hytime/dsh-thinking-effort: Supplementing the Thinking Intensity Settings for DSH's llm-pi-ai Model
`@hytime/dsh-thinking-effort` is a DSH plugin designed to supplement default configurations for third-party `llm-pi-ai` models that lack declared thinking effort levels. Its core functionalities include adding default levels of `off`, `high`, and `max` without overriding custom values; supporting the selection of thinking effort levels per model within DSH settings and mapping DSH levels to corresponding gateway values (e.g., `high` mapping to `ultra`); setting default thinking intensity for sub-agents, which only applies when not explicitly specified in a request; supporting multilingual interfaces in Chinese, English, Japanese, and Korean (with Japanese/Korean requiring DSH core support); and displaying a version watermark on the settings page. Users can manage the plugin via the DSH CLI command `dsh plugin --pr
Read MoreAdd Visual, Reasoning Tier and Token Capacity for Custom Models in DeepSeek Harness via better-model-provider
### 正式翻译： The official "Models" page of DeepSeek Harness can manage providers and API keys, but in the past, adjusting the inference strength levels, visual input capabilities, and token capacity for custom models could only be done by manually editing the YAML files. The MIT-licensed plugin `better-model-provider` maintained by sanshanya added a "Model Capabilities" section on the settings page, which configures these native capabilities based on the model's declared specifications, without modifying the Harness runtime or touching credentials. This article verifies the installation commands, usage methods, and compatibility boundaries based on the community directory page and the GitHub README.
Read MoreAdd Model and Inference Strength Sliders to DeepSeek Harness Using dsh-reasoning-effort
# 修正：原文中“大肥鱼滑块”应为“大模型推理强度滑块”，以下是准确翻译： HanaAyane-maintained dsh-reasoning-effort brings Codex-style models and reasoning effort sliders to the DeepSeek Harness Web interface, with the gear positions reading model directories and syncing with `/model`. This article verifies the installation commands, the read-only YAML guidelines for custom providers, as well as the notes on the large model reasoning effort slider, permissions and licenses based on the directory page, GitHub README and v0.6.0 version.
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