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Local-only monitoring tool for AI coding agents — track token usage and costs across Claude Code and Codex

Project description

Agentic Metric X

PyPI Python

中文文档

A local-only monitoring tool for AI coding agents — like top, but for your coding agents. Track token usage and costs across Claude Code and Codex — with a TUI dashboard and CLI.

Supported platforms: Linux, macOS, and Windows.

All data stays on your machine. No network requests, no telemetry, no data leaves your computer. The tool only reads local agent data files (~/.claude/, ~/.codex/) and process info.

Agentic Metric TUI

Features

  • Live monitoring — Detect running agent processes, incremental JSONL session parsing
  • Cost estimation — Per-model pricing table with CLI management, calculates API-equivalent costs; supports long-context and cache-duration pricing
  • Unified report — One report command for today / week / month / custom date range, with agent × model breakdown, top projects, cost drivers, and hourly/daily/weekly heatmaps
  • TUI dashboard — Terminal UI with live refresh, stacked summary cells, heatmap strip, 30-day cost chart, and agent × model breakdown
  • Multi-agent — Plugin architecture; supports Claude Code and Codex today, extensible

Agent Data Coverage

Field Claude Code Codex
Session ID
Project path
Git branch
Model
Input tokens
Output tokens
Cache tokens ✓¹
User turns
Message count
First/last prompt
Cost estimation
Live active status

¹ Codex exposes cache-read tokens only; cache-write is not reported. Codex's input_tokens already includes cached tokens, so the collector stores input_tokens − cached_input_tokens to avoid double-charging at both input and cache-read pricing.

Installation

Requires Python 3.10+.

pip install agentic-metric-x

Or with uv:

uvx agentic-metric-x              # Run directly without installing
uv tool install agentic-metric-x   # Or install persistently
uv tool upgrade agentic-metric-x   # Upgrade to latest version

Usage

agentic-metric                       # Launch TUI dashboard (default when no command given)
agentic-metric tui                   # Launch TUI dashboard explicitly
agentic-metric sync                  # Force sync collectors to the local database
agentic-metric report --today        # Today's usage report
agentic-metric report --week         # This week (Mon → today)
agentic-metric report --month        # This month
agentic-metric report --range 2026-04-01:2026-04-23   # Custom date range
agentic-metric today                 # Shortcut for `report --today`
agentic-metric week                  # Shortcut for `report --week`
agentic-metric month                 # Shortcut for `report --month`
agentic-metric history -d 30         # Last N days (default 14)
agentic-metric pricing               # Manage model pricing

Report Options

Option Description
--today Today's usage
--week This week (Mon → today)
--month This month
--range FROM:TO Custom date range, e.g. 2026-04-01:2026-04-23
--full Show extra drill-down tables (by agent, periodic breakdown)
--limit N / -n N Rows in driver tables (1–25, default 8)
--no-sync Skip syncing collectors before querying

report shows a header with total cost / sessions / turns / tokens / cache-hit rate, a delta vs. the previous equivalent period, a heatmap strip (hours for --today, days for --week, weeks for --month), plus a default agent × model breakdown, top projects, top cost drivers, and optional extra drill-down tables.

Pricing Management

Model pricing is used for cost estimation. Builtin pricing is included for common models. You can add new models, override builtins, configure long-context rates, and configure observable cache-duration rates via CLI. Overrides are stored in $DATA/agentic_metric/pricing.json.

Basic model pricing

agentic-metric pricing list                                                # List all model pricing
agentic-metric pricing set deepseek-r2 -i 0.5 -o 2.0                       # Add a new model
agentic-metric pricing set claude-opus-4-7 -i 4.0 -o 20.0 -cr 0.4 -cw 5.0  # Override builtin
agentic-metric pricing reset deepseek-r2                                   # Reset one model to builtin
agentic-metric pricing reset --all                                         # Reset all overrides

Long-context pricing

Some models charge higher rates when a single request exceeds a token threshold. The tool applies these rates per-event when collectors provide event-level usage.

agentic-metric pricing long-context set gpt-5.5 --threshold 272000 -i 10 -o 45 -cr 1 -cw 0
agentic-metric pricing long-context reset gpt-5.5        # Remove user override
agentic-metric pricing long-context disable gpt-5.5      # Disable builtin rule
agentic-metric pricing long-context enable gpt-5.5       # Re-enable builtin rule

Cache-duration pricing

Anthropic charges different cache-write prices depending on cache TTL. By default the tool uses the 5-minute rate; override for 1-hour cache duration when applicable.

agentic-metric pricing cache set claude-sonnet-4 --write-1h 6    # Set 1h cache write price
agentic-metric pricing cache reset claude-sonnet-4                # Remove override

Unknown models are not priced by default. They are displayed as Unknown with cost ? until you add explicit pricing with agentic-metric pricing set. Provider speed/priority modes are not shown or priced separately because the local history files do not expose reliable non-standard markers.

After a pricing change, the command resyncs local history so event-level costs such as long-context requests are recalculated from the original JSONL data.

