Codingns4DSH
jingyi0605
把外部 Agent CLI、持久终端和远程访问搬进 DSH 界面,调试工作区更顺手。
raullenchai7019更新于 2 个月前
让 DeepSeek Harness 直接从 Rapid-MLX 服务器读取模型信息,无需手动配置,开箱即用。
实用分
79 / 100
配置门槛
开箱即用
协议
Apache-2.0
语言
JavaScript
复制命令,或者把整个安装任务交给你的 Harness 智能体。
git clone https://github.com/raullenchai/rapid-mlx-dsh-provider.git请帮我安装 DeepSeek Harness 插件「rapid-mlx-dsh-provider」: - GitHub 仓库:raullenchai/rapid-mlx-dsh-provider(https://github.com/raullenchai/rapid-mlx-dsh-provider) - 类型:cordis 插件(装到 DSH profile) - 注意:该插件声明 DSH 版本要求 ^0.1.0-rc.8,安装前请先确认我的版本是否满足。 - 该插件开箱即用,无需额外配置。 请先查看仓库 R…
来自项目自身文档的清洗摘录。
@raullenchai/dsh-provider A native Rapid-MLX provider for DeepSeek Harness — so dsh gets its model facts from the server instead of from whatever you typed into settings.yaml . Status: published to npm as @raullenchai/dsh-provider . The end-to-end dsh run in Verified was on an M3 Ultra against dsh 0.1.0-rc.7 ; dsh 0.1.0-rc.8 is API-compatible — the LlmAdapter contract is byte-identical and the only changes are additive — and the adapter is re-verified against rc.8 at the protocol and unit-test level. DSH is still a developer preview that moves fast, so treat this as tracking a moving target, not a frozen compatibility promise. What it does for you DSH can already talk to a local Rapid-MLX server through its generic openai-completions provider.…
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