docs/concepts/usage-tracking.md
X% left, even
when an upstream API reports consumed quota, remaining quota, or only raw
counts. Providers without resettable quota windows can show provider summary
text instead, such as a balance./status and session_status can fall back to the latest
transcript usage entry when the live session snapshot is sparse. That
fallback fills missing token/cache counters, can recover the active runtime
model label, and prefers the larger prompt-oriented total when session
metadata is missing or smaller. Existing nonzero live values still win./status in chats: emoji-rich status card with session tokens + estimated cost (API key only). Provider usage shows for the current model provider when available as a normalized X% left window or provider summary text./usage off|tokens|full in chats: per-response usage footer (OAuth shows tokens only)./usage cost in chats: local cost summary aggregated from OpenClaw session logs.openclaw status --usage prints a full per-provider breakdown.openclaw channels list prints the same usage snapshot alongside provider config (use --no-usage to skip)./usage full footer/usage full shows a built-in compact footer with model, reasoning, fast/slow,
context window, turn tokens, cache, and cost when those fields are available. No
template file is required.
messages.usageTemplate is only for advanced custom layouts. The value is a
JSON file path (supports ~) or an inline object, and it replaces the built-in
footer when valid:
{
"messages": {
"usageTemplate": "~/.openclaw/usage-footer.json"
}
}
Missing or empty templates fall back to the built-in footer quietly. Unreadable or invalid configured templates also fall back to the built-in footer and emit an operator warning.
Start custom templates from the built-in shape, then edit the parts you want to change:
{
"schema": "openclaw.usageBar.v1",
"scales": {
"braille": "⠐⡀⡄⡆⡇⣇⣧⣷⣿",
"block": "░▏▎▍▌▋▊▉█",
"shade": "░▒▓█",
"moon": "🌑🌘🌗🌖🌕",
"level": "▁▂▃▄▅▆▇█",
"weather": ["🥶", "☁️", "🌥", "⛅️", "🌤", "☀️"],
"plants": ["", "🍂", "🌱", "☘️", "🍀", "🌿"],
"moons6": ["🌑", "🌚", "🌘", "🌗", "🌖", "🌝"],
},
"aliases": {
"models": {
"claude-opus-4-6": "opus46",
"claude-opus-4-8": "opus48",
"claude-sonnet-4-6": "sonnet46",
"claude-haiku-4-5": "haiku45",
"gpt-5.5": "gpt5.5",
},
"reasoning": {
"off": "🌑",
"minimal": "🌚",
"low": "🌘",
"medium": "🌗",
"high": "🌕",
"xhigh": "🌝",
},
},
"output": {
"sep": "",
"default": [
{ "text": "{model.provider}{identity.emoji|🤖} {model.display_name|alias:models}" },
{ "map": "model.is_fallback", "cases": { "true": " 🔄" } },
{ "map": "model.is_override", "cases": { "true": " 📌" } },
{ "when": "model.reasoning", "text": " {model.reasoning|alias:reasoning}" },
{ "map": "state.fast_mode", "cases": { "true": " ⚡", "false": " 🐌" } },
{
"when": "context.max_tokens",
"text": " | 📚 [{context.pct_used|meter:5:braille}]{context.max_tokens|num}",
},
{
"when": "usage.has_split_tokens",
"text": " ↕️ {usage.input_tokens|num|?}/{usage.output_tokens|num|?}",
},
{ "when": "usage.has_total_only_tokens", "text": " ↕️ {usage.total_tokens|num}" },
{ "when": "usage.cache_hit_pct", "text": " 🗄 {usage.cache_hit_pct|pct}" },
{ "when": "cost.turn_usd", "text": " 💰{cost.turn_usd|fixed:4}" },
],
"surfaces": {
"discord": [
{ "text": "-# -\n" },
{ "text": "-# {model.provider}{identity.emoji|🤖} {model.display_name|alias:models}" },
{ "map": "model.is_fallback", "cases": { "true": "🔄" } },
{ "map": "model.is_override", "cases": { "true": "📌" } },
{ "when": "model.reasoning", "text": " {model.reasoning|alias:reasoning}" },
{ "map": "state.fast_mode", "cases": { "true": " ⚡️", "false": " 🐌" } },
{
"when": "context.max_tokens",
"text": " | 📚 [{context.pct_used|meter:5:braille}]{context.max_tokens|num}",
},
{
"when": "usage.has_split_tokens",
"text": " ↕️ {usage.input_tokens|num|?}/{usage.output_tokens|num|?}",
},
{ "when": "usage.has_total_only_tokens", "text": " ↕️ {usage.total_tokens|num}" },
{ "when": "usage.cache_hit_pct", "text": " 🗄 {usage.cache_hit_pct|pct}" },
{ "when": "cost.turn_usd", "text": " 💰{cost.turn_usd|fixed:4}" },
],
},
},
}
{
"schema": "openclaw.usageBar.v1",
"scales": { "<name>": "low-to-high glyphs" }, // string (1 glyph/char) or array
"aliases": { "<table>": { "<value>": "<label>" } },
"output": {
"sep": "", // joins surviving pieces
"default": [
/* pieces */
], // fallback for any surface
"surfaces": {
"discord": [
/* pieces */
],
"telegram": [
/* pieces */
],
},
},
}
Each surface is an ordered list of pieces; the engine renders each, drops
empties, and joins survivors with sep. A surface with no entry uses
output.default.
