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.
- 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
- 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 -
/managehub for status, resources, ignores, and mutes - Sectioned Help -
/helpwith navigable category buttons instead of a text wall
- Server alert action buttons (v0.10.0) - CPU temperature and usage alerts now include Mute and Adjust Threshold buttons, matching the UX of container and array alerts
- Model family system (v0.10.0) - Use family names like
sonnet,haiku,opusinstead of dated model IDs; per-feature model switching with/model chat sonnet,/model diagnose haiku - Dynamic provider resolution (v0.10.1-0.10.3) -
/modelchanges take effect immediately, config persistence fixes, and tool-call translation fixes for Anthropic API - Security hardening (v0.11.0) - Prompt injection defense for LLM inputs, SSRF protection in setup wizard, race condition fixes in memory monitor, crash tracker memory leak fix, and tighter file permissions
See the changelog for full details.
The easiest way to install on Unraid.
-
Install from Community Apps
- Open the Unraid web UI
- Go to Apps tab
- Search for "Unraid Monitor Bot"
- Click Install
-
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 ClaudeOPENAI_API_KEY(optional) - Enables AI features via OpenAIOLLAMA_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
-
Start the container
-
Message your bot on Telegram - send
/startto 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
-
Re-configure anytime (optional)
- Send
/setupto re-run the wizard (merges non-destructively with existing config) - Or edit
/mnt/user/appdata/unraid-monitor/config/config.yamldirectly and restart
- Send
If not using Community Apps, you can set it up manually.
mkdir -p /mnt/user/appdata/unraid-monitor/{config,data}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_hereGo to Docker β 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 β Unraid's nobody) |
PGID |
(optional) Runtime group ID for file ownership (default: 100 β Unraid's users) |
TZ |
Your timezone (e.g., Europe/London) |
Start the container and check the logs for any errors. Message your bot on Telegram with /start to begin the interactive setup wizard.
For non-Unraid Docker hosts (Ubuntu, Debian, Synology, etc.), use docker-compose:
-
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.
-
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
-
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
-
Build and start:
docker-compose up -d
-
Message your bot on Telegram with
/startto begin the setup wizard.
- Open Telegram and message @BotFather
- Send
/newbot - Follow the prompts to name your bot
- Copy the bot token (looks like
123456789:ABCdefGHIjklMNOpqrsTUVwxyz)
- Message @userinfobot on Telegram
- 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
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)
- Sign up at console.anthropic.com
- Go to API Keys and create a new key
- Add it as
ANTHROPIC_API_KEY
Option B: OpenAI
- Sign up at platform.openai.com
- Go to API Keys and create a new key
- Add it as
OPENAI_API_KEY
Option C: Ollama (free, runs locally)
- Install Ollama from ollama.com
- Pull a model:
ollama pull llama3.1:8b - Set
OLLAMA_HOSTto 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.
Required for Unraid server monitoring (CPU, memory, temps, array status).
- In Unraid web UI, go to Settings β Management Access
- Generate an API key
- Add it as
UNRAID_API_KEY
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)
# 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
- postgresql14CPU 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 coresPer-container thresholds can also be adjusted directly from Telegram: when a resource alert fires, tap βοΈ Raise Limit to pick a new threshold. The change applies immediately and persists across restarts.
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
- tdarrunraid:
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 %| 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 π More Details button |
/restart <name> |
Restart with β Confirm / β 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 β /status rad matches radarr
| 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 |
| 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 β/β toggle buttons |
/ignores |
List all ignore patterns |
/cancel-kill |
Cancel pending memory pressure kill |
Duration formats: 30m, 2h, 1d, 1w
| Command | Description |
|---|---|
/setup |
Re-run the setup wizard (merges with existing config) |
/cancel |
Exit the setup wizard mid-flow |
/manage |
Interactive dashboard β status, resources, ignores, mutes |
/health |
Bot version, uptime, and monitor status |
/model |
Switch LLM provider and model at runtime |
/help |
Browse commands by category with navigation buttons |
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 β 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.
All alerts include tappable inline buttons for quick actions β no need to type commands.
π΄ CONTAINER CRASHED: radarr
Exit code: 137 (OOM killed)
Image: linuxserver/radarr:latest
Uptime: 2h 34m
[π Restart] [π Logs] [π Diagnose]
[π Mute 1h] [π Mute 24h]
Sent automatically when a previously crashed container starts successfully:
β
radarr recovered and is running again.
Recovery alerts include a 5-minute cooldown to prevent spam if a container is flapping.
ππ΄ RESTART LOOP: radarr
Crashed 5 times in the last 10 minutes!
Exit code: 137 (OOM killed)
Image: linuxserver/radarr:latest
[π Restart] [π Logs] [π Diagnose]
[π Mute 1h] [π Mute 24h]
β οΈ HIGH MEMORY USAGE: plex
Memory: 92% (threshold: 85%)
7.4GB / 8.0GB limit
Exceeded for: 3 minutes
CPU: 45% (normal)
[π Logs] [π Diagnose]
[π Mute 1h] [π Mute 24h]
[βοΈ Raise MEMORY Limit]
Tapping βοΈ Raise Limit shows threshold options (e.g., 90%, 95%, 99% for memory, or 120%, 200%, 400% for CPU). The new threshold applies immediately.
β οΈ ERRORS IN: sonarr
Found 3 errors in the last 15 minutes
Latest: Database connection failed: timeout
[π Ignore Similar] [π Mute 1h]
[π Logs] [π Diagnose]
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
/managedashboard - Muting alerts and creating ignore patterns
- AI features and switching LLM providers
- Tips and best practices
- Check the container is running:
docker ps | grep unraid-monitor - Check logs for errors:
docker logs unraid-monitor-bot - Verify
TELEGRAM_BOT_TOKENis correct - Verify your user ID is in
TELEGRAM_ALLOWED_USERS
This means the container can't access the Docker socket.
-
Check your Docker socket GID:
ls -ln /var/run/docker.sock
Look at the 4th column (e.g.,
281on Unraid,999on Ubuntu) -
If using docker-compose, set DOCKER_GID in
.env:echo "DOCKER_GID=999" > .env
-
Rebuild the container:
docker-compose build --no-cache docker-compose up -d
-
Last resort: Add
user: rootto the service indocker-compose.ymlto bypass permission issues (not recommended for production)
- Verify at least one LLM key is set:
ANTHROPIC_API_KEY,OPENAI_API_KEY, orOLLAMA_HOST - Check logs for API errors
- Use
/modelto 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 β you'll get basic alerts, but
/diagnoseand natural language chat won't work
- Verify
UNRAID_API_KEYis set - Check the
unraidsection inconfig.yamlhas correcthostandport - If using self-signed certs, set
verify_ssl: false
Check logs immediately after start:
docker logs unraid-monitor-botCommon issues:
- Missing
TELEGRAM_BOT_TOKENorTELEGRAM_ALLOWED_USERS - Invalid configuration in
config.yaml - Docker socket permission issues (see above)
Restart the container after editing config:
docker restart unraid-monitor-botAll persistent data is stored in mounted volumes:
config/
βββ config.yaml # Main configuration
βββ .env # Environment variables (secrets)
data/
βββ ignored_errors.json # Ignore patterns
βββ mutes.json # Container mutes
βββ server_mutes.json # Server mutes
βββ array_mutes.json # Array mutes
βββ model_selection.json # Active LLM provider/model choice
βββ chat_ids.json # Persistent Telegram chat IDs for alert delivery across restarts
- 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
MIT