dsh-zen-adapter:把 OpenCode Zen 免费模型接进 DeepSeek Harness

dsh-zen-adapter 是 seonzzy 维护的 DSH 模型推理插件,将 OpenCode Zen 免费模型注册为原生 provider zen-free。无需 API key 与额外依赖,从 opencode.ai 与 models.dev 动态发现免费模型目录,并在插件面板支持获取模型与可用性检测。安装后重启 DSH,在 OpenCode Zen (free lane) 分组中选模型即可。需注意上游按 IP 配额与地区限制。MIT 许可,版本 0.2.0。

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dsh-zen-proxy:在 DSH 里原生接入 OpenCode Zen 免费模型

dsh-zen-proxy 是 Yee-h 维护的 DeepSeek Harness 联网插件,以进程内 llm-provider 注入官方 OpenCode 客户端请求头,接入 OpenCode Zen 免费模型。无需本地 HTTP 代理、settings.yaml 或用户 API Key;默认每 10 分钟探测并以两条路由仅展示可用与地区受限的 -free 模型。本文基于 GitHub README 介绍安装命令、配置项、探测语义、思考强度与 attribution 覆盖等要点及使用注意。

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dsh-opencode-free:在 DSH 中直接使用 OpenCode Zen 免费模型

dsh-opencode-free 是社区维护的 DSH 插件,通过 PiAiAdapter 直接调用 OpenCode Zen 推理端点,在模型选择器的 OpenCode Zen Free 分组中提供流式、reasoning 与 tool calls。默认匿名访问,可选 config.apiKey 或 OPENCODE_API_KEY。安装需 DSH 0.2.1-rc.2 与 dsh-opencode-free@0.3.6 精确配对。插件非官方,会做进程级 HTTP 拦截并发送 CLI 格式身份头;详情页可探测可用性但消耗配额。本文基于 GitHub README 整理安装、配置与安全注意事项。

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a42null/dsh-opencode-zen-plugin:DeepSeek Harness 的 OpenCode Zen 模型适配插件

`a42null/dsh-opencode-zen-plugin` 是 DeepSeek Harness (DSH) 的一个插件,旨在将 OpenCode Console (Zen) 的模型集成至 DSH 调用链。该插件实现了零配置模型目录获取、自动端点路由(适配 OpenAI、Anthropic、Google 等多种协议)及元数据同步。它支持流式输出、推理等级透传、工具调用及 Vision 模型,并通过缓存和错误优化提升体验。用户通过包管理器安装后,配置 API Key 即可在 DSH 中使用 Zen 模型。

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dsh-plugin-adapter:在 DSH 中直接使用 OpenCode Zen 模型

`dsh-plugin-adapter` 是一个专为 DeepSeek Harness (DSH) 设计的插件,旨在将 OpenCode Zen 的免费模型无缝接入 DSH。该插件通过注册为原生 `LlmAdapter`,实现了零凭证、零设置、无需 Sidecar 进程的使用体验。它支持多种思考级别配置、实时目录回退及完善的错误处理。用户只需通过官方命令安装并重启 `dsh web`,即可在模型选择器的 **zen-free** 组中使用这些匿名免费模型。

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dsh-opencode-compat: OpenCode Zen Compatibility Patch Plugin

This article introduces a community-maintained standalone plugin for DeepSeek Harness (DSH) that addresses protocol incompatibility and missing session headers when connecting OpenCode Zen or Muse models. The plugin’s main features include handling OpenCode Zen request formats, supporting Muse reasoning feedback, supporting the `openai-responses` protocol, and filling gaps in free-tier compatibility. Developers must stop DSH and install the plugin using a specific command, then specify the protocol and model in the configuration. Identity headers, reasoning filtering, and similar processing logic are enabled by default. The plugin only handles specific path requests over HTTPS on `opencode.ai`, requires no additional build steps, and is unofficial; users should also note its dependency on upstream protocol changes.

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dsh-connect-opencode-free: Integrating OpenCode Zen's Free Models into DeepSeek Harness

The DeepSeek Harness (DSH) plugin `dsh-connect-opencode-free` is designed to simplify the process of connecting to OpenCode Zen’s free models. It can be used without a Key and supports spoofed authentication, real-time dual-source model discovery, visual management in the settings page, and one-click Provider configuration. The plugin provides three tiers of usage rules (using only the public quota by default) and allows flexible switching of billing sources. To install it, add the dependency via the profile’s `package.json`, then restart DSH to synchronize and configure models in the settings.

