UnraidMonitor

A Telegram bot for monitoring Docker containers and Unraid servers. Get real-time alerts, check container status, view logs, and control containers - all from Telegram.

Features

• Interactive Setup Wizard - Guided first-run setup via Telegram with auto-classification of containers
• Container Monitoring - Status, health checks, crash detection, and recovery notifications
• Resource Alerts - CPU/memory usage with per-container thresholds, adjustable directly from alert buttons
• Log Watching - Automatic alerts when errors appear in container logs
• AI Diagnostics - LLM-powered log analysis and troubleshooting (Anthropic, OpenAI, or Ollama)
• Smart Ignore Patterns - AI-generated patterns to filter known errors, with interactive toggle selection
• Multi-Provider LLM - Switch between Anthropic Claude, OpenAI GPT, or local Ollama models at runtime
• Container Control - Start, stop, restart, and pull containers with inline confirmation buttons
• Image-Update Detection - Opt-in daily digest of containers with newer images available, with Pull buttons
• Auto-Heal - Opt-in automatic restart of unhealthy containers (HEALTHCHECK failures) with storm guard
• Unraid Server Monitoring - CPU/memory, temperatures, UPS status, and array health
• Memory Pressure Management - Automatic container priority handling during high memory
• Mute System - Temporarily silence alerts per container, server, or array
• Natural Language Chat - Ask questions naturally instead of using commands
• Interactive Dashboard - /manage hub for status, resources, server, disks, ignores, mutes, and a Features panel to toggle optional monitors
• Sectioned Help - /help with navigable category buttons instead of a text wall

What's New in v0.15.0

• Toggle optional features from Telegram - /manage → ⚙️ Features enables image-update detection and picks auto-heal containers without editing config.yaml
• Alert-context-aware diagnostics - /diagnose now knows which alert fired (crash / errors / restart-loop / high-usage) and gathers full container state, for far more accurate root-cause analysis
• Properly formatted AI replies - Bold, italics, headings, and code blocks now render correctly in Telegram instead of showing literal * characters
• Friendlier natural-language chat - Plays along with creative on-topic requests ("status as a captain's log", "roast my containers") while staying grounded in real stats
• Reliability & security hardening - Auto-heal retries persist correctly, image-update alerts no longer repeat after a restart, and API error bodies are redacted in all paths (full June 6 audit remediation)

See the changelog for full details.

---

Table of Contents

• Installation
  • Unraid Community Apps
  • Docker on Unraid (Manual)
  • Docker on Other Systems
• Prerequisites
• Configuration
• Commands
• Alert Examples
• User Guide
• Troubleshooting

---

Installation

Unraid Community Apps (Recommended)

The easiest way to install on Unraid.

1. Install from Community Apps

   • Open the Unraid web UI
   • Go to Apps tab
   • Search for "Unraid Monitor Bot"
   • Click Install

2. Configure the template

   • TELEGRAM_BOT_TOKEN - Your bot token (how to get one)
   • TELEGRAM_ALLOWED_USERS - Your Telegram user ID (how to find it)
   • ANTHROPIC_API_KEY (optional) - Enables AI features via Claude
   • OPENAI_API_KEY (optional) - Enables AI features via OpenAI
   • OLLAMA_HOST (optional) - Enables AI features via local Ollama (e.g., http://192.168.1.100:11434)
   • DEFAULT_MODEL (optional) - Override the default AI model (e.g., qwen2.5:7b, gpt-4o)
   • UNRAID_API_KEY (optional) - Enables server monitoring

3. Start the container

4. Message your bot on Telegram - send /start to begin the setup wizard

   • The wizard will guide you through connecting to your Unraid server
   • It auto-classifies your containers into categories (priority, protected, watched, killable, ignored)
   • When an Anthropic API key is configured, AI assists with classifying unknown containers
   • Review and adjust the categories, then confirm to save
   • The bot restarts automatically and begins monitoring

5. Re-configure anytime (optional)

   • Send /setup to re-run the wizard (merges non-destructively with existing config)
   • Or edit /mnt/user/appdata/unraid-monitor/config/config.yaml directly and restart

---

Docker on Unraid (Manual)

If not using Community Apps, you can set it up manually.

