toknmtr

whats the plan

set up a workflow to get thtough as much as you can. you have portainer details so maybe even get it all running for me? that would be great. so yea workflow, use subagents, sonnet where you can.

=== toknmtr shared contract (ALL agents must obey) ===
Project: /home/megaproxy/claude/projects/toknmtr  (SvelteKit 2 / Svelte 5 / TS, adapter-node, better-sqlite3, Node 24).
Read CLAUDE.md and memory.md in the project root first. Read the files YOU own before editing.

ARCHITECTURE: a standalone TS agent (agent/) parses Claude Code JSONL transcripts and POSTs event batches to the
SvelteKit server's /api/ingest. The server stores everything in SQLite and serves a dashboard + FTS search.

DB SCHEMA is ALREADY DEFINED in src/lib/server/db.ts (tables: sessions, events, tool_calls, content, content_fts,
usage_gauges). Treat it as the source of truth. Only the INGEST agent may modify db.ts, and only ADDITIVELY
(CREATE TABLE IF NOT EXISTS / extra indexes) — never drop/rename existing columns. Everyone else reads it, never edits it.

WIRE FORMAT (agent -> server): POST JSON { events: ParsedEvent[] }. ParsedEvent is defined in agent/parse.ts.
The server upserts idempotently. Event PK = (host, session_id, uuid). Usage dedup key = (session_id, message_id, request_id):
mark exactly one row per that triple as is_usage_canonical=1 (the row with the max output_tokens / final assistant line).
Auth: header 'Authorization: Bearer <API_TOKEN>' (server reads env.API_TOKEN).

REAL JSONL LINE SHAPE (confirmed from a live transcript):
 - top-level keys: type ('user'|'assistant'|'system'|'summary'), uuid, parentUuid, timestamp (ISO), sessionId, cwd,
   gitBranch, version, isSidechain, userType, entrypoint, requestId (assistant only), promptId (user only).
 - message: { role, model (assistant), id (assistant message id), content, stop_reason, usage }.
 - usage: { input_tokens, output_tokens, cache_creation_input_tokens, cache_read_input_tokens,
   server_tool_use: { web_search_requests, web_fetch_requests } }. Assistant lines STREAM and repeat message.id 3-4x;
   each physical line still has a unique top-level uuid.
 - message.content is an array of blocks: {type:'text', text}, {type:'thinking', thinking}, {type:'tool_use', id, name, input},
   and on USER lines {type:'tool_result', tool_use_id, content, is_error}. content may also be a plain string (user typed prompt).
 - slash commands appear as user text wrapped like '<command-name>/foo</command-name>...' or '<command-message>'.

PRICING: src/lib/server/pricing.ts exports costFor(model, tokenCounts) and PRICING. Use it; do not duplicate rate tables.
Unknown/local models cost 0.

DECISIONS (do not relitigate):
 - Server port = 3001. Container name = toknmtr. SQLite at /data/toknmtr.db (mounted volume).
 - NO chart library. Dashboards use hand-rolled inline SVG + CSS only. Add ZERO new npm dependencies unless absolutely
   unavoidable; if you think you need one, instead implement without it.
 - DO NOT run git commit/push, npm install of new deps, or modify package.json — leave that to the orchestrator/integration step.
 - Keep everything strict-TypeScript clean (the repo runs 'npm run check' = svelte-check) and prettier-formatted
   (2-space indent, single quotes, semicolons, trailing-comma where prettier puts them).
 - Match the existing code style in the files you touch (look at db.ts / pricing.ts for the house style).


YOU OWN: agent/usage.ts (new). Do NOT touch agent/run.ts, agent/parse.ts, or any other file (the integration step will wire you in).

Port the 'claude /usage' percentage scraper. Reference implementation (Rust): read
/home/megaproxy/claude/projects/claude-usage-widget/src-tauri/src/cli_usage.rs for the exact PTY-drive sequence, timing, and the
regex/parse logic for the three bars: 'Current session', 'Current week (all models)', 'Current week (Sonnet only)' -> percentages.
Also skim that project's memory.md for /usage-parsing gotchas.

CONSTRAINTS:
 - DO NOT add the node-pty native dependency. Instead obtain a PTY via a shell helper: spawn 'script -qfc "claude" /dev/null' (util-linux)
   or 'unbuffer claude', feeding '/usage\n' on stdin after a startup delay, capturing stdout for a few seconds, then killing the process.
   Strip ANSI escape codes, then parse the rendered bars. Detect at runtime whether 'script'/'unbuffer' exist; if neither, fail gracefully.
 - Export async function fetchUsageGauges(): Promise<{ host, ts_utc, session_pct, week_all_pct, week_sonnet_pct } | null>. Return null
   (never throw) on any failure — this feature is best-effort and must NEVER break the main agent run.
 - Pure Node 24 + child_process only. Strict-TS clean.

This is genuinely brittle; if you cannot fully verify the parse, implement your best effort and clearly note assumptions + how to test
(e.g. 'run: node --experimental-strip-types agent/usage.ts'). Add a tiny main() so it can be run standalone for testing. Report via schema.

=== toknmtr shared contract (ALL agents must obey) ===
Project: /home/megaproxy/claude/projects/toknmtr  (SvelteKit 2 / Svelte 5 / TS, adapter-node, better-sqlite3, Node 24).
Read CLAUDE.md and memory.md in the project root first. Read the files YOU own before editing.

ARCHITECTURE: a standalone TS agent (agent/) parses Claude Code JSONL transcripts and POSTs event batches to the
SvelteKit server's /api/ingest. The server stores everything in SQLite and serves a dashboard + FTS search.

DB SCHEMA is ALREADY DEFINED in src/lib/server/db.ts (tables: sessions, events, tool_calls, content, content_fts,
usage_gauges). Treat it as the source of truth. Only the INGEST agent may modify db.ts, and only ADDITIVELY
(CREATE TABLE IF NOT EXISTS / extra indexes) — never drop/rename existing columns. Everyone else reads it, never edits it.

WIRE FORMAT (agent -> server): POST JSON { events: ParsedEvent[] }. ParsedEvent is defined in agent/parse.ts.
The server upserts idempotently. Event PK = (host, session_id, uuid). Usage dedup key = (session_id, message_id, request_id):
mark exactly one row per that triple as is_usage_canonical=1 (the row with the max output_tokens / final assistant line).
Auth: header 'Authorization: Bearer <API_TOKEN>' (server reads env.API_TOKEN).

