31 lines
1.4 KiB
Markdown
31 lines
1.4 KiB
Markdown
TokenLedger is a native macOS dashboard that answers one question for
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everyone who builds with AI coding tools: what did the models actually
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cost me today?
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Every CLI assistant keeps its own usage log, in its own format, under
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its own directory. TokenLedger reads them all on launch — ZCode's
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SQLite ledger, Codex JSONL sessions, DeepSeek Harness workdirs, Claude
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Code transcripts — and merges them into a single ledger of tokens,
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requests, cache behavior and list-price cost. Any other folder that
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matches a known log shape can be added from the Sources page, and any
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source can be toggled off without touching a config file.
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The Overview page carries a nine-tile KPI grid — today's tokens, the
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trailing week, list-price cost, cache hit, tool calls, failed and
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retried shares — over stacked area charts by source, a year of calendar
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heat, the last two weeks hour by hour, and where the tokens go. The
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Models page breaks the same ledger down per model over 1D, 7D, 30D or
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all time: speed in output tokens a second, cache hit, and what the
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usage would cost at each model's official card, never a guess for a
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model without one.
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It is built on Ely: the KPI tiles, the segmented span control, the data
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table on the Models page, and every chart — areas, bars, lines, both
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heatmaps — are Ely components in dark and light.
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