Step 1: Create directories

mkdir -p /mnt/user/appdata/unraid-monitor/{config,data}

Step 2: Create the environment file

Create /mnt/user/appdata/unraid-monitor/config/.env:

# Required
TELEGRAM_BOT_TOKEN=your_bot_token_here
TELEGRAM_ALLOWED_USERS=123456789

# Optional - AI features (configure at least one for /diagnose, NL chat, smart ignore)
ANTHROPIC_API_KEY=your_anthropic_api_key_here
OPENAI_API_KEY=your_openai_api_key_here
OLLAMA_HOST=http://localhost:11434

# Optional - override the default AI model (e.g. qwen2.5:7b, gpt-4o)
DEFAULT_MODEL=

# Optional - enables Unraid server monitoring
UNRAID_API_KEY=your_unraid_api_key_here

Step 3: Add the container in Unraid

Go to Docker → Add Container and configure:

Field	Value
Name	unraid-monitor-bot
Repository	dervish/unraidmonitorbot:latest
Network Type	bridge or your preferred network

Add these paths:

Container Path	Host Path	Access
/app/config	/mnt/user/appdata/unraid-monitor/config	Read/Write
/app/data	/mnt/user/appdata/unraid-monitor/data	Read/Write
/var/run/docker.sock	/var/run/docker.sock	Read Only

Add these variables:

Name	Value
TELEGRAM_BOT_TOKEN	Your bot token
TELEGRAM_ALLOWED_USERS	Your user ID
ANTHROPIC_API_KEY	(optional) Claude AI features
OPENAI_API_KEY	(optional) OpenAI AI features
OLLAMA_HOST	(optional) Ollama URL, e.g., http://192.168.1.100:11434
DEFAULT_MODEL	(optional) Override default model, e.g., qwen2.5:7b
UNRAID_API_KEY	(optional) Unraid server monitoring
PUID	(optional) Runtime user ID for file ownership (default: 99 — Unraid's nobody)
PGID	(optional) Runtime group ID for file ownership (default: 100 — Unraid's users)
TZ	Your timezone (e.g., Europe/London)

Step 4: Start and verify

Start the container and check the logs for any errors. Message your bot on Telegram with /start to begin the interactive setup wizard.

---

Docker on Other Systems

For non-Unraid Docker hosts (Ubuntu, Debian, Synology, etc.), use docker-compose:

1. Clone the repository and create your environment file:

   git clone https://github.com/dervish666/UnraidMonitor.git
   cd UnraidMonitor
   cp config/.env.example config/.env
   # Edit config/.env with your TELEGRAM_BOT_TOKEN, TELEGRAM_ALLOWED_USERS, etc.
   

2. Adjust docker-compose.yml volume paths to suit your system (the defaults point to Unraid appdata paths). For example:

   volumes:
     - /var/run/docker.sock:/var/run/docker.sock:ro
     - ./config:/app/config
     - ./data:/app/data
   

3. Check your Docker socket GID and set it if it differs from the default (281):

   ls -ln /var/run/docker.sock   # look at the 4th column
   echo "DOCKER_GID=999" >> .env  # adjust to match
   

4. Build and start:

   docker-compose up -d
   

5. Message your bot on Telegram with /start to begin the setup wizard.

---

Prerequisites

1. Create a Telegram Bot

1. Open Telegram and message @BotFather
2. Send /newbot
3. Follow the prompts to name your bot
4. Copy the bot token (looks like 123456789:ABCdefGHIjklMNOpqrsTUVwxyz)

2. Get Your Telegram User ID

1. Message @userinfobot on Telegram
2. It will reply with your numeric user ID (e.g., 123456789)

This ID is used to restrict who can control your bot. You can add multiple IDs separated by commas: 123456789,987654321

3. Configure an LLM Provider (Optional)

At least one provider is needed for AI-powered features (/diagnose, smart ignore patterns, natural language chat). You can configure multiple providers and switch between them at runtime with /model.