A piece reads values from the per-turn contract by dot-path. Absent values are
empty (so a when guard or a |fallback keeps the piece clean).
| Path | Meaning |
|---|---|
surface | channel id (discord/telegram/etc.) |
model.provider / model.display_name | provider id / model id |
model.reasoning | effort (off through xhigh) |
model.is_fallback / model.is_override | bool: fallback used / model pinned |
state.fast_mode | bool: fast vs slow |
context.max_tokens / context.pct_used | window budget / 0-100 used |
usage.input_tokens / usage.output_tokens / usage.total_tokens | turn aggregate |
usage.has_split_tokens / usage.has_total_only_tokens / usage.cache_hit_pct | token display guards and cache percent |
usage.last.input_tokens / usage.last.output_tokens / usage.last.cache_hit_pct | final model call only |
cost.turn_usd | estimated turn cost |
identity.name / identity.emoji | agent name / chosen emoji |
(Provider rate-limit windows are not in this contract.)
Pipe a value through verbs left to right; a non-verb segment is the fallback.
| Verb | Effect | Example |
|---|---|---|
num | compact count | 272000 -> 272k |
fixed:N | N decimals (default 2) | 0.0377 |
dur | seconds to duration | 14820 -> 4h07m |
pct | append % | 96 -> 96% |
inv | 100 - x | for used to remaining |
alias:TABLE | lookup in aliases, echo if unlisted | medium -> 🌗 |
meter:W:SCALE | W-cell glyph bar over a 0-100 value | [⣿⣿⠐⠐⠐] (meter:1 = one glyph) |
{ "text": "📚 {context.max_tokens|num}" }: literal + interpolation.{ "when": "<path>", "text": "..." }: render only if the path is truthy.{ "map": "<path>", "cases": { "true": "⚡", "false": "🐌" } }: value to glyph.{ "each": "limits.windows", "item": "{label}" }: iterate an array.{
"schema": "openclaw.usageBar.v1",
"scales": { "braille": "⠐⡀⡄⡆⡇⣇⣧⣷⣿" },
"aliases": { "reasoning": { "medium": "🌗", "high": "🌕" } },
"output": {
"surfaces": {
"discord": [
{ "text": "{model.display_name}" },
{ "when": "model.reasoning", "text": " {model.reasoning|alias:reasoning}" },
{ "map": "state.fast_mode", "cases": { "true": " ⚡", "false": " 🐌" } },
{
"when": "context.max_tokens",
"text": " | 📚 [{context.pct_used|meter:5:braille}]{context.max_tokens|num}",
},
],
},
},
}
renders e.g. claude-sonnet-4-6 🌗 🐌 | 📚 [⣿⣿⣿⣿⣧]272k.
stats; stats.cached is normalized into
cacheRead.minimax, minimax-cn, and minimax-portal as the same MiniMax quota
surface, prefers stored MiniMax OAuth when present, and otherwise falls back
to MINIMAX_CODE_PLAN_KEY, MINIMAX_CODING_API_KEY, or MINIMAX_API_KEY.
Usage polling derives the Coding Plan host from models.providers.minimax-portal.baseUrl
or models.providers.minimax.baseUrl when configured, and otherwise uses the
MiniMax CN host.
MiniMax's raw usage_percent / usagePercent fields mean remaining
quota, so OpenClaw inverts them before display; count-based fields win when
present.
start_time / end_time span.model_remains, OpenClaw prefers the
chat-model entry, derives the window label from timestamps when explicit
window_hours / window_minutes fields are absent, and includes the model
name in the plan label.XIAOMI_API_KEY).DEEPSEEK_API_KEY).
OpenClaw calls DeepSeek's balance endpoint and shows the provider-reported
balance as text instead of a percent-left quota window.Usage is hidden when no usable provider usage auth can be resolved. Providers can supply plugin-specific usage auth logic; otherwise OpenClaw falls back to matching OAuth/API-key credentials from auth profiles, environment variables, or config.