vllmtop
Production-grade TUI dashboard for monitoring vLLM inference servers. Real-time metrics, persistent storage, and Grafana-style visualizations in your terminal.
Features
- Live Dashboard - Real-time KPI cards, gauge bars, and sparklines with 60s rolling history
- Historical Explorer - Time-range analysis with interactive charts
- Request Breakdown - Request completion outcomes and statistics
- Cache & System Analytics - KV cache usage, prefix cache hit rates, and system metrics
- Configurable Alerts - Threshold-based alert rules with persistent alert history
- Multiple Graph Styles - Line, braille, and block charts (press
gto cycle) - Multi-Server Monitoring - Monitor multiple vLLM instances from a single dashboard
- Persistent Storage - All metrics saved to SQLite with automatic retention management
Installation
Requires Python 3.11+.
pip install .
For development:
pip install -e ".[dev]"
Quick Start
# Connect to a local vLLM server (default: http://localhost:8000)
vllmtop
# Connect to a remote server
vllmtop --url http://gpu-server:8000
# Use a config file
vllmtop --config config.yaml
# Custom poll interval and retention
vllmtop --url http://localhost:8000 --interval 2 --retention 60
Configuration
Copy the example config and customize:
cp config.example.yaml config.yaml
targets:
- url: http://localhost:8000
name: "GPU Server 1"
graph_style: "line" # line, braille, or block
poll_interval: 1.0 # seconds
db_path: "./vllm_metrics.db"
retention_days: 30
alert_rules:
- name: "KV Cache Critical"
metric: "vllm:kv_cache_usage_perc"
operator: ">"
threshold: 90.0
enabled: true
See config.example.yaml for the full configuration reference.
CLI Options
| Option | Default | Description |
|---|---|---|
--url |
http://localhost:8000 |
vLLM server URL |
--db |
./vllm_metrics.db |
SQLite database path |
--retention |
30 |
Data retention in days |
--interval |
1.0 |
Poll interval in seconds |
--config |
- | Path to YAML config file |
--graph-style |
line |
Graph style: line, braille, or block |
Keyboard Shortcuts
| Key | Action |
|---|---|
1-5 |
Switch tabs |
g |
Cycle graph style |
s |
Screenshot |
ctrl+p |
Command palette |
q |
Quit |
Metrics Tracked
- Requests - Running, waiting, swapped, queue time
- Cache - KV cache usage, GPU cache usage, prefix cache hit rate
- Tokens - Prompt tokens, generation tokens, totals
- Latency - Time-to-first-token (TTFT), time-per-output-token (TPOT), end-to-end latency
- Throughput - Prompt and generation throughput (tok/s)
License
MIT
Metadata
Release files for vllm-mon 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| vllm_mon-0.1.0.tar.gz | 18.1 MB | Without provenance | Details for vllm_mon-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| vllm_mon-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for vllm_mon-0.1.0-py3-none-any.whl |
Total release size: 18.1 MB
Release files / vllm_mon-0.1.0.tar.gz
| Download URL | vllm_mon-0.1.0.tar.gz |
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| Size | 18.1 MB |
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| Size | 45.4 kB |
| Tags | Python 3 |
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