Option A: Anthropic Claude (recommended)

1. Sign up at console.anthropic.com
2. Go to API Keys and create a new key
3. Add it as ANTHROPIC_API_KEY

Option B: OpenAI

1. Sign up at platform.openai.com
2. Go to API Keys and create a new key
3. Add it as OPENAI_API_KEY

Option C: Ollama (free, runs locally)

1. Install Ollama from ollama.com
2. Pull a model: ollama pull llama3.1:8b
3. Set OLLAMA_HOST to your Ollama URL (e.g., http://192.168.1.100:11434)

Models are auto-discovered from Ollama at startup. Note: some local models don't support tool calling, so NL chat actions (restart, etc.) may be limited.

4. Get an Unraid API Key (Optional)

Required for Unraid server monitoring (CPU, memory, temps, array status).

1. In Unraid web UI, go to Settings → Management Access
2. Generate an API key
3. Add it as UNRAID_API_KEY

---

Configuration

Configuration is stored in config/config.yaml. On first run, the interactive setup wizard creates this file. You can also run /setup anytime to reconfigure.

Location:

• Unraid: /mnt/user/appdata/unraid-monitor/config/config.yaml
• Docker: ./config/config.yaml (relative to project root)

Essential Settings

# Containers to watch for log errors
log_watching:
  containers:
    - plex
    - radarr
    - sonarr
    - lidarr
  error_patterns:
    - "error"
    - "exception"
    - "fatal"
    - "failed"
    - "critical"
  ignore_patterns:
    - "DeprecationWarning"
    - "DEBUG"
  cooldown_seconds: 900  # 15 min between alerts for same container

# Containers to hide from status reports
ignored_containers:
  - some-temp-container

# Containers that cannot be controlled via Telegram (safety)
protected_containers:
  - unraid-monitor-bot
  - mariadb
  - postgresql14

Resource Monitoring

CPU is reported per-core on Linux, so multi-threaded apps can exceed 100% (e.g., 200% = 2 cores fully used). Set thresholds accordingly.

resource_monitoring:
  enabled: true
  poll_interval_seconds: 60
  sustained_threshold_seconds: 120  # Alert after 2 min exceeded

  defaults:
    cpu_percent: 80
    memory_percent: 85

  # Per-container overrides (also adjustable via Telegram)
  containers:
    plex:
      cpu_percent: 200   # Plex transcoding uses multiple cores
      memory_percent: 90
    handbrake:
      cpu_percent: 400   # Expected to max out all cores

Per-container thresholds can also be adjusted directly from Telegram: when a resource alert fires, tap ⚙️ Raise Limit to pick a new threshold. The change applies immediately and persists across restarts.

Memory Pressure Management

Automatically kills low-priority containers when system memory is critical.

memory_management:
  enabled: false  # Disabled by default - enable with caution
  warning_threshold: 90      # Notify at this %
  critical_threshold: 95     # Start killing at this %
  safe_threshold: 80         # Offer restart when below this
  kill_delay_seconds: 60     # Warning before killing
  stabilization_wait: 180    # Wait between kills

  # Never kill these (highest priority)
  priority_containers:
    - plex
    - mariadb

  # Kill these in order during memory pressure (lowest priority first)
  killable_containers:
    - handbrake
    - tdarr

Unraid Server Monitoring

unraid:
  enabled: true
  host: "192.168.1.100"  # Your Unraid IP
  port: 443
  use_ssl: true
  verify_ssl: false  # Set true if using valid SSL cert

  polling:
    system: 30   # CPU/memory poll interval
    array: 300   # Array status poll interval
    ups: 60      # UPS status poll interval

  thresholds:
    cpu_temp: 80         # Alert above this temp (C)
    cpu_usage: 95        # Alert above this %
    memory_usage: 90     # Alert above this %
    disk_temp: 50        # Alert above this temp (C)
    array_usage: 85      # Alert above this %
    ups_battery: 30      # Alert below this %

