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dsh-cost-gate

Cost Gate

DeepSeek Harness 的支出门控:在 llm/stream 调用链上拒绝超出预算的模型调用,避免产生费用。超过软上限后自动降级。

插件会安装到这里;不确定时保持 web。

npx -y @deepseek-ai/dsh plugin --profile web add dsh-cost-gate@0.2.0
README兼容性版本

兼容性与来源证明

Cost Gate 以 dsh-cost-gate 发布,当前版本为 0.2.0。Plugin Hub 会校验它的 manifest,并保存精确安装来源,便于复现安装结果。

DSH 兼容范围
*
运行环境
any
发布来源
npm
Registry 更新时间
2026/11/5

版本

0.2.0stable
2026/8/19
0.1.0stable
2026/8/18

相关插件

正在加载相关插件…

最新版
0.2.0
DSH
*
HMR
重启进程
Tree shaking
未声明可安全裁剪
解包体积
16.6 kB
文件数
6
Surface
any
许可证
MIT
发布源
npm
GitHub
★ 0
周下载
47
最近提交
2026/8/19
查看源码 ↗项目主页 ↗
README Badge

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README

dsh-cost-gate

Spend enforcement for DeepSeek Harness — not another dashboard.

The dsh ecosystem has plenty of cost plugins. Every one of them measures: ledgers, statistics, heatmaps, balance widgets. They tell you what you spent after you spent it.

This one stops the call.

        ┌─ over budget? ──> throw, before a single token is billed
llm/stream waterfall ─┼─ past 80%? ────> silently route to the cheap model
        └─ fine? ────────> pass through, then meter the usage chunk

llm/stream is a cordis waterfall — the decision happens before next() runs, which is the only place enforcement can actually work.

Install

dsh plugin --profile web add github:frozo-ai/dsh-budget   # npm: dsh-cost-gate
- insert:
    - id: budget
      name: 'dsh-cost-gate/plugin'
      config:
        limitUsd: 50
        period: monthly          # daily | monthly | total
        softFraction: 0.8        # start downgrading at 80%
        downgradeModel: 'deepseek/deepseek-chat'
        storePath: '~/.dsh/spend.json'
        rates:                   # USD per MILLION tokens
          'deepseek/deepseek-chat': { input: 0.28, output: 0.42 }
          'anthropic/claude-3.5-sonnet': { input: 3, output: 15 }

Set dryRun: true to log decisions without blocking — roll out safely, then turn it on.

Design notes

Integer micro-dollars. Costs accumulate as integers, never floats. A test runs 10,000 calls and asserts zero drift, because this decides whether people get blocked.

Cache tokens are disjoint. Per dsh's TokenUsage contract, cacheRead and cacheWrite are not included in inputTokens, so they're added at their own rates rather than folded in.

Atomic ledger writes. Temp file plus rename — a torn write must not lose budget state.

UTC period boundaries, so a daily budget resets at a time everyone agrees on.

Fails open, deliberately. No limitUsd means metering only. Enforcement is opt-in: a budget plugin that accidentally blocks your whole team is worse than one that doesn't block at all.

Related work

PerryLink/dsh-budget covers similar ground — metering, caps, alerts, carbon estimates, a Settings tab. If you want dashboards and reporting, look there first. This plugin is narrower on purpose: it gates the llm/stream waterfall so an over-budget call is refused before it is billed, and does little else.

Attribution

scopeBy: session          # deployment (default) | session | user
perScopeLimitUsd:
  'system:compaction': null    # unlimited — overhead must never block the agent
  'user:alice': 100

session uses GenerateOptions.sessionId, which dsh genuinely provides.

user needs a mapping dsh cannot supply — there is no user identity at the llm seam. So it is given, never guessed:

  • userEnv: 'DSH_USER' — one dsh instance per user
  • sessionUsers: { <sessionId>: 'alice' } — an operator-supplied map

An unattributable call lands in user:unattributed. It is never charged to whoever happens to be handy — a chargeback report that invents attributions is worse than one that admits gaps.

System overhead is separated. Compaction and session-title calls carry a purpose and are billed to system:*, so background work can never exhaust a person's budget. Give them a null limit so they cannot be blocked.

Known limitations

  • Per-user requires operator setup — see Attribution above. dsh has no user concept at the llm seam, so nothing can infer it.
  • Unknown models price as $0 rather than crashing. Add them to rates.
  • Pricing tables are yours to maintain; providers change rates.

Test

npm test   # 29 checks: pricing, drift, periods, durability, decisions, attribution

MIT. Not affiliated with DeepSeek AI.