---

omni-usage is a terminal-native token consumption dashboard for OmniRoute — the open-source AI gateway. It reads OmniRoute's local call logs from disk and presents your token usage in a live auto-refreshing TUI, a one-shot terminal report, or a teeny single-line peek for your shell prompt.

No API calls, no network, no extra LLM cost. Just your logs, your terminal.

---

✨ Features

Feature	Description
🖥️ Live TUI Widget	Auto-refreshing dashboard that fits in 24 lines — no scrolling
📋 One-Shot Reports	Terminal-formatted or JSON output for scripts and pipelines
🔍 Shell-Prompt Peek	Single-line summary for $PS1, tmux status, or Conky
🤖 Per-Model Breakdown	Token volume, request count, and error rate per model
🎯 Route Combo Analysis	See which routing combos consume the most tokens
🔥 Cache Savings Tracking	Prompt cache hit ratio shown in real time
🕒 Session / Today / All Time	Three time windows at once: last 5 min, today, cumulative
⚡ Current Active Model	Bottom bar shows the last-used model/combo
🧩 Zero External Dependencies	Pure Python stdlib — works out of the box
💻 Cross-Platform	macOS, Linux, Windows — any terminal with ANSI support

---

📦 Install

pip install omni-usage

# or with uv (fastest):
uv tool install omni-usage

# or from source:
git clone https://github.com/SpinachDigital/omni-usage
cd omni-usage
pip install -e ".[dev]"

Requires Python 3.10+. That's it — the dashboard is built on Python's standard library (plus rich for future display enhancements). No database, no web server, no API keys.

---

🚀 Usage

🖥️ Live TUI Widget (default command)

# Launch the dashboard with default 30-second refresh
omni-usage widget

# Custom refresh interval (seconds)
omni-usage widget --interval 60

# Shorthand
omni-usage widget -i 15

Press Ctrl+C to exit.

What you'll see

┌──────────────────────────────────────────────────────────────┐
│  ⚡ omni-usage  ·  v0.1.0  ·  05 Jul 14:32  ·  ref 30s      │
├──────────────────────────────────────────────────────────────┤
│  ⏳ Session (5m)    📅 Today           📊 All Time           │
│  Req 12             Req 112            Req 367               │
│  Tok 1.5M           In  8.7M           ✓  222                │
│                     Out 40K            ✗  145                │
├──────────────────────────────────────────────────────────────┤
│  🤖  Models Used (by token volume)                          │
│  big-pickle                 165        13.1M     ✓           │
│  GPT_5_4                    49         751K      ⚠12         │
│  deepseek-v4_…               2          96K      ✓           │
│  gemini_3_flash              8          75K      ⚠3          │
│  claude-opus-4              11          42K      ✓           │
├──────────────────────────────────────────────────────────────┤
│  🎯  Route Combos (by token volume)                         │
│  auto/best-coding                           5.3M             │
│  auto/claude-opus                           4.7M             │
│  auto/chat                                  3.2M             │
│  auto/code-gen                              1.1M             │
│  auto/deep-research                         890K             │
├──────────────────────────────────────────────────────────────┤
│  Now: auto/best-coding  ·  🔥 89% cache saved  ·  Ctrl+C    │
└──────────────────────────────────────────────────────────────┘

The widget fits in 24 lines on any standard terminal — no scrolling needed. Three stats columns side-by-side, top models and combos ranked by token volume, and a footer showing what model or combo is active right now plus your cache savings rate.

📋 One-Shot Report

# Terminal-formatted report
omni-usage report

# JSON output (pipe into jq, feed to scripts, log to file)
omni-usage report --json

Example output:

omni-usage report  ·  2026-07-05 14:32:00 UTC
────────────────────────────────────────────────────────
  Requests:      367  ✓   222  ✗   145
  Input:       8.7M
  Output:       40K
  Cache read:  7.8M
  Total:      14.2M

  Model                              Req     Tokens
  ──────────────────────────────────────────────────────
  big-pickle                         165     13.1M
  GPT_5_4                             49      751K
  deepseek-v4_1                        2       96K
  gemini_3_flash                       8       75K
  claude-opus-4                       11       42K

🔍 Quick Peek (for shell prompts)

omni-usage peek
# → ⚡ 14.2M total  ·  8.7M today  ·  367 requests

Integrate it anywhere you have a shell:

Location	How
Bash/Zsh prompt	PS1='\u@\h $(omni-usage peek) \$ '
tmux status bar	set -g status-right '#(omni-usage peek)'
Conky / desktop widget	${exec omni-usage peek}
Hermes Agent slash command	hermes skill install path/to/omni-usage

---

📊 What the Dashboard Shows

Column headers — three time windows side by side

Column	Window	What it measures
⏳ Session	Last 5 minutes	Recent spikes, active model, current throughput
📅 Today	Current UTC day	Daily burn rate, budget tracking
📊 All Time	Entire log history	Cumulative totals, success/error counts

Section breakdown

Section	Content
🤖 Models	Top 5 models ranked by total tokens (input + output), with request count, token volume, and error indicators
🎯 Combos	Top 5 route combos ranked by input-token volume — shows which routing strategies are costing you
🔥 Footer	Last-used model or combo name, prompt cache savings percentage, refresh interval

Cache savings

The 🔥 X% cache saved metric in the footer compares tokens.cacheRead against total input tokens. Higher is better — it means OmniRoute's prompt caching is doing its job, saving you money on repeated context.

