Per-model token cost tracking with configurable cache-hit/miss, output and peak-window pricing, a live session cost bar, and unconfigured-model flags.
Install
# from GitHub (first run asks for allowBuilds approval — follow the hint, retry)
dsh plugin --profile web add github:yflmq001/dsh-cost-tracker
GitHub-sourced plugins run build scripts on your machine at install time. Only install sources you trust, and pin a commit (github:owner/repo#sha).
README
🇨🇳 中文说明
Token cost tracking for DeepSeek Harness, with per-model configurable pricing and peak/off-peak rates.
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What it does
- Prices every finalized LLM call (
assistant/messageusage) against a per-model pricing table you configure — cache-hit / cache-miss input, output, and optional peak-window rates. - Publishes a per-session
costprojection (total / peak / off-peak / per-model), consumed by the Web UI to show a live session cost readout. - Flags calls that land in a configured peak window.
- Models without a pricing entry are surfaced as "unconfigured" with a placeholder, so you know to add them.
Installation
Install into a dsh profile straight from GitHub — the plugin ships a
dsh.bundle layer, so dsh plugin add enables it automatically:
dsh plugin --profile web add github:yflmq001/dsh-cost-tracker
Pricing starts empty (models: {}); fill in your models under the plugin's
config (see below). To override defaults, add a cost-tracker row to the
profile's own cordis.patch.yml — later layers win by row id.
The cross-session bill persists through dsh's storage domain; a profile without a storage backend keeps the bill in memory only.
Configuration
Pricing lives under the plugin's config (Schemastery-validated). All prices are currency units per million tokens; you fill them in manually (no scraping).
- name: 'dsh-cost-tracker'
config:
models:
deepseek-v4-flash:
inputMiss: 1.0 # cache-miss input
inputHit: 0.02 # cache-hit input (omit if no cache tier)
output: 2.0
peak: # peak tier: hours + toggle + prices
hours: ["09:00-12:00", "14:00-18:00"] # Beijing time
enabled: true # false = peak off (base rates always); omit = on
inputMiss: 3.0
inputHit: 0.10
output: 9.0
gpt-4o: # any model the harness can reach
inputMiss: 2.5
output: 10.0
Session projection
The plugin registers the cost projection:
{
totalCost, peakCost, offpeakCost,
callCount, unconfiguredCalls, unconfiguredModels,
byModel: { [model]: { inputHit, inputMiss, output, total } },
}
Cache writes are priced at the miss rate (providers bill the write at the miss tier; the written tokens become cache hits on a later call).
Billing correctness
Two choices keep the numbers honest:
- Cache writes are billed at the miss rate, not the hit rate. Providers charge cache writes at the cache-miss input tier (e.g. DeepSeek $0.14/M vs $0.0028/M hit) — pricing a write as a hit undercounts by ~50x whenever a session writes fresh context. Some cost plugins fold cache writes into the hit bucket; this plugin does not.
- Unknown models are never silently priced. A model with no pricing entry is surfaced as "unconfigured" with a placeholder in the projection and UI, so a guessed default can't hide in your bill. You add the price, or you see the gap.
Known Limitations and Deferred Work
- Per-session cost is a projection over the durable log (replayed); the
cross-session global bill and
/costcommand are available. - Non-DeepSeek models need their pricing filled in manually; there is no automatic price lookup.
- Developer preview:
assistant/message.usageis absent when the adapter reports no accounting, and the session format has no compatibility promise.
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