REAL JSONL LINE SHAPE (confirmed from a live transcript):
 - top-level keys: type ('user'|'assistant'|'system'|'summary'), uuid, parentUuid, timestamp (ISO), sessionId, cwd,
   gitBranch, version, isSidechain, userType, entrypoint, requestId (assistant only), promptId (user only).
 - message: { role, model (assistant), id (assistant message id), content, stop_reason, usage }.
 - usage: { input_tokens, output_tokens, cache_creation_input_tokens, cache_read_input_tokens,
   server_tool_use: { web_search_requests, web_fetch_requests } }. Assistant lines STREAM and repeat message.id 3-4x;
   each physical line still has a unique top-level uuid.
 - message.content is an array of blocks: {type:'text', text}, {type:'thinking', thinking}, {type:'tool_use', id, name, input},
   and on USER lines {type:'tool_result', tool_use_id, content, is_error}. content may also be a plain string (user typed prompt).
 - slash commands appear as user text wrapped like '<command-name>/foo</command-name>...' or '<command-message>'.

PRICING: src/lib/server/pricing.ts exports costFor(model, tokenCounts) and PRICING. Use it; do not duplicate rate tables.
Unknown/local models cost 0.

DECISIONS (do not relitigate):
 - Server port = 3001. Container name = toknmtr. SQLite at /data/toknmtr.db (mounted volume).
 - NO chart library. Dashboards use hand-rolled inline SVG + CSS only. Add ZERO new npm dependencies unless absolutely
   unavoidable; if you think you need one, instead implement without it.
 - DO NOT run git commit/push, npm install of new deps, or modify package.json — leave that to the orchestrator/integration step.
 - Keep everything strict-TypeScript clean (the repo runs 'npm run check' = svelte-check) and prettier-formatted
   (2-space indent, single quotes, semicolons, trailing-comma where prettier puts them).
 - Match the existing code style in the files you touch (look at db.ts / pricing.ts for the house style).


YOU OWN: agent/parse.ts, agent/cursor.ts (new), agent/push.ts, agent/run.ts (new). Do NOT touch agent/usage.ts (another agent owns it) or any src/ file.

Build the real standalone agent that turns Claude Code JSONL transcripts into ParsedEvent batches and pushes them.

1. agent/parse.ts — keep/extend the existing ParsedEvent interface. Implement:
   - parseLine() fully: flatten message.content text blocks into 'text' (store user/assistant visible text; you may include thinking separately but prefer visible text). Extract tool_use blocks and tool_result blocks.
   - A function to parse a whole file's lines into { events: ParsedEvent[], toolCalls: ToolCall[], session: SessionMeta }.
     Define and export ToolCall (matches tool_calls table: host, session_id, tool_use_id, event_uuid, tool_name, input_json, is_error, result_bytes, duration_ms, ts_utc) and SessionMeta (host, session_id, project(cwd), git_branch, cc_version, entrypoint, started_at, ended_at).
   - Pair tool_use (assistant) with the matching tool_result (later user line, same tool_use_id): set is_error, result_bytes (byte length of result content), duration_ms (ts difference).
   - Compute latency_ms per assistant turn from consecutive line timestamps where sensible.
   - Mark usage-canonical: across lines sharing (session_id, message_id, request_id), pick the final/max-output_tokens row. Add is_usage_canonical: boolean to ParsedEvent and set it in the agent so the server can store it.
   - Skip non-transcript lines gracefully (workflow journal files, malformed JSON).
2. agent/cursor.ts — per-file byte-offset cursor persisted to a local JSON file (e.g. ~/.toknmtr/cursors.json) so re-runs only emit NEW bytes appended since last run (incremental). Handle file truncation/rotation (offset > size => reset).
3. agent/push.ts — already drafted; update the default URL to http://192.168.1.249:3001 and keep the batched POST + throw-on-error. Add simple chunking (e.g. 500 events/request).
4. agent/run.ts — CLI entry: walk TRANSCRIPT_ROOT recursively for *.jsonl (EXCLUDING any path containing '/subagents/' or files named journal.jsonl), parse new bytes via cursors, push. Support a '--backfill' flag (ignore cursors, full reparse) and '--once'. host = os.hostname(). Read TOKNMTR_URL/TOKNMTR_TOKEN from env. Make it runnable via 'node --experimental-strip-types agent/run.ts'. Print a concise summary (files scanned, events pushed).

Everything must be strict-TS clean. Reason carefully about types (you cannot run the project build here; the integration step will). Report via the schema.

=== toknmtr shared contract (ALL agents must obey) ===
Project: /home/megaproxy/claude/projects/toknmtr  (SvelteKit 2 / Svelte 5 / TS, adapter-node, better-sqlite3, Node 24).
Read CLAUDE.md and memory.md in the project root first. Read the files YOU own before editing.

ARCHITECTURE: a standalone TS agent (agent/) parses Claude Code JSONL transcripts and POSTs event batches to the
SvelteKit server's /api/ingest. The server stores everything in SQLite and serves a dashboard + FTS search.

DB SCHEMA is ALREADY DEFINED in src/lib/server/db.ts (tables: sessions, events, tool_calls, content, content_fts,
usage_gauges). Treat it as the source of truth. Only the INGEST agent may modify db.ts, and only ADDITIVELY
(CREATE TABLE IF NOT EXISTS / extra indexes) — never drop/rename existing columns. Everyone else reads it, never edits it.

WIRE FORMAT (agent -> server): POST JSON { events: ParsedEvent[] }. ParsedEvent is defined in agent/parse.ts.
The server upserts idempotently. Event PK = (host, session_id, uuid). Usage dedup key = (session_id, message_id, request_id):
mark exactly one row per that triple as is_usage_canonical=1 (the row with the max output_tokens / final assistant line).
Auth: header 'Authorization: Bearer <API_TOKEN>' (server reads env.API_TOKEN).

REAL JSONL LINE SHAPE (confirmed from a live transcript):
 - top-level keys: type ('user'|'assistant'|'system'|'summary'), uuid, parentUuid, timestamp (ISO), sessionId, cwd,
   gitBranch, version, isSidechain, userType, entrypoint, requestId (assistant only), promptId (user only).
 - message: { role, model (assistant), id (assistant message id), content, stop_reason, usage }.
 - usage: { input_tokens, output_tokens, cache_creation_input_tokens, cache_read_input_tokens,
   server_tool_use: { web_search_requests, web_fetch_requests } }. Assistant lines STREAM and repeat message.id 3-4x;
   each physical line still has a unique top-level uuid.
 - message.content is an array of blocks: {type:'text', text}, {type:'thinking', thinking}, {type:'tool_use', id, name, input},
   and on USER lines {type:'tool_result', tool_use_id, content, is_error}. content may also be a plain string (user typed prompt).
 - slash commands appear as user text wrapped like '<command-name>/foo</command-name>...' or '<command-message>'.

PRICING: src/lib/server/pricing.ts exports costFor(model, tokenCounts) and PRICING. Use it; do not duplicate rate tables.
Unknown/local models cost 0.

