DeepSeek Harness Usage
A local-first DeepSeek Harness plugin for token usage, estimated model cost, trends, and a GitHub-style activity heatmap.
Status: MVP supporting the DSH 0.1.5-rc.2 main-panel API, with a legacy navigation fallback for 0.1.1-rc.2. The plugin is read-only: the durable Harness session log remains the single source of truth and no parallel telemetry database is created.
Dark-theme DeepSeek Harness Usage dashboard with sanitized demonstration data
Rendered by the real plugin UI with deterministic demonstration data; no personal usage is shown.
What works
- Full Usage workspace opened from the main sidebar.
- 30-day, 90-day, one-year, and all-time ranges.
- Clearly separated API estimates, Codex API equivalents, and unavailable actual charges, alongside tokens, calls, sessions, and active days.
- Interactive trend chart for tokens, estimated cost, or calls, with pointer and keyboard tooltips.
- Circular SVG input/output/cache token mix with separate compact-number units and a responsive legend.
- Labels, numbers, USD formatting, dates, and sorting follow the Web UI language (
<html lang>, maintained by DSH), not the browser's unrelated locale. English and Simplified Chinese match DSH's built-in languages; missing/unsupported languages fall back consistently to English. Language changes update the open panel and sidebar without resetting filters or refetching usage. Session titles and route IDs are never translated.
- Interactive 365-day activity heatmap with token/cost/call color modes, quartile intensity levels, and per-day details.
- Per-provider/model usage, session count, call count, token volume, and estimated cost.
- Browser timezone-aware day grouping.
- Background scanning at Host startup and periodically thereafter, without opening Usage.
- Revision-aware caching skips unchanged sessions. Legacy persistence supports disk-checkpoint reuse after a Host restart; the current handle API is revalidated by reading sessions again because its revisions are only comparable within one service instance.
- Nonblocking dashboard reads with progressive scan status, automatic polling, and bounded in-memory aggregate caching.
- Responsive light/dark UI built on the supported DSH sidebar and center-workspace slots.
- Native main-panel navigation on current DSH, with a legacy conversation-slot fallback for older versions.
Install
Requirements: Node.js 22+ and a working dsh web profile.
From npm:
dsh plugin --profile web add @syncended/dsh-usage
Or from this checkout:
pnpm install
pnpm check
dsh plugin --profile web add .
The package declares a DSH bundle, so dsh plugin appends it to the Web profile automatically. Restart the running dsh web process after installing or upgrading, refresh the existing page, and open Usage from the sidebar. The browser client reads the same Host through a package-owned same-origin endpoint; no separate URL, token, telemetry service, or plugin-specific environment variable is required.
To remove it:
dsh plugin --profile web remove @syncended/dsh-usage
Pricing
Token-rate estimates are not payment records. The dashboard distinguishes:
- API estimate: token-rate estimates for non-Codex providers, including DeepSeek and custom gateways. These are still estimates, not confirmed charges.
- Codex API equivalent: the hypothetical token-rate cost for the
openai-codex provider. It is not an additional subscription charge; subscription fees and quotas cannot be reconstructed from these logs.
- Actual charges: unavailable. The plugin does not import invoices or payment records; unknown charges must never be displayed as
$0.
Classification uses the provider route (case-insensitive openai-codex), not the model name. A corporate gateway serving a GPT model is not automatically classified as subscription usage. This is a display convention, not a claim about the account's billing arrangement. Configured rates remain estimates too.
For compatibility, API cost fields retain the combined token-rate estimate. Summary/session rows additionally expose apiEstimateCost, subscriptionEquivalentCost, and actualCost: null; model rows expose costKind. The two estimate components sum to cost. Charts and sorting by API equivalent use the combined estimate, never actual spending.
Cost is an estimate derived from provider-reported token buckets and USD-per-million-token rules. The built-in catalog has a 2026-08-26 UTC baseline, with DeepSeek V4.1 Flash rates updated for the 2026-09-10 04:00 UTC transition, and contains 132 price/tier entries compiled into provider-route rules and model-name fallback rules for OpenAI GPT, Anthropic Claude, Google Gemini, DeepSeek, Z.AI GLM, Moonshot/Kimi, xAI Grok, Mistral, Cohere, Alibaba Qwen, and MiniMax.
