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dsh-thinking-levels

Dynamic thinking-level and reasoning effort controller for DeepSeek Harness with automated round scheduling.

Developer ToolsSecurity & Policy
12GitHub Stars1ForksUpdated2026-10-19

Install

$ dsh plugin --profile web add dsh-thinking-levels -w

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
dsh-thinking-levels is an installable DeepSeek Harness (DSH) plugin that dynamically adjusts model reasoning effort (thinking levels) across multi-step agent tool chains. It injects an Auto mask into the session model selector to evaluate tool execution history and automatically schedule appropriate effort levels (low, high, max), while allowing manual overrides, context-window limits, and custom gateway mapping.

Key Capabilities

  • Injects an Auto reasoning effort mask into the DSH model selector to dynamically scale thinking levels based on tool execution complexity
  • Provides manual thinking level control across off, on, minimal, low, medium, high, xhigh, and max settings
  • Applies safety guards to strip unsupported reasoning_effort fields from non-reasoning or custom gateway models to prevent API 400 errors
  • Offers a segmented effort slider UI with support for animated custom runners and immediate release snapping
  • Enables quick context-window limit configuration (presets from 64K to 1M or custom limits) synced directly with llm-pi-ai and llm-deepseek
  • Includes a built-in token pricing and billing catalog across multiple Chinese and regional model offerings

Useful For

  • Minimizing wall-clock latency and token consumption during simple, multi-step agent tool loops without manual intervention
  • Escalating thinking depth automatically when heavy tool invocations or complex data transformations occur
  • Fixing compatibility issues when integrating third-party OpenAI-compatible providers or local vLLM gateways with DSH
  • Adjusting context-window pressure thresholds and compacting limits directly from the composer interface

Who It Fits

  • DeepSeek Harness developers building automated multi-turn agent workflows
  • Engineers running local or self-hosted models (vLLM, SGLang, LM Studio) alongside DeepSeek Harness
  • DSH users seeking finer control over reasoning token usage and API latency

Documented Limitations

  • Pinned tightly to specific DSH host versions (rc-level peer dependencies between 0.1.0-rc.8 and 0.2.1-rc.2)
  • Japanese and Korean localizations require host-level locale registration in DSH to display without errors
  • Auto reasoning mask only schedules between low, high, and max; it never automatically selects off
  • Model UI takeover features default to off and require explicit opt-in via configuration

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 2 runtime, 18 development, 8 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
drscrewdriver/dsh-thinking-levels
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
fa95437 · 2026-10-19

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
12GitHub stars
Forks
1
Open issues
4
Last commit
2026-10-19
Last release
No release detected
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