DECISIONS (do not relitigate):
 - Server port = 3001. Container name = toknmtr. SQLite at /data/toknmtr.db (mounted volume).
 - NO chart library. Dashboards use hand-rolled inline SVG + CSS only. Add ZERO new npm dependencies unless absolutely
   unavoidable; if you think you need one, instead implement without it.
 - DO NOT run git commit/push, npm install of new deps, or modify package.json — leave that to the orchestrator/integration step.
 - Keep everything strict-TypeScript clean (the repo runs 'npm run check' = svelte-check) and prettier-formatted
   (2-space indent, single quotes, semicolons, trailing-comma where prettier puts them).
 - Match the existing code style in the files you touch (look at db.ts / pricing.ts for the house style).


YOU OWN: src/lib/server/queries.ts (new), src/routes/api/stats/+server.ts (new). READ src/lib/server/db.ts and pricing.ts. Do NOT modify db.ts or any other file.

Build the read/query layer that the dashboard and search pages will import. Export well-typed functions from queries.ts, e.g.:
 - overviewStats(opts?): totals across events WHERE is_usage_canonical=1 — total input/output/cache tokens, total notional $ (use costFor per model), event count, session count, tool-call count, date range.
 - dailyUsage(days): per-day token totals + $ (group by date(ts_utc)), for a time-series chart. Return rows the dashboard can render as SVG bars.
 - usageByModel(): per-model token totals, $, share.
 - topTools(limit): tool_calls grouped by tool_name with count, error count, avg duration_ms, total result_bytes.
 - recentSessions(limit): sessions joined with their event/token/$ aggregates, newest first.
 - usageGauges(): latest row per host from usage_gauges (may be empty — handle gracefully).
 All $ computed via costFor() and is_usage_canonical=1 to avoid double-counting streamed rows.
 Use better-sqlite3 prepared statements. Define and export TS return types for each function.

src/routes/api/stats/+server.ts — a GET endpoint returning a JSON bundle of the above (read ?days=30). Read-only, no auth (LAN-only).

Strict-TS clean, prettier-formatted. Report via schema; in followups, list the exact exported function names + return-type names the dashboard/search should import.

=== toknmtr shared contract (ALL agents must obey) ===
Project: /home/megaproxy/claude/projects/toknmtr  (SvelteKit 2 / Svelte 5 / TS, adapter-node, better-sqlite3, Node 24).
Read CLAUDE.md and memory.md in the project root first. Read the files YOU own before editing.

ARCHITECTURE: a standalone TS agent (agent/) parses Claude Code JSONL transcripts and POSTs event batches to the
SvelteKit server's /api/ingest. The server stores everything in SQLite and serves a dashboard + FTS search.

DB SCHEMA is ALREADY DEFINED in src/lib/server/db.ts (tables: sessions, events, tool_calls, content, content_fts,
usage_gauges). Treat it as the source of truth. Only the INGEST agent may modify db.ts, and only ADDITIVELY
(CREATE TABLE IF NOT EXISTS / extra indexes) — never drop/rename existing columns. Everyone else reads it, never edits it.

WIRE FORMAT (agent -> server): POST JSON { events: ParsedEvent[] }. ParsedEvent is defined in agent/parse.ts.
The server upserts idempotently. Event PK = (host, session_id, uuid). Usage dedup key = (session_id, message_id, request_id):
mark exactly one row per that triple as is_usage_canonical=1 (the row with the max output_tokens / final assistant line).
Auth: header 'Authorization: Bearer <API_TOKEN>' (server reads env.API_TOKEN).

REAL JSONL LINE SHAPE (confirmed from a live transcript):
 - top-level keys: type ('user'|'assistant'|'system'|'summary'), uuid, parentUuid, timestamp (ISO), sessionId, cwd,
   gitBranch, version, isSidechain, userType, entrypoint, requestId (assistant only), promptId (user only).
 - message: { role, model (assistant), id (assistant message id), content, stop_reason, usage }.
 - usage: { input_tokens, output_tokens, cache_creation_input_tokens, cache_read_input_tokens,
   server_tool_use: { web_search_requests, web_fetch_requests } }. Assistant lines STREAM and repeat message.id 3-4x;
   each physical line still has a unique top-level uuid.
 - message.content is an array of blocks: {type:'text', text}, {type:'thinking', thinking}, {type:'tool_use', id, name, input},
   and on USER lines {type:'tool_result', tool_use_id, content, is_error}. content may also be a plain string (user typed prompt).
 - slash commands appear as user text wrapped like '<command-name>/foo</command-name>...' or '<command-message>'.

PRICING: src/lib/server/pricing.ts exports costFor(model, tokenCounts) and PRICING. Use it; do not duplicate rate tables.
Unknown/local models cost 0.

DECISIONS (do not relitigate):
 - Server port = 3001. Container name = toknmtr. SQLite at /data/toknmtr.db (mounted volume).
 - NO chart library. Dashboards use hand-rolled inline SVG + CSS only. Add ZERO new npm dependencies unless absolutely
   unavoidable; if you think you need one, instead implement without it.
 - DO NOT run git commit/push, npm install of new deps, or modify package.json — leave that to the orchestrator/integration step.
 - Keep everything strict-TypeScript clean (the repo runs 'npm run check' = svelte-check) and prettier-formatted
   (2-space indent, single quotes, semicolons, trailing-comma where prettier puts them).
 - Match the existing code style in the files you touch (look at db.ts / pricing.ts for the house style).


YOU OWN: src/routes/api/ingest/+server.ts, and src/lib/server/db.ts (ADDITIVE changes only). Do NOT touch any other file.

Replace the ingest STUB with a real idempotent upsert. The POST body is { events: ParsedEvent[] } (see agent/parse.ts for the
ParsedEvent / ToolCall / SessionMeta shapes — READ that file; the parser-agent is finalizing it in parallel, so code defensively:
treat every field as possibly undefined/null and coerce).

Implement, all inside ONE better-sqlite3 transaction per request:
 - Upsert sessions (PK host,session_id): INSERT ... ON CONFLICT update; widen started_at (min) / ended_at (max) from event timestamps.
 - Upsert events (PK host,session_id,uuid): ON CONFLICT DO UPDATE. Store all token columns, is_sidechain, is_usage_canonical, stop_reason, latency_ms, web_search/web_fetch.
 - Accept body = { events, toolCalls?, sessions? }. Upsert tool_calls (PK host,session_id,tool_use_id) if provided; derive sessions from events if not provided. Be flexible and document what you accept.
 - Write content + content_fts for events that have text (role user/assistant). Keep content_fts in sync: delete+insert the row on re-ingest so re-pushing the same uuid doesn't duplicate FTS rows (manual sync — standalone fts5 table).
 - Recompute is_usage_canonical server-side as a safety net if the agent didn't set it: for each (session_id,message_id,request_id) with usage, mark the max-output_tokens row =1, others =0. Trust the agent's flag if present.
 - Use prepared statements created once (module scope) for speed; wrap the batch in db().transaction(...).
 - Keep the Bearer-auth check. Return { ok, events, tool_calls, sessions } counts. Keep the GET health check.

