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dsh-plugin-jev-effort-selector

Free

DeepSeek Harness (DSH) 推理等级自动选择插件:由 Jev System One 模型判断每条消息值多少思考量,按模型声明的等级自动推导档位,上下文信封让「继续」这类追问继承话题深度,低置信度向上取,任何失败都静默沿用原等级。 | Jev-driven reasoning effort per message: per-model ladders derived from what each model adv...

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Related by shared tags and keywordsdsh-consolefish-pocketdeepseek-harness-cloud
ai-agentdeepseek-harnessdeepseek-harness-plugindshdsh-pluginaiai assistantautomation

Overview

DeepSeek Harness (DSH) 推理等级自动选择插件:由 Jev System One 模型判断每条消息值多少思考量,按模型声明的等级自动推导档位,上下文信封让「继续」这类追问继承话题深度,低置信度向上取,任何失败都静默沿用原等级。 | Jev-driven reasoning effort per message: per-model ladders derived from what each model advertises, a fixed-size context envelope so follow-ups inherit topic depth, ties break upward, silent fallback on every failure path.

Pricing

Free

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Prices and limits may change. Confirm the currency, billing period, seat minimum and usage caps on the official website.

Use Cases

  • Teams use the plugin to avoid wasting high reasoning effort on simple messages like greetings.
  • Teams use the plugin to automatically raise reasoning effort for complex refactoring tasks.
  • Teams use the plugin to let Jev decide the reasoning level for each message based on its content.
  • Teams use the plugin to keep the same reasoning level across all steps and retries within a turn.
  • Teams use the plugin to respect manual effort level or model changes made in the selector.
  • Teams use the plugin to disable Jev for a specific session without affecting other sessions.

Features

Selects reasoning effort per message

Uses Jev to assess thinking needs

Derives levels from model capabilities

Preserves topic depth across follow-ups

Uses a fixed-size context envelope

Rounds uncertain choices upward

Retains original level on failure

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