TUI Keybindings

Key Action
/ Switch view (Today / Week / Month)
/ Move time range earlier / later
. Jump back to "now" (reset offset)
t / w / m Focus Today / Week / Month directly
r Refresh data once
R Toggle auto-refresh (every 30s)
q Quit

Builtin Model Pricing

Prices are USD per 1M tokens. Verified against official pricing docs (2026-04-25).

Anthropic Claude
Model Input Output Cache Read Cache Write
claude-opus-4-7 / 4-6 / 4-5 $5.00 $25.00 $0.50 $6.25
claude-opus-4-1 / 4 $15.00 $75.00 $1.50 $18.75
claude-sonnet-4-6 / 4-5 / 4 / 3-7 $3.00 $15.00 $0.30 $3.75
claude-haiku-4-5 $1.00 $5.00 $0.10 $1.25
claude-haiku-3-5 $0.80 $4.00 $0.08 $1.00
OpenAI GPT
Model Input Output Cache Read Cache Write
gpt-5.5 $5.00 $30.00 $0.50
gpt-5.4 $2.50 $15.00 $0.25
gpt-5.4-mini $0.75 $4.50 $0.075
gpt-5.4-nano $0.20 $1.25 $0.02
gpt-5.3 / 5.2 / 5.1 / 5 $1.25–$1.75 $10.00–$14.00 $0.125–$0.175
Google Gemini
Model Input Output Cache Read Cache Write
gemini-3.1-pro / 3-pro $2.00 $12.00 $0.20
gemini-3-flash $0.50 $3.00 $0.05
gemini-2.5-pro $1.25 $10.00 $0.125
gemini-2.5-flash $0.30 $2.50 $0.03

Run agentic-metric pricing list for the full table including your overrides.

Architecture

src/agentic_metric/
├── cli.py              # Typer CLI commands and Rich report rendering
├── config.py           # Platform paths, environment variables, constants
├── models.py           # Data classes (LiveSession, TodayOverview, DailyTrend)
├── pricing.py          # Builtin + user pricing, cost estimation engine
├── collectors/
│   ├── __init__.py     # Collector registry and base class
│   ├── claude_code.py  # Claude Code JSONL parser and process detector
│   ├── codex.py        # Codex JSONL parser and process detector
│   └── _process.py     # Cross-platform process detection (psutil/tasklist)
├── store/
│   ├── __init__.py
│   ├── database.py     # SQLite database (sessions, session_usage buckets)
│   └── aggregator.py   # Query layer: range totals, heatmaps, breakdowns
└── tui/
    ├── __init__.py
    ├── app.py          # Textual TUI application
    └── widgets.py      # Custom TUI widgets

Data flow

  1. Collectors read agent data files (~/.claude/, ~/.codex/) and emit LiveSession objects.
  2. Database stores sessions and per-day session_usage buckets in SQLite.
  3. Aggregator runs SQL queries for reports (range totals, heatmaps, breakdowns by agent/model/project).
  4. CLI renders Rich tables and panels. TUI uses Textual for a live dashboard.
  5. Pricing engine calculates costs per-event (long-context aware) or per-session.

Data Sources

Paths differ by platform. $DATA refers to:

Linux macOS Windows
$DATA ~/.local/share ~/Library/Application Support %LOCALAPPDATA%
Agent Path Data
Claude Code ~/.claude/projects/ JSONL sessions, token usage, model, branch
Claude Code ~/.claude/stats-cache.json Daily activity stats
Claude Code Process detection Running status, working directory
Codex ~/.codex/sessions/ JSONL sessions, token usage, model
Codex Process detection Running status, working directory

Claude Code honors CLAUDE_CONFIG_DIR and Codex honors CODEX_HOME — if you have relocated either agent's config directory, the collectors pick up the environment variable automatically.

All aggregated data is stored locally in $DATA/agentic_metric/data.db (SQLite).

Unsupported Agents

  • Cursor — Cursor stopped writing token usage data (tokenCount) to its local state.vscdb database around January 2026 (approximately version 2.0.63+). All inputTokens/outputTokens values are now zero. Cursor has moved usage tracking to a server-side system. Since this tool is designed to be fully offline with no network requests, monitoring Cursor usage is not supported.
  • OpenCode / Qwen Code / VS Code Copilot Chat — collectors for these agents existed up to v0.1.8 and were removed in v0.2.0 as this fork narrowed its focus to Claude Code and Codex. If you need them, stay on v0.1.8 from upstream.

Privacy

  • Fully offline — no network requests, no data sent anywhere
  • Read-only — never modifies agent config or data files
  • All stats stored in a local SQLite database
  • Delete the data directory at any time to remove all data (~/.local/share/agentic_metric/ on Linux, ~/Library/Application Support/agentic_metric/ on macOS, %LOCALAPPDATA%\agentic_metric\ on Windows)

Development

git clone https://github.com/xihuai18/agentic-metric
cd agentic-metric
pip install -e ".[dev]"
pytest

License

MIT — see LICENSE.

Forked from MrQianjinsi/agentic-metric (v0.1.8 upstream). See CHANGELOG.md for what changed in this fork.

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