Prefer NOT changing db.ts; if a column is genuinely needed add it additively. Strict-TS clean. Report via schema; in followups note the exact body shape you settled on so the parser-agent/integration can match.

=== toknmtr shared contract (ALL agents must obey) ===
Project: /home/megaproxy/claude/projects/toknmtr  (SvelteKit 2 / Svelte 5 / TS, adapter-node, better-sqlite3, Node 24).
Read CLAUDE.md and memory.md in the project root first. Read the files YOU own before editing.

ARCHITECTURE: a standalone TS agent (agent/) parses Claude Code JSONL transcripts and POSTs event batches to the
SvelteKit server's /api/ingest. The server stores everything in SQLite and serves a dashboard + FTS search.

DB SCHEMA is ALREADY DEFINED in src/lib/server/db.ts (tables: sessions, events, tool_calls, content, content_fts,
usage_gauges). Treat it as the source of truth. Only the INGEST agent may modify db.ts, and only ADDITIVELY
(CREATE TABLE IF NOT EXISTS / extra indexes) — never drop/rename existing columns. Everyone else reads it, never edits it.

WIRE FORMAT (agent -> server): POST JSON { events: ParsedEvent[] }. ParsedEvent is defined in agent/parse.ts.
The server upserts idempotently. Event PK = (host, session_id, uuid). Usage dedup key = (session_id, message_id, request_id):
mark exactly one row per that triple as is_usage_canonical=1 (the row with the max output_tokens / final assistant line).
Auth: header 'Authorization: Bearer <API_TOKEN>' (server reads env.API_TOKEN).

REAL JSONL LINE SHAPE (confirmed from a live transcript):
 - top-level keys: type ('user'|'assistant'|'system'|'summary'), uuid, parentUuid, timestamp (ISO), sessionId, cwd,
   gitBranch, version, isSidechain, userType, entrypoint, requestId (assistant only), promptId (user only).
 - message: { role, model (assistant), id (assistant message id), content, stop_reason, usage }.
 - usage: { input_tokens, output_tokens, cache_creation_input_tokens, cache_read_input_tokens,
   server_tool_use: { web_search_requests, web_fetch_requests } }. Assistant lines STREAM and repeat message.id 3-4x;
   each physical line still has a unique top-level uuid.
 - message.content is an array of blocks: {type:'text', text}, {type:'thinking', thinking}, {type:'tool_use', id, name, input},
   and on USER lines {type:'tool_result', tool_use_id, content, is_error}. content may also be a plain string (user typed prompt).
 - slash commands appear as user text wrapped like '<command-name>/foo</command-name>...' or '<command-message>'.

PRICING: src/lib/server/pricing.ts exports costFor(model, tokenCounts) and PRICING. Use it; do not duplicate rate tables.
Unknown/local models cost 0.

DECISIONS (do not relitigate):
 - Server port = 3001. Container name = toknmtr. SQLite at /data/toknmtr.db (mounted volume).
 - NO chart library. Dashboards use hand-rolled inline SVG + CSS only. Add ZERO new npm dependencies unless absolutely
   unavoidable; if you think you need one, instead implement without it.
 - DO NOT run git commit/push, npm install of new deps, or modify package.json — leave that to the orchestrator/integration step.
 - Keep everything strict-TypeScript clean (the repo runs 'npm run check' = svelte-check) and prettier-formatted
   (2-space indent, single quotes, semicolons, trailing-comma where prettier puts them).
 - Match the existing code style in the files you touch (look at db.ts / pricing.ts for the house style).


YOU OWN: src/routes/search/+page.svelte (new), src/routes/search/+page.server.ts (new), src/routes/api/search/+server.ts (new). Import from src/lib/server/db.ts (read-only). Do NOT touch the dashboard route or queries.ts.

Build the full-text searchable session archive over content_fts (fts5). Context from core build:
[parser-agent] Built the full toknmtr agent: agent/parse.ts now exports ParsedEvent, ToolCall, SessionMeta, a real parseLine() (flattens visible text, extracts tool_use/tool_result blocks, byte-length of results), and parseTranscript() which pairs tool_use with later tool_result (is_error/result_bytes/duration_ms), computes latency_ms for assistant lines via parentUuid timestamp deltas, and marks is_usage_canonical (one row per session_id+message_id+request_id group, max output_tokens tie-broken by latest timestamp). agent/cursor.ts is a new per-file byte-offset cursor persisted to ~/.toknmtr/cursors.json, with truncation/rotation detection (resets to 0 if a file shrank). agent/push.ts now defaults to http://192.168.1.249:3001 and exposes pushBatch({host, events, toolCalls, sessions}) which chunks events at 500/request and attaches toolCalls/sessions to the first chunk, matching the already-built /api/ingest contract (host?, events, toolCalls?, sessions?); pushEvents() kept as a thin back-compat wrapper. agent/run.ts is the new CLI entry (node --experimental-strip-types agent/run.ts [--once] [--backfill] [--interval=ms]): recursively walks TRANSCRIPT_ROOT excluding any path containing '/subagents/' and files named journal.jsonl, reads only newly-appended, complete-line-bounded bytes per file via cursor.ts, parses with parseTranscript, and pushes via pushBatch — cursors are only committed after a successful push so a server outage never loses data (verified end-to-end against real transcripts and a local stub HTTP server: incremental no-op when nothing changed, correct delta on append, full reparse on --backfill, correct reset on truncation, and cursor left untouched + non-zero exit when the server is unreachable). Verified against real JSONL transcripts (up to 2095 lines) for plausible event/tool-call/session counts. Typechecks clean with a standalone strict tsconfig (project's svelte-check only covers src/), and is prettier/eslint clean.
  files: agent/parse.ts, agent/cursor.ts, agent/push.ts, agent/run.ts
  followups: Integration step should confirm the ingest endpoint's response shape (currently { ok, events, tool_calls, sessions }) stays aligned with push.ts's IngestResponse parsing (parsed.events ?? parsed.received ?? 0). | Once a real server is deployed, run `node --experimental-strip-types agent/run.ts --backfill` once against the real ~/.claude/projects tree to seed the DB (per memory.md's 'one-time backfill: parse all 589 existing transcripts' TODO), then wire the recurring sweep into a hook/cron per memory.md's open TODO.
[ingest] Replaced the ingest stub at src/routes/api/ingest/+server.ts with a real idempotent upsert implementation, all wrapped in one better-sqlite3 transaction per request via module-scope prepared statements. It upserts sessions (PK host,session_id; widens started_at/ended_at via COALESCE(MIN/MAX(...))), events (PK host,session_id,uuid; full-overwrite ON CONFLICT DO UPDATE), tool_calls (PK host,session_id,tool_use_id; COALESCE-merge so a tool_use line and a later tool_result line in separate batches don't blank each other's fields), and content + content_fts (manual delete+insert per uuid so re-ingesting a line doesn't duplicate FTS rows). is_usage_canonical is trusted from the agent when the field is explicitly present on any row of a (session_id,message_id,request_id) group, otherwise recomputed server-side as a safety net (max-output_tokens row in that group across the whole DB wins). Did not touch db.ts — the existing schema already covered everything needed, no additive columns required. Verified with npm run check (0 errors), prettier/eslint clean, npm run build green, and isolated better-sqlite3 smoke tests of the session-widening, usage-canonical-recompute, and FTS-dedup-on-reingest SQL logic.