---

🤔 Why omni-usage?

The problem

You run an AI gateway. You know you're spending money on tokens. But the only way to see usage is to log into a cloud dashboard, query an API, or grep through thousands of JSON files. Every extra API call for "just check usage" costs you more tokens.

The approach

omni-usage inverts the model. Instead of polling a remote API, it reads the call logs that OmniRoute already writes to disk for every proxied request. This means:

• Zero token overhead — no API calls, no hidden costs
• Offline-first — works without internet
• Sub‑second startup — no network latency, no auth handshake
• Local privacy — your usage data never leaves your machine

How it compares

Feature	omni-usage	LangSmith / Weights & Biases	Cloud dashboards
Network required	❌ No	✅ Yes	✅ Yes
Extra token cost	❌ Zero	✅ Yes (API calls)	✅ Yes (API calls)
Startup time	~50ms	Seconds+	Seconds+
Live TUI	✅ Yes	❌ Web only	❌ Web only
Shell integration	✅ peek subcommand	❌	❌
Offline capable	✅ Yes	❌ No	❌ No
Zero dependencies	✅ Python stdlib	❌ Heavy SDK	❌ N/A
Open source	✅ MIT	❌ Proprietary	❌ Proprietary

Who is it for?

• OmniRoute users who want instant usage visibility
• Solo devs & small teams who don't want to add another SaaS dashboard
• Terminal lovers who live in their shell and want data at a glance
• Budget-conscious teams tracking token spend without paying for monitoring tools

---

🔧 How It Works

1. OmniRoute logs every proxied request as a JSON file to ~/.omniroute/call_logs/<YYYY-MM-DD>/<uuid>.json
2. Each log contains: model name, provider, combo name, status code, timestamps, and a tokens object (in, out, cacheRead, reasoning)
3. omni-usage scans these files, aggregates the counts, and renders them

The aggregation is a single linear pass — O(n) in the number of log files. For 10,000 records it completes in under 50ms.

---

🧩 Examples & Integrations

Track token budget in CI

# Fail a build if today's tokens exceed a threshold
TODAY=$(omni-usage report --json | python -c "import json,sys; d=json.load(sys.stdin)['today']; print(d['in']+d['out'])")
if [ "$TODAY" -gt 10000000 ]; then
  echo "⚠️  Token budget exceeded: $TODAY"
  exit 1
fi

Log daily usage to a file

# Cron: every day at 9 AM
0 9 * * * omni-usage report >> ~/token-usage.log

Export to CSV

omni-usage report --json | python -c "
import json, sys
d = json.load(sys.stdin)
for model, stats in d['models']:
    print(f'{model},{stats[\"req\"]},{stats[\"in\"]},{stats[\"out\"]},{stats[\"cache\"]}')
"

Watch usage in a tmux pane

tmux new-session -d 'omni-usage widget -i 10' \; \
     split-window -h 'tail -f ~/.omniroute/call_logs/*/*.json'

---

🧪 Development

git clone https://github.com/SpinachDigital/omni-usage
cd omni-usage
pip install -e ".[dev]"

Code style

• Python 3.10+ type hints everywhere (| union syntax, list[str] etc.)
• ruff for linting and formatting
• Keep the widget dependency-light — stdlib is preferred

PR checklist

• Tested against real OmniRoute call logs
• omni-usage widget launches without error
• omni-usage report --json produces valid JSON
• omni-usage peek prints a single line
• Type hints are complete

See CONTRIBUTING.md for full guidelines.

---

📁 Project Structure

omni-usage/
├── src/
│   └── omni_usage/
│       ├── __init__.py       # Package entry, re-exports
│       ├── __about__.py      # Version metadata
│       ├── __main__.py       # `python -m omni_usage` support
│       ├── cli.py            # CLI argument parsing, report/peek commands
│       ├── collector.py      # Call log parser + aggregation engine
│       └── widget.py         # Live TUI renderer + refresh loop
├── pyproject.toml            # Hatchling build config + metadata
├── CONTRIBUTING.md
├── LICENSE
└── README.md                 # ← you are here

---

📄 License

MIT — see LICENSE.

---