Image-Update Detection

Checks once per day (configurable) whether a newer image is available for watched containers. Sends a single batched digest message with Pull buttons. Disabled by default — opt in per-deployment.

image_updates:
  enabled: false             # Set true to enable daily image-update checks
  poll_interval_hours: 24    # How often to check (minimum 1)

Auto-Heal

Automatically restarts containers that report a Docker HEALTHCHECK unhealthy status. A per-container storm guard gives up after max_restarts within window_minutes and sends an escalation alert. Protected containers are never touched regardless of this setting.

auto_heal:
  enabled: true              # Master switch
  containers:                # List of container names to auto-heal (opt-in)
    - radarr
    - sonarr
  max_restarts: 3            # Give up after this many restarts in the window
  window_minutes: 60         # Rolling window for the restart count

---

Commands

Container Commands

Command	Description
/status	Overview of all containers
/status <name>	Details for a specific container
/resources	CPU/memory usage for all containers
/resources <name>	Detailed stats with thresholds
/logs <name> [n]	Last n log lines (default 20)
/diagnose <name>	AI log analysis with 📋 More Details button
/restart <name>	Restart with ✅ Confirm / ❌ Cancel buttons
/stop <name>	Stop with confirmation buttons
/start <name>	Start with confirmation buttons
/pull <name>	Pull latest image and recreate (with confirmation)

Tip: Partial names work — /status rad matches radarr

Unraid Server Commands

Command	Description
/server	Server overview (CPU, memory, temps)
/server detailed	Full metrics including per-core temps
/array	Array status and disk health
/disks	Detailed disk information

Alert Management

Command	Description
/mute <name> <duration>	Mute container (e.g., /mute plex 2h)
/unmute <name>	Unmute a container
/mute-server <duration>	Mute server alerts
/unmute-server	Unmute server alerts
/mute-array <duration>	Mute array alerts
/unmute-array	Unmute array alerts
/mutes	Show all active mutes
/ignore	Select errors to ignore with ☐/☑ toggle buttons
/ignores	List all ignore patterns
/cancel-kill	Cancel pending memory pressure kill

Duration formats: 30m, 2h, 1d, 1w

Setup & Management

Command	Description
/setup	Re-run the setup wizard (merges with existing config)
/cancel	Exit the setup wizard mid-flow
/manage	Interactive dashboard — status, resources, server, disks, ignores, mutes, features
/health	Bot version, uptime, and monitor status
/model	Switch the global LLM provider and model at runtime
/model <feature> <model>	Per-feature model override (chat, diagnose, analyze); default resets to global
/help	Browse commands by category with navigation buttons

Natural Language Chat

Instead of commands, you can ask questions naturally:

• "What's wrong with plex?"
• "Why is my server slow?"
• "Is anything crashing?"
• "Show me radarr logs"
• "Restart sonarr" (shows confirmation buttons)

Follow-up questions work too — say "restart it" after discussing a container.

Note: Requires at least one LLM provider to be configured (ANTHROPIC_API_KEY, OPENAI_API_KEY, or OLLAMA_HOST). Use /model to switch providers.

---

Alert Examples

All alerts include tappable inline buttons for quick actions — no need to type commands.

Crash Alert

🔴 CONTAINER CRASHED: radarr

Exit code: 137 (OOM killed)
Image: linuxserver/radarr:latest
Uptime: 2h 34m

[🔄 Restart] [📋 Logs] [🔍 Diagnose]
[🔕 Mute 1h] [🔕 Mute 24h]

Recovery Alert

Sent automatically when a previously crashed container starts successfully:

✅ radarr recovered and is running again.

Recovery alerts include a 5-minute cooldown to prevent spam if a container is flapping.