Settled wire/body shape (document this for the parser-agent and integration step): POST body = { host?: string, events: IncomingEvent[], toolCalls?: IncomingToolCall[], sessions?: IncomingSession[] }. `host` at top level is a fallback used only for entries that omit their own `host` field. `events` items mirror agent/parse.ts's ParsedEvent shape plus two extra optional fields the contract called for: `is_usage_canonical` (boolean/0|1 — presence, even `false`, marks that group as agent-flagged and skips server recompute) and `latency_ms` (number). `toolCalls` items: { host?, session_id, tool_use_id, event_uuid?, tool_name, input_json? | input? (object, JSON.stringify'd server-side if input_json absent), is_error?, result_bytes?, duration_ms?, ts_utc? }. `sessions` items: { host?, session_id, project?, git_branch?, cc_version?, entrypoint?, started_at?, ended_at? } — if omitted entirely, session rows are derived per (host,session_id) from min/max event ts_utc. Response: { ok: true, events: number, tool_calls: number, sessions: number } (counts of rows upserted from this batch). Auth and GET health check unchanged.
  files: src/routes/api/ingest/+server.ts
  followups: Parser-agent: confirm/align ParsedEvent (add is_usage_canonical?, latency_ms?) and add ToolCall/SessionMeta types in agent/parse.ts matching the IncomingToolCall/IncomingSession shapes documented in the ingest file's header comment. | agent/push.ts: wire it to POST { host, events, toolCalls, sessions } to /api/ingest with the Bearer token, matching this settled body shape. | Integration step: once the agent is pushing real data, smoke-test the live endpoint end-to-end (not just the isolated SQL tests done here) and confirm FTS search results look right via the content_fts table.
[query-stats] Built the read/query layer for the dashboard: src/lib/server/queries.ts exports six typed query functions (overviewStats, dailyUsage, usageByModel, topTools, recentSessions, usageGauges) using better-sqlite3 prepared statements over the existing schema, with $ always computed via costFor() per-model (grouped in SQL, costed in JS, never double-counted by gating on is_usage_canonical=1). src/routes/api/stats/+server.ts is a read-only GET endpoint (no auth, LAN-only) that bundles all six into one JSON response, reading ?days= (default 30). Verified with `npm run check` (0 errors), `npm run lint` (clean), and a standalone smoke test against a seeded SQLite DB exercising every raw SQL fragment + costFor — all returned correct shapes/values.
  files: src/lib/server/queries.ts, src/routes/api/stats/+server.ts
  followups: Dashboard route should import from '$lib/server/queries': OverviewStats/overviewStats(opts?: OverviewOpts), DailyUsageRow/dailyUsage(days), ModelUsageRow/usageByModel(), ToolUsageRow/topTools(limit), RecentSessionRow/recentSessions(limit), UsageGaugeRow/usageGauges(). | Dashboard can fetch everything in one call via GET /api/stats?days=30, which returns { days, overview, daily, byModel, topTools, recentSessions, gauges } matching those same types. | Search page (FTS) is unrelated to this task — it will need its own query function(s) over content_fts, not included here. | Other agents appear to be concurrently touching src/routes/api/ingest/+server.ts and adding agent/usage.ts (visible in git status) — not modified by me, just flagging for the integration step.
[usage-scraper] Implemented agent/usage.ts, a pure-Node port of claude-usage-widget's PTY-driven `claude /usage` scraper (no node-pty dependency). It picks a PTY-shim driver (`script -qfc claude /dev/null` preferred, `unbuffer claude` fallback, returns null if neither exists), spawns it, waits ~3.5s for the TUI to render, sends `/usage\r`, drains stdout/stderr until output is quiet for >1.2s or a 20s deadline trips, sends `/exit\r`, then SIGKILLs the child. The captured bytes are ANSI/CSI-stripped (stripAnsiCollapse, exported for testing) and the three rendered bars are parsed via the same `NN% used` regex/section-lookahead logic as the Rust reference. fetchUsageGauges() returns `{ host, ts_utc, session_pct, week_all_pct, week_sonnet_pct } | null` and never throws (try/catch wraps everything). A main()/import.meta.url guard lets it run standalone via `node --experimental-strip-types agent/usage.ts`.

This was verified end-to-end against the real, live `claude` CLI in this sandbox (not just unit-tested): captured raw PTY bytes from an actual `script`-driven `claude` session, confirmed the byte-level structure (bare `\r` + a now-stripped cursor-down escape in place of `\n`), adjusted the line-splitting accordingly (split on `\r\n`|`\r`|`\n`, not just `\n` like the Rust `str::lines()` does — documented why in the file header), and then ran `node --experimental-strip-types agent/usage.ts` twice, both times correctly returning real session/week percentages (e.g. session_pct: 7, week_all_pct: 23, week_sonnet_pct: null since that section wasn't rendered this run). Also passed a standalone strict `tsc --noEmit --strict` check and the repo's prettier/eslint (with two targeted `no-control-regex` disable comments for the intentional ANSI-stripping regexes).
  files: agent/usage.ts
  followups: Integration step: wire fetchUsageGauges() into agent/run.ts's main loop (e.g. call it once per run, and if non-null POST it to the server — likely a new ingest path/table write for usage_gauges, since /api/ingest's documented wire format is `{ events: ParsedEvent[] }` and usage gauges are a different shape from ParsedEvent). | Consider whether the server's ingest endpoint needs a small addition to accept an optional `usage_gauge` field alongside `events`, since usage_gauges (host, ts_utc, session_pct, week_all_pct, week_sonnet_pct) is a separate table from events/sessions/tool_calls/content per db.ts. | If deploying agent/usage.ts on a machine without `script` or `unbuffer` installed (e.g. a minimal container), this feature silently no-ops (returns null) — may want a one-time startup log/warning at the call site so it's not a silent permanent gap. | Cadence: the Rust widget refreshes every 5 minutes; agent/run.ts's integration should pick a similarly infrequent interval (NOT every JSONL-parse cycle) since each fetch takes ~5-9s wall-clock and spawns a real interactive `claude` session.

