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refactor: rename to openclaw

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Peter Steinberger
2026-01-30 03:15:10 +01:00
parent 4583f88626
commit 9a7160786a
2357 changed files with 16688 additions and 16788 deletions
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14
docs/token-use.md
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@@ -1,17 +1,17 @@
---
summary: "How Moltbot builds prompt context and reports token usage + costs"
summary: "How OpenClaw builds prompt context and reports token usage + costs"
read_when:
- Explaining token usage, costs, or context windows
- Debugging context growth or compaction behavior
---
# Token use & costs
Moltbot tracks **tokens**, not characters. Tokens are model-specific, but most
OpenClaw tracks **tokens**, not characters. Tokens are model-specific, but most
OpenAI-style models average ~4 characters per token for English text.
## How the system prompt is built
Moltbot assembles its own system prompt on every run. It includes:
OpenClaw assembles its own system prompt on every run. It includes:
- Tool list + short descriptions
- Skills list (only metadata; instructions are loaded on demand with `read`)
@@ -45,12 +45,12 @@ Use these in chat:
- `/usage off|tokens|full` → appends a **per-response usage footer** to every reply.
- Persists per session (stored as `responseUsage`).
- OAuth auth **hides cost** (tokens only).
- `/usage cost` → shows a local cost summary from Moltbot session logs.
- `/usage cost` → shows a local cost summary from OpenClaw session logs.
Other surfaces:
- **TUI/Web TUI:** `/status` + `/usage` are supported.
- **CLI:** `moltbot status --usage` and `moltbot channels list` show
- **CLI:** `openclaw status --usage` and `openclaw channels list` show
provider quota windows (not per-response costs).
## Cost estimation (when shown)
@@ -62,12 +62,12 @@ models.providers.<provider>.models[].cost
```
These are **USD per 1M tokens** for `input`, `output`, `cacheRead`, and
`cacheWrite`. If pricing is missing, Moltbot shows tokens only. OAuth tokens
`cacheWrite`. If pricing is missing, OpenClaw shows tokens only. OAuth tokens
never show dollar cost.
## Cache TTL and pruning impact
Provider prompt caching only applies within the cache TTL window. Moltbot can
Provider prompt caching only applies within the cache TTL window. OpenClaw can
optionally run **cache-ttl pruning**: it prunes the session once the cache TTL
has expired, then resets the cache window so subsequent requests can re-use the
freshly cached context instead of re-caching the full history. This keeps cache