dsh-tool-turbo

Cut tool-call latency in DeepSeek Harness (dsh) by auto-adjusting reasoning_effort per tool round.

中文文档 · English

In a multi-step tool chain, the model re-thinks before every tool call — and that thinking dominates the wall-clock time (a 50-step agent task can spend minutes in reasoning between tools). dsh-tool-turbo watches the recent tool calls of a step and injects the lowest sensible reasoning effort into the next model request, then lifts it again the moment the work gets heavy.

How it works

DeepSeek's API exposes reasoning_effort in three steps (low / high / max, shipped 2026-08-13). dsh re-resolves the request config for every step through an agent/request waterfall (see packages/core/agent-loop/src/agent.ts — "plugins propose the next request config"). dsh-tool-turbo plugs into that waterfall:

1. Watch the step's recent tool/call records from the session.
2. Decide: simple, deterministic tools (write, read, grep, glob, bash, fs_*, …) with small payloads → low; mixed/heavy work → high; very heavy payloads → max (opt-in).
3. Inject the decision into the agent/request config for the next model call of that step.

Long tool chains keep the cheap rounds cheap, and never starve the hard rounds of reasoning.

Install

# 1. clone + build the plugin
git clone https://github.com/Electricitysheep/dsh-tool-turbo.git
cd dsh-tool-turbo && npm install

# 2. register into your dsh profile (web shown; any profile works)
#    ~/.dsh/profiles/web/package.json dependencies:
#      "dsh-tool-turbo": "link:<absolute path to dsh-tool-turbo>"
#    ~/.dsh/profiles/web/cordis.patch.yml:
#      - insert:
#          - id: tool-turbo
#            name: dsh-tool-turbo
cd ~/.dsh/profiles/web && pnpm install

# 3. restart dsh web
dsh web

Verified

• Injector works in a live dsh instance (log lines from a real run):

[tool-turbo] agent/request: baseline=high calls=[]                    => reasoningEffort=high
[tool-turbo] agent/request: baseline=high calls=[{"name":"write",…}] => reasoningEffort=low

• 6/6 unit tests on the effort policy (decideEffort): fresh prompt keeps the baseline, simple-tool chains downgrade to low, downgrades respect the user toggle, heavy payloads upgrade to max (opt-in), mixed tools lift to high.
• tsc --noEmit clean.

Policy (pure, testable)

Toggles (settings namespace planned): allowDowngrade (default on), allowUpgrade (default off — keep max conservative), baseline (default high).

Roadmap

• effort-decision core + waterfall injection
• per-tool duration telemetry (host log)
• settings namespace (dsh-settings) for the toggles
• tool timing surfaced in the UI / agent context
• profile-agnostic install docs (headless/tui)

License

MIT