 - Put search-specific SQL in your own +page.server.ts / api/search/+server.ts using db() directly (do NOT edit queries.ts to avoid conflicts).
   Query content_fts MATCH ?, join back to content/events for context (session_id, role, ts_utc). Use fts5 snippet()/highlight() for excerpts.
 - src/routes/api/search/+server.ts: GET ?q=...&limit= -> JSON results with snippet, role, session_id, ts_utc. Sanitize the fts query (wrap user terms; handle empty q). Read-only, LAN-only.
 - src/routes/search/+page.server.ts: load() reads ?q and returns results.
 - src/routes/search/+page.svelte (Svelte 5 runes): a search box, result list with highlighted snippets, role/session/timestamp metadata. Match the dashboard dark theme (rely on shared CSS variables/classes the layout defines; keep component styles local).

Empty-DB safe. Strict-TS + prettier clean. Report via schema.

=== toknmtr shared contract (ALL agents must obey) ===
Project: /home/megaproxy/claude/projects/toknmtr  (SvelteKit 2 / Svelte 5 / TS, adapter-node, better-sqlite3, Node 24).
Read CLAUDE.md and memory.md in the project root first. Read the files YOU own before editing.

ARCHITECTURE: a standalone TS agent (agent/) parses Claude Code JSONL transcripts and POSTs event batches to the
SvelteKit server's /api/ingest. The server stores everything in SQLite and serves a dashboard + FTS search.

DB SCHEMA is ALREADY DEFINED in src/lib/server/db.ts (tables: sessions, events, tool_calls, content, content_fts,
usage_gauges). Treat it as the source of truth. Only the INGEST agent may modify db.ts, and only ADDITIVELY
(CREATE TABLE IF NOT EXISTS / extra indexes) — never drop/rename existing columns. Everyone else reads it, never edits it.

WIRE FORMAT (agent -> server): POST JSON { events: ParsedEvent[] }. ParsedEvent is defined in agent/parse.ts.
The server upserts idempotently. Event PK = (host, session_id, uuid). Usage dedup key = (session_id, message_id, request_id):
mark exactly one row per that triple as is_usage_canonical=1 (the row with the max output_tokens / final assistant line).
Auth: header 'Authorization: Bearer <API_TOKEN>' (server reads env.API_TOKEN).

REAL JSONL LINE SHAPE (confirmed from a live transcript):
 - top-level keys: type ('user'|'assistant'|'system'|'summary'), uuid, parentUuid, timestamp (ISO), sessionId, cwd,
   gitBranch, version, isSidechain, userType, entrypoint, requestId (assistant only), promptId (user only).
 - message: { role, model (assistant), id (assistant message id), content, stop_reason, usage }.
 - usage: { input_tokens, output_tokens, cache_creation_input_tokens, cache_read_input_tokens,
   server_tool_use: { web_search_requests, web_fetch_requests } }. Assistant lines STREAM and repeat message.id 3-4x;
   each physical line still has a unique top-level uuid.
 - message.content is an array of blocks: {type:'text', text}, {type:'thinking', thinking}, {type:'tool_use', id, name, input},
   and on USER lines {type:'tool_result', tool_use_id, content, is_error}. content may also be a plain string (user typed prompt).
 - slash commands appear as user text wrapped like '<command-name>/foo</command-name>...' or '<command-message>'.

PRICING: src/lib/server/pricing.ts exports costFor(model, tokenCounts) and PRICING. Use it; do not duplicate rate tables.
Unknown/local models cost 0.

DECISIONS (do not relitigate):
 - Server port = 3001. Container name = toknmtr. SQLite at /data/toknmtr.db (mounted volume).
 - NO chart library. Dashboards use hand-rolled inline SVG + CSS only. Add ZERO new npm dependencies unless absolutely
   unavoidable; if you think you need one, instead implement without it.
 - DO NOT run git commit/push, npm install of new deps, or modify package.json — leave that to the orchestrator/integration step.
 - Keep everything strict-TypeScript clean (the repo runs 'npm run check' = svelte-check) and prettier-formatted
   (2-space indent, single quotes, semicolons, trailing-comma where prettier puts them).
 - Match the existing code style in the files you touch (look at db.ts / pricing.ts for the house style).


YOU OWN: src/routes/+page.svelte, src/routes/+page.server.ts (new), src/routes/+layout.svelte. Do NOT touch the search route or any agent/ or server lib file except IMPORTING from src/lib/server/queries.ts.

Build the main analytics dashboard. The query layer is already built — import functions from src/lib/server/queries.ts (READ it for exact names/types).
Context from the core build:
[parser-agent] Built the full toknmtr agent: agent/parse.ts now exports ParsedEvent, ToolCall, SessionMeta, a real parseLine() (flattens visible text, extracts tool_use/tool_result blocks, byte-length of results), and parseTranscript() which pairs tool_use with later tool_result (is_error/result_bytes/duration_ms), computes latency_ms for assistant lines via parentUuid timestamp deltas, and marks is_usage_canonical (one row per session_id+message_id+request_id group, max output_tokens tie-broken by latest timestamp). agent/cursor.ts is a new per-file byte-offset cursor persisted to ~/.toknmtr/cursors.json, with truncation/rotation detection (resets to 0 if a file shrank). agent/push.ts now defaults to http://192.168.1.249:3001 and exposes pushBatch({host, events, toolCalls, sessions}) which chunks events at 500/request and attaches toolCalls/sessions to the first chunk, matching the already-built /api/ingest contract (host?, events, toolCalls?, sessions?); pushEvents() kept as a thin back-compat wrapper. agent/run.ts is the new CLI entry (node --experimental-strip-types agent/run.ts [--once] [--backfill] [--interval=ms]): recursively walks TRANSCRIPT_ROOT excluding any path containing '/subagents/' and files named journal.jsonl, reads only newly-appended, complete-line-bounded bytes per file via cursor.ts, parses with parseTranscript, and pushes via pushBatch — cursors are only committed after a successful push so a server outage never loses data (verified end-to-end against real transcripts and a local stub HTTP server: incremental no-op when nothing changed, correct delta on append, full reparse on --backfill, correct reset on truncation, and cursor left untouched + non-zero exit when the server is unreachable). Verified against real JSONL transcripts (up to 2095 lines) for plausible event/tool-call/session counts. Typechecks clean with a standalone strict tsconfig (project's svelte-check only covers src/), and is prettier/eslint clean.
  files: agent/parse.ts, agent/cursor.ts, agent/push.ts, agent/run.ts
  followups: Integration step should confirm the ingest endpoint's response shape (currently { ok, events, tool_calls, sessions }) stays aligned with push.ts's IngestResponse parsing (parsed.events ?? parsed.received ?? 0). | Once a real server is deployed, run `node --experimental-strip-types agent/run.ts --backfill` once against the real ~/.claude/projects tree to seed the DB (per memory.md's 'one-time backfill: parse all 589 existing transcripts' TODO), then wire the recurring sweep into a hook/cron per memory.md's open TODO.
[ingest] Replaced the ingest stub at src/routes/api/ingest/+server.ts with a real idempotent upsert implementation, all wrapped in one better-sqlite3 transaction per request via module-scope prepared statements. It upserts sessions (PK host,session_id; widens started_at/ended_at via COALESCE(MIN/MAX(...))), events (PK host,session_id,uuid; full-overwrite ON CONFLICT DO UPDATE), tool_calls (PK host,session_id,tool_use_id; COALESCE-merge so a tool_use line and a later tool_result line in separate batches don't blank each other's fields), and content + content_fts (manual delete+insert per uuid so re-ingesting a line doesn't duplicate FTS rows). is_usage_canonical is trusted from the agent when the field is explicitly present on any row of a (session_id,message_id,request_id) group, otherwise recomputed server-side as a safety net (max-output_tokens row in that group across the whole DB wins). Did not touch db.ts — the existing schema already covered everything needed, no additive columns required. Verified with npm run check (0 errors), prettier/eslint clean, npm run build green, and isolated better-sqlite3 smoke tests of the session-widening, usage-canonical-recompute, and FTS-dedup-on-reingest SQL logic.

