codesession — Отслеживание и оптимизация расходов на AI-сессии

--- name: codesession description: codesession (codesession-cli, code session, code-session) — Track AI agent session costs, tokens, file changes, and git commits. Works with Claude Code, OpenClaw, Codex, GPT, Cursor, Windsurf, Cline & any AI agent. Budget enforcement, auto-pricing, MCP server, web dashboard, alerts, insights. v2.5.1. metadata: {"openclaw": {"homepage": "https://github.com/brian-mwirigi/codesession-cli", "requires": {"bins": ["cs"]}, "install": [{"id": "npm", "kind": "node", "package": "codesession-cli", "bins": ["cs"], "label": "Install codesession-cli (npm)"}]}} --- # 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: v2.5.1** - `cs run <command>` wraps everything in one step (session + proxy + run + cost summary). `cs today` for multi-project context. Dashboard Help tab, Codex pricing, security fixes. 📦 [npm](https://www.npmjs.com/package/codesession-cli) • ⭐ [GitHub](https://github.com/brian-mwirigi/codesession-cli) • 📝 [Changelog](https://github.com/brian-mwirigi/codesession-cli/blob/main/CHANGELOG.md) ## Installation ```bash # 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 ```bash # 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) ```bash # 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 (21+ built-in models including Codex). 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 ```bash 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 ```bash 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 ```bash 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 ```bash cs show --json --files --commits ``` ### View historical stats ```bash cs stats --json ``` ### Export sessions ```bash cs export --format json --limit 10 cs export --format csv ``` ### Add notes / annotations ```bash cs note "Starting refactor phase" cs note "Tests passing, moving to cleanup" ``` Timestamped annotations appear in `cs show --json` under `annotations`. ### Recover stale sessions ```bash 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: ```bash # 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. ## Proxy mode & cs run (v2.5.0) The fastest way to track any agent run: ```bash cs run python my_agent.py # or: cs run --name "fix auth" node agent.js ``` This starts a session, launches the proxy, runs your command, then ends the session and prints a cost summary. No extra terminals, no env vars to export. If you prefer manual control, start the proxy in one terminal and set env vars: ```bash cs proxy --session "my task" # auto-starts a session too # then in your agent shell: export ANTHROPIC_BASE_URL=http://127.0.0.1:3739 export OPENAI_BASE_URL=http://127.0.0.1:3739/v1 ``` The proxy binds to `127.0.0.1` only. It never stores prompt text or API keys — only token counts are written to the session. ## 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): ```bash # 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.