Session Cost Tracking (codesession-cli)

Track agent session costs, file changes, and git commits. Enforces budget limits and provides detailed session analytics with a full web dashboard.

Latest: v2.2.0 - Claude Code MCP plugin, alerts dashboard, start fresh, insights page, alarm mode.

📦 npm • ⭐ GitHub • 📝 Changelog

Installation

# 1. Install the CLI globally from npm
npm install -g codesession-cli

# 2. Install the OpenClaw skill
clawhub install codesession

After installing, the

cs

command is available globally. The OpenClaw agent will automatically use it to track sessions.

Requirements: Node.js 18+ and C/C++ build tools (needed to compile the embedded SQLite module).

OS	Install build tools
Ubuntu/Debian	sudo apt-get install -y build-essential python3
macOS	xcode-select --install
Windows	npm install -g windows-build-tools or install Visual Studio Build Tools
Alpine	apk add build-base python3

Data is stored locally at

~/.codesession/sessions.db

.

When to use

• Always start a tracked session at the beginning of a multi-step task
• Always log AI usage after each API call you make
• Always end the session when the task is complete
• Check budget before expensive operations
• Use

  cs dashboard

  to review session data in a browser

Commands

Start tracking

# Agent mode (always use --json for structured output):
cs start "task description" --json --close-stale

# Resume if a session was left open (e.g. after a crash):
cs start "task description" --json --resume

# Human/interactive mode (stays running with live file watcher):
cs start "task description"

Agent mode vs interactive mode: With

--json

, the session is created in the database, JSON is printed, and the process exits immediately -- the session stays "active" and tracks git changes when you run

cs end

. Without

--json

, the process stays running with a live file watcher and git commit poller until you press Ctrl+C or run

cs end

in another terminal.

Log AI usage (after each API call)

# With granular tokens (cost auto-calculated from built-in pricing):
cs log-ai -p anthropic -m claude-sonnet-4 --prompt-tokens 8000 --completion-tokens 2000 --json

# With agent name tracking (NEW in v1.9.1):
cs log-ai -p anthropic -m claude-sonnet-4 --prompt-tokens 8000 --completion-tokens 2000 --agent "Code Review Bot" --json

# With manual cost:
cs log-ai -p anthropic -m claude-opus-4-6 -t 15000 -c 0.30 --json

# With all fields:
cs log-ai -p openai -m gpt-4o --prompt-tokens 5000 --completion-tokens 1500 -c 0.04 --agent "Research Agent" --json

Providers:

anthropic

,

openai

,

google

,

mistral

,

deepseek

Cost is auto-calculated from a configurable pricing table (17+ built-in models). Use

cs pricing list --json

to see known models. If a model is unknown, provide

-c <cost>

manually.

Agent Name (optional): Use

--agent "Agent Name"

to track which agent performed the work. Perfect for multi-agent systems, A/B testing, and cost attribution. Agent names appear in the dashboard and can be used to filter/analyze costs per agent.

Check current status

cs status --json

Returns JSON with current session cost, tokens, files changed, duration. All JSON responses include

schemaVersion

and

codesessionVersion

fields.

End session and get summary

cs end -n "completion notes" --json

When ending, codesession automatically scans git for all files changed and commits made since the session started -- even if

--json

mode was used (no live watcher needed).

Web Dashboard

cs dashboard
# Opens http://localhost:3737 with full analytics UI

cs dashboard --port 4000       # custom port
cs dashboard --no-open         # don't auto-open browser

The dashboard shows:

• Overview — KPIs, daily cost/token trends, spend projections, cost velocity
• Sessions — searchable/sortable table, per-session detail with timeline, files, commits, AI calls, notes
• Models — per-model & per-provider cost breakdown, token ratios, usage charts
• Insights — file hotspots, activity heatmap, project breakdown, pricing table
• Alerts — set daily/total/per-session cost thresholds with alarm mode (sound + browser notifications)
• Start Fresh — reset all session data from the sidebar

View session details

cs show --json --files --commits

View historical stats

cs stats --json

Export sessions

cs export --format json --limit 10
cs export --format csv

Add notes / annotations

cs note "Starting refactor phase"
cs note "Tests passing, moving to cleanup"

Timestamped annotations appear in

cs show --json

under

annotations

.

Recover stale sessions

cs recover --max-age 12

Auto-ends any active sessions older than 12 hours.

Agent Workflow

Agents should always use

--json

on every command for structured, parseable output.

1. At task start:

   cs start "Fix authentication bug" --json --close-stale

2. Add context notes:

   cs note "analyzing auth flow" --json

3. After each AI call:

   cs log-ai -p anthropic -m claude-sonnet-4 --prompt-tokens 8000 --completion-tokens 2000 --agent "Bug Fixer" --json

4. Check spend:

   cs status --json

   -- read

   aiCost

   field
5. At task end:

   cs end -n "Fixed the auth bug, added tests" --json

6. Review past sessions:

   cs dashboard

Tip: Use the

--agent

flag to identify your agent's work, especially useful in multi-agent systems where different agents handle different tasks (e.g., "Code Review Bot", "Test Writer", "Documentation Agent").

Pricing

Pricing is configurable. Run

cs pricing list

to see all known model prices. Override or add models:

# Plain model key
cs pricing set my-model 5.00 15.00

# Provider-namespaced key (avoids collisions)
cs pricing set gpt-4o 2.50 10.00 --provider openai

If the model isn't in the pricing table, you must provide

-c <cost>

when logging.

Budget awareness

If the user has set a budget or you detect high spending:

• Check

  cs status --json

  before expensive operations
• Warn the user if

  aiCost

  exceeds $5.00 in a single session
• Suggest cheaper models if costs are escalating

Important

• Use

  --close-stale

  on

  cs start

  to avoid "session_active" errors from prior crashes
• If

  cs

  is not installed, skip session tracking — don't block the user's task
• Always use

  --json

  on every command — agents must use structured output
• With

  --json

  ,

  cs start

  creates the session and exits (no long-running process needed)
• Sessions are scoped by git root — running from a subdirectory still matches the repo-level session
• On errors in

  --json

  mode, exit code is always

  1

  and the response has

  { "error": { "code": "...", "message": "..." } }

• Check

  schemaVersion

  in JSON responses to detect breaking changes

Update check

Periodically check if the CLI is up to date (e.g. at session start or once per day):

# Compare installed version to latest on npm:
cs --version          # installed version
npm view codesession-cli version  # latest on npm

If the installed version is behind, notify the user:

"codesession-cli update available: v1.9.4 -> v2.0.0. Run

npm install -g codesession-cli

to update."

Don't block the workflow for an update — just inform and continue.

JSON output

All commands support

--json

for machine-readable output. Use this when you need to parse session data programmatically.