tastynoob/dsh-progress-summary ↗★ 0
dsh-progress-summary
利用辅助模型将实时推理过程压缩为单行状态 适合想要在 Web UI 或 TUI 中精简呈现复杂推理进度的用户。
安装
$
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:tastynoob/dsh-progress-summary说明文档
阅读完整 README ↗Configuration
| Key | Default | Meaning |
|---|---|---|
enabled | true | Master switch; also the Settings toggle (live) |
provider / model | auto | auto follows the session's own route; otherwise pin a route |
effort | off | Reasoning effort for the auxiliary call |
maxTokens | 96 | Output cap for one line |
timeoutMs | 8000 | Abort a single call after this long |
minIntervalMs | 20000 | Time floor between two model lines (live) |
minTokens | 600 | Token floor at a tool boundary (live) |
charsPerToken | 3 | Divisor used for the token estimate |
excerptChars | 700 | Reasoning tail sent to the model |
maxLineChars | 128 | Hard cap for the rendered line (characters) |
maxPerTurn | 40 | Hard cap on auxiliary calls per turn (live) |
lang | auto | auto follows the host locale; zh / en pin it |
publish | true | Commit ignorable records so the Web UI receives lines |
tui | true | Contribute the line to a composed TUI |
quickLines | false | Opt into the free turn-start/per-tool lines |
subagents | false | Narrate subagent sessions too |
debug | true | Append a bounded diagnostics log under ~/.dsh/ |
Fields marked live are volatile: a save takes effect on the next tool boundary, without a restart.