See the complete generated catalog for every model, price, condition, caveat, and official source URL. The engine handles prompt-length tiers and DeepSeek's recurring UTC peak/off-peak windows. It deliberately does not guess broad future model families: a route without a matching rule remains visible as UNPRICED and is excluded from the API-equivalent estimate, while the dashboard reports pricing coverage.
Built-in rules try known provider/model routes first, then model-name fallbacks such as */glm-5.3. A corporate or custom provider with a recognized model ID therefore gets a public first-party list-price estimate, not its actual negotiated bill. Provider names and model names in the statistics are preserved. Matching is case-insensitive; unknown model IDs are not guessed or renamed. All context tiers, validity dates, and UTC schedules also apply to fallbacks. A custom pricing array replaces the entire catalog (including fallbacks), so explicit corporate rates or an empty array remain authoritative.
Rules are matched in order against provider/model; * is the only route wildcard. Prompt tiers use minPromptTokens / maxPromptTokens, while known promotions and retirements use inclusive validFrom / exclusive validTo ISO-8601 instants. Calls outside a known validity interval remain unpriced rather than silently inheriting an expired rate.
Pricing changes over time, and batch/flex/priority service tiers, regional uplifts, negotiated rates, subscription plans, tool fees, and cache-storage duration may not map to token billing, so override the catalog for your environment when necessary. Current rules without an explicit validity interval remain current-list-price estimates rather than a historical invoice reconstruction. In particular, GPT-5.6 Sol uses its published rates for older sessions too: the catalog verification date is not a price start date, and “at least through November 21” is not a confirmed expiry.
To override pricing or scan behavior, edit the existing usage row in $DSH_HOME/profiles/web/cordis.patch.yml; do not add a duplicate row with the same id. Restart the Host after changing it:
- id: usage
config:
scanConcurrency: 2
scanBatchSize: 32
refreshIntervalSeconds: 60
# Optional; by default $DSH_HOME/cache/usage/checkpoint.json (~/.dsh fallback).
# Set to "" to disable disk caching, or use a distinct absolute path per store/profile.
# cachePath: /absolute/path/to/usage-checkpoint.json
pricing:
- route: openai-codex/gpt-5.6-sol
minPromptTokens: 272000
input: 8
output: 30
cacheRead: 0.8
cacheWrite: 10
- route: openai-codex/gpt-5.6-sol
maxPromptTokens: 271999
input: 4
output: 20
cacheRead: 0.4
cacheWrite: 5
- route: my-provider/private-model
input: 0.8
output: 3.2
cacheRead: 0.08
cacheWrite: 0.8
All amounts are USD per one million tokens. Reasoning tokens are already included in the provider's output bucket and are not counted again.
Session analytics
The Sessions table shows token buckets, separate API estimates and Codex API equivalents, pricing coverage, model count, and calls for each session in the selected date range. Expand a session to see each provider/model's own tokens, calls, and estimate: a mixed session's total is not attributed to its first listed model. API session rows include a models breakdown that reconciles with the session total.
Search by title, session ID, or provider/model route; sort by API equivalent, tokens, calls, or title. Group sessions by their exact title to compare repeated tasks, or by creation day. Groups can be expanded to inspect their individual sessions and model breakdowns. Search filters sessions before grouping, so group totals reflect only matching sessions. Token totals include repeated reads of cached context across calls, not just unique text.
Titles come from saved session metadata, never reconstructed from prompts. Upgrading to session analytics invalidates the older title-less checkpoint (schema v1); the first scan rebuilds it as v2, so totals may initially be partial. Untitled sessions use Session <id>. Renames appear after the next confirmed scan. Costs and tokens include only calls inside the selected range, even when the session was created earlier; grouping by creation day does not change that usage window. Unknown prices remain UNPRICED or partially priced, including inside groups.
Data semantics
- At plugin startup the Host lists sessions through
ctx.sessionPersistence.list() on current DSH, or listSnapshots() on legacy DSH. The legacy API can reuse a disk checkpoint after its source-qualified revisions match the current store. Current handle-API revisions are only comparable within one service instance, so sessions are read again after restart rather than trusting an old checkpoint.