Settled wire/body shape (document this for the parser-agent and integration step): POST body = { host?: string, events: IncomingEvent[], toolCalls?: IncomingToolCall[], sessions?: IncomingSession[] }. `host` at top level is a fallback used only for entries that omit their own `host` field. `events` items mirror agent/parse.ts's ParsedEvent shape plus two extra optional fields the contract called for: `is_usage_canonical` (boolean/0|1 — presence, even `false`, marks that group as agent-flagged and skips server recompute) and `latency_ms` (number). `toolCalls` items: { host?, session_id, tool_use_id, event_uuid?, tool_name, input_json? | input? (object, JSON.stringify'd server-side if input_json absent), is_error?, result_bytes?, duration_ms?, ts_utc? }. `sessions` items: { host?, session_id, project?, git_branch?, cc_version?, entrypoint?, started_at?, ended_at? } — if omitted entirely, session rows are derived per (host,session_id) from min/max event ts_utc. Response: { ok: true, events: number, tool_calls: number, sessions: number } (counts of rows upserted from this batch). Auth and GET health check unchanged.
  files: src/routes/api/ingest/+server.ts
  followups: Parser-agent: confirm/align ParsedEvent (add is_usage_canonical?, latency_ms?) and add ToolCall/SessionMeta types in agent/parse.ts matching the IncomingToolCall/IncomingSession shapes documented in the ingest file's header comment. | agent/push.ts: wire it to POST { host, events, toolCalls, sessions } to /api/ingest with the Bearer token, matching this settled body shape. | Integration step: once the agent is pushing real data, smoke-test the live endpoint end-to-end (not just the isolated SQL tests done here) and confirm FTS search results look right via the content_fts table.
[query-stats] Built the read/query layer for the dashboard: src/lib/server/queries.ts exports six typed query functions (overviewStats, dailyUsage, usageByModel, topTools, recentSessions, usageGauges) using better-sqlite3 prepared statements over the existing schema, with $ always computed via costFor() per-model (grouped in SQL, costed in JS, never double-counted by gating on is_usage_canonical=1). src/routes/api/stats/+server.ts is a read-only GET endpoint (no auth, LAN-only) that bundles all six into one JSON response, reading ?days= (default 30). Verified with `npm run check` (0 errors), `npm run lint` (clean), and a standalone smoke test against a seeded SQLite DB exercising every raw SQL fragment + costFor — all returned correct shapes/values.
  files: src/lib/server/queries.ts, src/routes/api/stats/+server.ts
  followups: Dashboard route should import from '$lib/server/queries': OverviewStats/overviewStats(opts?: OverviewOpts), DailyUsageRow/dailyUsage(days), ModelUsageRow/usageByModel(), ToolUsageRow/topTools(limit), RecentSessionRow/recentSessions(limit), UsageGaugeRow/usageGauges(). | Dashboard can fetch everything in one call via GET /api/stats?days=30, which returns { days, overview, daily, byModel, topTools, recentSessions, gauges } matching those same types. | Search page (FTS) is unrelated to this task — it will need its own query function(s) over content_fts, not included here. | Other agents appear to be concurrently touching src/routes/api/ingest/+server.ts and adding agent/usage.ts (visible in git status) — not modified by me, just flagging for the integration step.
[usage-scraper] Implemented agent/usage.ts, a pure-Node port of claude-usage-widget's PTY-driven `claude /usage` scraper (no node-pty dependency). It picks a PTY-shim driver (`script -qfc claude /dev/null` preferred, `unbuffer claude` fallback, returns null if neither exists), spawns it, waits ~3.5s for the TUI to render, sends `/usage\r`, drains stdout/stderr until output is quiet for >1.2s or a 20s deadline trips, sends `/exit\r`, then SIGKILLs the child. The captured bytes are ANSI/CSI-stripped (stripAnsiCollapse, exported for testing) and the three rendered bars are parsed via the same `NN% used` regex/section-lookahead logic as the Rust reference. fetchUsageGauges() returns `{ host, ts_utc, session_pct, week_all_pct, week_sonnet_pct } | null` and never throws (try/catch wraps everything). A main()/import.meta.url guard lets it run standalone via `node --experimental-strip-types agent/usage.ts`.

This was verified end-to-end against the real, live `claude` CLI in this sandbox (not just unit-tested): captured raw PTY bytes from an actual `script`-driven `claude` session, confirmed the byte-level structure (bare `\r` + a now-stripped cursor-down escape in place of `\n`), adjusted the line-splitting accordingly (split on `\r\n`|`\r`|`\n`, not just `\n` like the Rust `str::lines()` does — documented why in the file header), and then ran `node --experimental-strip-types agent/usage.ts` twice, both times correctly returning real session/week percentages (e.g. session_pct: 7, week_all_pct: 23, week_sonnet_pct: null since that section wasn't rendered this run). Also passed a standalone strict `tsc --noEmit --strict` check and the repo's prettier/eslint (with two targeted `no-control-regex` disable comments for the intentional ANSI-stripping regexes).
  files: agent/usage.ts
  followups: Integration step: wire fetchUsageGauges() into agent/run.ts's main loop (e.g. call it once per run, and if non-null POST it to the server — likely a new ingest path/table write for usage_gauges, since /api/ingest's documented wire format is `{ events: ParsedEvent[] }` and usage gauges are a different shape from ParsedEvent). | Consider whether the server's ingest endpoint needs a small addition to accept an optional `usage_gauge` field alongside `events`, since usage_gauges (host, ts_utc, session_pct, week_all_pct, week_sonnet_pct) is a separate table from events/sessions/tool_calls/content per db.ts. | If deploying agent/usage.ts on a machine without `script` or `unbuffer` installed (e.g. a minimal container), this feature silently no-ops (returns null) — may want a one-time startup log/warning at the call site so it's not a silent permanent gap. | Cadence: the Rust widget refreshes every 5 minutes; agent/run.ts's integration should pick a similarly infrequent interval (NOT every JSONL-parse cycle) since each fetch takes ~5-9s wall-clock and spawns a real interactive `claude` session.

