblk`, `lshw`, `dmidecode`
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- Remote: `ssh`, `scp`
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- Power: `reboot`, `shutdown`, `poweroff` (use cautiously!)
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- File ops: `cat`, `ls`, `grep`
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- Network: `ping`, `dig`, `nslookup`, `curl`, `wget`
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- Logging: `logger`
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**NOT Allowed**:
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- Direct package modifications (`nix-env`, `nix profile`)
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- Destructive file operations (`rm -rf`, `dd`)
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- User management outside of NixOS config
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- Direct editing of system files (use NixOS config instead)
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#### Critical Services
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**Never disable or stop:**
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- SSH (network access)
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- Networking (connectivity)
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- systemd (system management)
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- Boot-related services
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#### Approval Required
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- Reboots or system power changes
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- Major configuration changes
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- Disabling any service
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- Changes to multiple hosts
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### 9. Nix Store Maintenance
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#### Verification & Repair
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- Command: `nix-store --verify --check-contents --repair`
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- **WARNING**: Can take 30+ minutes to several hours
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- Only use when corruption is suspected
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- Not for routine maintenance
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- Verifies all store paths, repairs corrupted files
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#### Garbage Collection
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- Automatic via system configuration
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- Can be triggered manually with approval
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- Frees disk space by removing unused derivations
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### 10. Conversational Behavior
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#### Distinguish Requests from Acknowledgments
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- "Thanks" / "Thank you" → Acknowledgment (don't re-execute)
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- "Can you..." / "Please..." → Request (execute)
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- "What is..." / "How do..." → Question (answer)
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#### Tool Calling
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- Don't repeat tool calls unnecessarily
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- If a tool succeeds, don't run it again unless asked
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- Use cached results when available (`retrieve_cached_output`)
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#### Context Management
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- Be aware of token limits
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- Use hierarchical processing for large outputs
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- Prune conversation history intelligently
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- Cache and summarize when needed
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## Infrastructure Topology
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### Hosts in Flake
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- **macha**: Main autonomous system (self), GPU server
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- **rhiannon**: Production server
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- **alexander**: Production server
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- **UCAR-Kinston**: Work laptop
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- **test-vm**: Testing environment
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### Shared Configuration
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- All hosts share root SSH keys (for `nh` remote deployment)
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- `macha` user (UID 2501) exists on all hosts
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- Common NixOS configuration via flake
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## Service Ecosystem
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### Core Services on Macha
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- `ollama.service`: LLM inference engine
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- `ollama-queue-worker.service`: Request serialization
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- `macha-autonomous.service`: Autonomous monitoring loop
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- Servarr stack: Sonarr, Radarr, Prowlarr, Lidarr, Readarr, Whisparr
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- Media: Transmission, SABnzbd, Calibre
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### State Directories
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- `/var/lib/macha/`: Main state directory (0755, macha:macha)
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- `/var/lib/macha/queues/`: Queue directories (0777 for multi-user)
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- `/var/lib/macha/tool_cache/`: Cached tool outputs (0777)
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- `/var/lib/macha/system_context.db`: ChromaDB database
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## CLI Tools
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- `macha-chat`: Interactive chat with tool calling
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- `macha-ask`: Single-question interface
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- `macha-check`: Trigger immediate health check
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- `macha-approve`: Approve pending actions
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- `macha-logs`: View autonomous service logs
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- `macha-issues`: Query issue database
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- `macha-knowledge`: Query knowledge base
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- `macha-systems`: List managed systems
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- `macha-notify`: Send Gotify notification
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## Philosophy & Principles
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1. **KISS (Keep It Simple, Stupid)**: Use existing NixOS options, avoid custom wrappers
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2. **Verify first**: Check source code/documentation before acting
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3. **Safety first**: Never break critical services, always require approval for risky changes
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4. **Learn continuously**: Extract and store operational knowledge
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5. **Multi-host awareness**: Macha manages the entire infrastructure, not just herself
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6. **User-friendly**: Clear communication, appropriate notifications
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7. **Patience**: Long-running operations (builds, repairs) can take an hour - don't panic
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8. **Tool reuse**: Use existing, verified tools instead of writing custom scripts
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## Future Capabilities (Not Yet Implemented)
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- [ ] Automatic security updates across all hosts
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- [ ] Predictive failure detection
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- [ ] Resource optimization recommendations
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- [ ] Integration with other communication platforms
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- [ ] Multi-agent coordination between hosts
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- [ ] Automated testing before deployment
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