- New or changed sessions are processed in batches (32 sessions, at most 2 concurrent reads by default). Results are published only after a second revision listing confirms them. The first batch is confirmed promptly; subsequent fast batches share a confirmation roughly every 5 seconds and at pass completion, avoiding a full metadata listing for every small batch. Unchanged sessions are skipped entirely. Changed sessions are currently reread from sequence zero, rather than folding an event suffix; this remains safe across source changes and log repairs. The persistence capability handles JSONL, compressed JSONL, SQLite, or another backend.
- Current DSH reads use
open(id, 'read'), handle.read(), and handle.close(); legacy DSH uses readFrom(). Read handles are always closed, including after errors or cancellation. Fork-inherited events are excluded using handle.inheritedEventCount on current DSH or the legacy header's seedLength. Usage chunks and final assistant-message usage are folded with one last-wins sample per (turn, step), matching Harness token-meter semantics.
- The exact provider/model route comes from request headers, request context, or the final model message source.
GET /api/usage returns the latest in-memory aggregate immediately, without waiting for persistence reads. Optional scan metadata reports initialization, background activity, pending/cached/total session counts, last completed scan time, and listing failure. Prompts, tool arguments, and message content are never returned.
A new pass starts 60 seconds after the previous pass completes (refreshIntervalSeconds, 5–86400 seconds); scans never overlap. Work yields between reads/batches, and unloading the plugin cancels pending work and its timer. Completed batches become visible progressively. While the dashboard is visible it polls every 2 seconds during scanning/initialization and every 30 seconds otherwise; Refresh retrieves the latest cached result, not a forced full scan.
Current DSH's finalized assistant/message usage is supported. Usage found only inside an assistant/attempt embedded stream is not yet included; totals are not an invoice reconstruction.
On the first run without a valid checkpoint, totals are explicitly partial until indexing catches up. Active sessions whose revisions change during a read are retried on the next pass; read failures retain the last in-memory values when available. Deleted sessions are removed when the next listing observes them. A listing failure retains the previous projection and is reported in the UI.
Checkpoints are a disposable, versioned JSON projection, atomically replaced after confirmed batches (at most once per 5 seconds during scanning), at pass completion, and on clean shutdown when dirty. They live at $DSH_HOME/cache/usage/checkpoint.json (default home: ~/.dsh); cachePath: "" disables disk caching. Corrupt/incompatible checkpoints are ignored and rebuilt; write failures only disable persistence of the current update, not analytics. No checkpoint rewrite occurs for an unchanged scan. Use distinct cachePath values for multiple Hosts/profiles using different stores to avoid competing checkpoint writes. To reset the cache, stop the Host and delete that file.
Only usage records and revisions are persisted, not pricing or timezone-specific aggregates. Pricing changes therefore take effect after restarting with the new configuration; legacy checkpoint reuse avoids rescanning unchanged logs, while current DSH revalidates them as described above. A small in-memory aggregate cache is invalidated on projection changes and local-day rollover.
Privacy and security
- No analytics leave the Harness host.
- No external telemetry or pricing requests are made.
- The HTTP API is same-origin and read-only.
- API output contains dates, route names, token counts, call/session counts, estimated costs, aggregate read-error count, and background scan status. Session analytics additionally exposes session IDs, saved titles, and creation times to the same-origin dashboard. Titles may themselves contain user-provided sensitive text; prompts, responses, and workspace paths are not included.
- The local checkpoint contains session IDs, saved titles, source-qualified revisions, timestamps, model routes, and token buckets only. It excludes workspace paths and conversation content; backend-owned opaque revisions may themselves encode storage identity. New cache directories are private (
0700) and checkpoint files use 0600 on POSIX.
Development
pnpm install
pnpm check
npm pack --dry-run
The host plugin is strict TypeScript compiled to dist/. The external Web Client Plugin is a ready lazy-CJS module in lib/client.js, so it does not depend on unpublished DSH monorepo frontend tooling.
License
MIT