 - src/routes/+page.server.ts: a load() that calls the queries.ts functions (overview, dailyUsage(30), usageByModel, topTools, recentSessions) and returns them. Server-only.
 - src/routes/+page.svelte (Svelte 5 runes — use $props()/$derived, NOT stores): render a polished dark dashboard:
     * Top stat cards: total $ (notional), total tokens, sessions, events, tool calls.
     * A daily-usage time-series as HAND-ROLLED inline SVG bars/area (NO chart lib), last 30 days.
     * Per-model breakdown (horizontal SVG/CSS bars with share %).
     * Top tools table (name, count, error %, avg ms).
     * Recent sessions list (project, branch, when, tokens, $).
   Make it genuinely nice: tasteful dark theme, good spacing, monospace numbers, subtle borders. A real dashboard the user looks at daily.
 - src/routes/+layout.svelte: global styles / shell (nav link to '/' and '/search'), dark theme CSS variables.

Empty-DB safe (all numbers default to 0, no crashes). Strict-TS + prettier clean. Distinctive, not generic. Report via schema.

=== toknmtr shared contract (ALL agents must obey) ===
Project: /home/megaproxy/claude/projects/toknmtr  (SvelteKit 2 / Svelte 5 / TS, adapter-node, better-sqlite3, Node 24).
Read CLAUDE.md and memory.md in the project root first. Read the files YOU own before editing.

ARCHITECTURE: a standalone TS agent (agent/) parses Claude Code JSONL transcripts and POSTs event batches to the
SvelteKit server's /api/ingest. The server stores everything in SQLite and serves a dashboard + FTS search.

DB SCHEMA is ALREADY DEFINED in src/lib/server/db.ts (tables: sessions, events, tool_calls, content, content_fts,
usage_gauges). Treat it as the source of truth. Only the INGEST agent may modify db.ts, and only ADDITIVELY
(CREATE TABLE IF NOT EXISTS / extra indexes) — never drop/rename existing columns. Everyone else reads it, never edits it.

WIRE FORMAT (agent -> server): POST JSON { events: ParsedEvent[] }. ParsedEvent is defined in agent/parse.ts.
The server upserts idempotently. Event PK = (host, session_id, uuid). Usage dedup key = (session_id, message_id, request_id):
mark exactly one row per that triple as is_usage_canonical=1 (the row with the max output_tokens / final assistant line).
Auth: header 'Authorization: Bearer <API_TOKEN>' (server reads env.API_TOKEN).

REAL JSONL LINE SHAPE (confirmed from a live transcript):
 - top-level keys: type ('user'|'assistant'|'system'|'summary'), uuid, parentUuid, timestamp (ISO), sessionId, cwd,
   gitBranch, version, isSidechain, userType, entrypoint, requestId (assistant only), promptId (user only).
 - message: { role, model (assistant), id (assistant message id), content, stop_reason, usage }.
 - usage: { input_tokens, output_tokens, cache_creation_input_tokens, cache_read_input_tokens,
   server_tool_use: { web_search_requests, web_fetch_requests } }. Assistant lines STREAM and repeat message.id 3-4x;
   each physical line still has a unique top-level uuid.
 - message.content is an array of blocks: {type:'text', text}, {type:'thinking', thinking}, {type:'tool_use', id, name, input},
   and on USER lines {type:'tool_result', tool_use_id, content, is_error}. content may also be a plain string (user typed prompt).
 - slash commands appear as user text wrapped like '<command-name>/foo</command-name>...' or '<command-message>'.

PRICING: src/lib/server/pricing.ts exports costFor(model, tokenCounts) and PRICING. Use it; do not duplicate rate tables.
Unknown/local models cost 0.

DECISIONS (do not relitigate):
 - Server port = 3001. Container name = toknmtr. SQLite at /data/toknmtr.db (mounted volume).
 - NO chart library. Dashboards use hand-rolled inline SVG + CSS only. Add ZERO new npm dependencies unless absolutely
   unavoidable; if you think you need one, instead implement without it.
 - DO NOT run git commit/push, npm install of new deps, or modify package.json — leave that to the orchestrator/integration step.
 - Keep everything strict-TypeScript clean (the repo runs 'npm run check' = svelte-check) and prettier-formatted
   (2-space indent, single quotes, semicolons, trailing-comma where prettier puts them).
 - Match the existing code style in the files you touch (look at db.ts / pricing.ts for the house style).


YOU OWN: agent/hooks/ (new dir with shell scripts), ops/ (new dir for capture docs + scripts), and a section appended to README.md.
Do NOT modify ~/.claude/settings.json yourself — PREPARE everything and write an installer script + the exact JSON snippet; the deploy/orchestrator
step decides whether to install it live. Do NOT touch src/ or other agent/*.ts files.

Wire up capture so the agent runs automatically:
 - agent/hooks/toknmtr-capture.sh: a fail-open, fast, BACKGROUNDED hook that runs the agent incremental push. It must:
     * never block/slow the Claude session: run the node command detached (nohup ... &) with a short timeout, always exit 0.
     * cd to the toknmtr project, run 'node --experimental-strip-types agent/run.ts --once' with TOKNMTR_URL/TOKNMTR_TOKEN from a config file (~/.toknmtr/env) so secrets aren't in settings.json.
 - ops/install-hook.sh: idempotently registers the hook in ~/.claude/settings.json under the right hook event. RESEARCH which event fits (memory.md debates 'Stop' vs 'SessionEnd'). Recommend 'Stop' (fires each turn => near-live) and explain the tradeoff in comments. MERGE into existing settings.json (jq or node) without clobbering other hooks; be reversible (print how to remove). Also ops/install-cron.sh: a crontab line running '--once' every ~10 min as a reconcile sweep.
 - Document the capture story + the ~/.toknmtr/env format (TOKNMTR_URL, TOKNMTR_TOKEN) + backfill ('agent/run.ts --backfill') in ops/README.md or appended to README.md.
 - Put the exact settings.json hook JSON snippet in your report's followups so the orchestrator can review before any live install.

Shell scripts robust (set -euo pipefail where appropriate, but the capture hook itself must never fail the session). Report via schema.