Server (SvelteKit + SQLite Docker container) + per-machine agent that parses Claude Code JSONL transcripts. docker-compose one-command deploy; raw transcript view + search gated behind SHOW_TRANSCRIPTS (hidden by default). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
101 lines
3.9 KiB
Markdown
101 lines
3.9 KiB
Markdown
# toknmtr
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Self-hosted **Claude Code usage & analytics dashboard**. An **agent** on each of your
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machines parses Claude Code's JSONL transcripts into a full event log and pushes it to a
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**server** (one SvelteKit + SQLite container). The server stores everything — usage, tool
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calls, commands, raw prompts/responses — and serves a dashboard plus a full-text-searchable
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session archive.
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It's two halves:
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- **Server** (`src/`, shipped as a Docker image) — the dashboard, the ingest API, the DB.
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- **Agent** (`agent/` + `ops/`, runs on each machine) — parses `~/.claude/projects/**/*.jsonl`
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and POSTs to the server. Not part of the image; you run it wherever you use Claude Code.
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The server image contains **no data** — the SQLite DB is created empty in a mounted volume on
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first run. All conversation content only ever comes from *your* agent pushing *your*
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transcripts to *your* server.
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> **New here? Follow [DEPLOY.md](DEPLOY.md)** — a full step-by-step walkthrough (prerequisites,
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> server, agent, security, updating). The sections below are the quick reference.
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---
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## 1. Run the server (Docker)
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Requires Docker with the Compose plugin. From the repo root:
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```sh
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cp .env.example .env
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# edit .env: set API_TOKEN to a long random secret
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# openssl rand -hex 32
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docker compose up -d --build
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```
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The dashboard is now at **http://localhost:3001**. The DB lives in the `toknmtr-data`
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Docker volume; the container restarts unless stopped.
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**Privacy note — the dashboard has no auth.** By default the two surfaces that expose
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verbatim prompt/response text (the per-session **transcript view** and full-text **search**)
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are **hidden**; charts, KPIs, and session metadata stay visible. Only set
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`SHOW_TRANSCRIPTS=true` in `.env` once you've put the dashboard behind auth (reverse proxy,
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VPN, etc.). Don't expose it to the public internet as-is.
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### Config (`.env`)
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| Var | Purpose |
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| ------------------ | --------------------------------------------------------------- |
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| `API_TOKEN` | **Required.** Bearer token the agent must send to `/api/ingest`. |
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| `SHOW_TRANSCRIPTS` | `true` reveals transcript view + search. Unset = hidden (safe). |
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| `PORT` | Host port is set in `docker-compose.yml` (`3001:3000`). |
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---
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## 2. Feeding it data (the agent)
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The server starts empty. To populate it, run the agent on each machine where you use Claude
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Code (needs Node 24+ for `--experimental-strip-types`). One-time setup per machine:
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```sh
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mkdir -p ~/.toknmtr
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cat > ~/.toknmtr/env <<'EOF'
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TOKNMTR_URL=http://<server-host>:3001
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TOKNMTR_TOKEN=<the same API_TOKEN you set on the server>
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EOF
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chmod 600 ~/.toknmtr/env
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```
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Then, from a clone of this repo on that machine:
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```sh
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# one-time: ingest all transcripts already on disk
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node --experimental-strip-types agent/run.ts --backfill
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# ongoing capture — register the Stop hook so every turn pushes incrementally
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ops/install-hook.sh
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```
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`ops/install-hook.sh` adds a near-zero-cost Claude Code `Stop` hook (additive + reversible
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with `--remove`). An optional `ops/install-cron.sh` adds a reconcile sweep as a safety net.
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Full agent/capture docs — the `~/.toknmtr/env` format, the hook-vs-cron tradeoff, backfill,
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and troubleshooting — are in **[`ops/README.md`](ops/README.md)**.
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Ingest is an idempotent upsert (keyed on `host + session_id + uuid`), so re-running the
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backfill or overlapping hook/cron sweeps never duplicates data.
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---
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## 3. Development
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Node 24, SvelteKit 2 (Svelte 5), TypeScript, `better-sqlite3`.
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```sh
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npm install
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npm run dev # dev server
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npm run check # typecheck
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npm run build # production build → build/ (run with `node build`)
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npm run lint # prettier + eslint
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```
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Pricing lives server-side in `src/lib/server/pricing.ts` — adding a model is a one-line
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update. Because the subscription is flat-rate, all `$` figures are *notional* (API-equivalent).
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