Restart Loop Alert

🔄🔴 RESTART LOOP: radarr

Crashed 5 times in the last 10 minutes!
Exit code: 137 (OOM killed)
Image: linuxserver/radarr:latest

[🔄 Restart] [📋 Logs] [🔍 Diagnose]
[🔕 Mute 1h] [🔕 Mute 24h]

Resource Alert

⚠️ HIGH MEMORY USAGE: plex

Memory: 92% (threshold: 85%)
        7.4GB / 8.0GB limit
Exceeded for: 3 minutes

CPU: 45% (normal)

[📋 Logs] [🔍 Diagnose]
[🔕 Mute 1h] [🔕 Mute 24h]
[⚙️ Raise MEMORY Limit]

Tapping ⚙️ Raise Limit shows threshold options (e.g., 90%, 95%, 99% for memory, or 120%, 200%, 400% for CPU). The new threshold applies immediately.

Log Error Alert

⚠️ ERRORS IN: sonarr

Found 3 errors in the last 15 minutes

Latest: Database connection failed: timeout

[🔇 Ignore Similar] [🔕 Mute 1h]
[📋 Logs] [🔍 Diagnose]

---

User Guide

For a detailed walkthrough of all features, see the User Guide.

It covers:

• First-run setup and the interactive wizard
• Understanding each alert type and what to do
• Container management workflows (diagnose, restart, logs)
• Using the /manage dashboard
• Muting alerts and creating ignore patterns
• AI features and switching LLM providers
• Tips and best practices

---

Troubleshooting

Bot not responding

1. Check the container is running: docker ps | grep unraid-monitor
2. Check logs for errors: docker logs unraid-monitor-bot
3. Verify TELEGRAM_BOT_TOKEN is correct
4. Verify your user ID is in TELEGRAM_ALLOWED_USERS

"Permission denied" errors

This means the container can't access the Docker socket.

1. Check your Docker socket GID:

   ls -ln /var/run/docker.sock
   

   Look at the 4th column (e.g., 281 on Unraid, 999 on Ubuntu)

2. If using docker-compose, set DOCKER_GID in .env:

   echo "DOCKER_GID=999" > .env
   

3. Rebuild the container:

   docker-compose build --no-cache
   docker-compose up -d
   

4. Last resort: Add user: root to the service in docker-compose.yml to bypass permission issues (not recommended for production)

AI features not working

• Verify at least one LLM key is set: ANTHROPIC_API_KEY, OPENAI_API_KEY, or OLLAMA_HOST
• Check logs for API errors
• Use /model to see which providers are configured and switch between them
• If using Ollama, ensure the server is reachable and has models pulled
• The bot works without AI — you'll get basic alerts, but /diagnose and natural language chat won't work

Unraid monitoring not working

• Verify UNRAID_API_KEY is set
• Check the unraid section in config.yaml has correct host and port
• If using self-signed certs, set verify_ssl: false

Container not starting

Check logs immediately after start:

docker logs unraid-monitor-bot

Common issues:

• Missing TELEGRAM_BOT_TOKEN or TELEGRAM_ALLOWED_USERS
• Invalid configuration in config.yaml
• Docker socket permission issues (see above)

Changes to config.yaml not applying

Restart the container after editing config:

docker restart unraid-monitor-bot

---

Data Storage

All persistent data is stored in mounted volumes:

config/
├── config.yaml           # Main configuration
└── .env                  # Environment variables (secrets)

data/
├── ignored_errors.json     # Ignore patterns
├── mutes.json              # Container mutes
├── server_mutes.json       # Server mutes
├── array_mutes.json        # Array mutes
├── model_selection.json    # Active LLM provider/model choice
├── chat_ids.json           # Persistent Telegram chat IDs for alert delivery across restarts
├── announced_version.json  # Last-announced version (gates the startup "What's new" message)
└── announced_updates.json  # Image-update dedup map (stops restarts re-announcing the same update)

---

Requirements

• Docker
• Telegram Bot Token
• (Optional) LLM provider for AI features: Anthropic API key, OpenAI API key, or Ollama instance
• (Optional) Unraid API key for server monitoring

---

License

MIT