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dsh-zen-spoof: A DeepSeek Harness Plugin for Directly Connecting to OpenCode Zen Free Models

The dsh-zen-spoof plugin bypasses the DSH native adapter by directly registering the `opencode` route, resolving the header override issue and enabling use of OpenCode's free tier. After installation, manually edit the configuration file to comment out the conflicting `opencode` provider. The plugin supports automatic model discovery, thinking-mode parsing, automatic error fallback, and credential hot updates, is compatible with any DSH version, and requires no additional patches.

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dsh-opencode-usage: View OpenCode Zen Balance and Go Usage Window in the DSH Interface

`dsh-opencode-usage` is a Web GUI plugin for DeepSeek Harness (DSH), designed to help developers intuitively view OpenCode Zen balances and Go usage windows. The plugin provides donut chart visualization, usage detail panels, and intelligent Cookie normalization configuration, with built-in anti-abuse mechanisms. It supports managing cookies, cache duration, and timeout settings via environment variables or configuration files, and offers a JSON API for external calls to refresh or configure data, ensuring security and permission control.

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use-opencode-local-provider: Integrate OpenCode Zen as a local provider into dsh

use-opencode-local-provider is an MIT-licensed dsh plugin that wraps a locally running opencode serve into a dsh provider. It launches an OpenAI-compatible bridge providing chat completions and models endpoints, converting requests into opencode serve sessions. Requests are routed through the opencode client channel, requiring no OpenCode API key and not consuming the public /zen/v1 quota. To install, execute the plugin add command in the profile directory, configure the models to be exposed in `cordon.patch.yml`, and restart dsh. Configurable options include the port and provider.

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dsh-llm-opencode: DeepSeek Harness's OpenCode Zen Free Model Adapter

`dsh-llm-opencode` is an MIT-licensed DeepSeek Harness (DSH) plugin developed by bobowsh, designed to integrate OpenCode Zen providers into DSH. By registering the `opencode-zen` route, the plugin converts DSH requests into the OpenAI-compatible chat completions format and supports parsing SSE stream responses. Its core advantage is that it supports OpenCode Zen's free models, enabling users to utilize them directly without configuring an API key; for paid models, API keys can be configured via environment variables or credentials. The plugin features a built-in directory of free models and automatically synchronizes the latest model list from the gateway and models.dev in the background.

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dsh-opencode-zen-free-provider: Adding Free OpenCode Zen Models to dsh

dsh-opencode-zen-free-provider is an MIT-licensed plugin maintained by jiesou, designed to seamlessly integrate OpenCode Zen's free models into the DSH ecosystem. At startup, the plugin performs a one-time sync of model catalogs and metadata from OpenCode Zen and models.dev, requiring no manual configuration or polling, and automatically filters for free models. Its core features include support for the MiMo V2.5 backend with up to 1M context length, exposing only the reasoning depth tiers accepted by the upstream (Default or Off), and preserving the real reasons behind non-credential rejections (such as quota expiration or regional restrictions) in terminal error events, rather than displaying them generically as an invalid API Key. If the initial fetch fails at startup, the plugin can still mount normally and serve with an empty catalog.

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DSH Plugin Zen UserAgent: Fixing the DSH Plugin for OpenCode ZEN Free Model 429

`dsh-plugin-zen-useragent` is a DSH plugin maintained by `jiujiezongheti`, designed to resolve the issue where requests using OpenCode ZEN free models are incorrectly identified as `deepseek-harness` and return a `429 FreeUsageLimitError` because the request headers are not applied correctly. The plugin uses a patch mechanism to ensure that custom request headers (e.g., `User-Agent`) configured in provider settings override the default `attribution` field, allowing API requests to be correctly recognized as `opencode` clients. The plugin supports idempotent execution and automatically reapplies patches after DSH upgrades; if it detects code structure changes or write failures, it handles them accordingly.

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dsh-opencode-zen: Integrating Free Models from OpenCode Zen into DeepSeek Harness

dsh-opencode-zen is a DSH plugin maintained by xiaozhe7772222, designed to integrate the free-tier models of OpenCode Zen into the dsh web model selector with zero configuration and zero cost. This plugin exposes an opencode provider, supporting six free models including DeepSeek V4 Flash, Xiaomi MiMo, and Tencent Hunyuan, allowing users to use them directly without registration or providing an API key. Core features include built-in 429/5xx automatic backoff and request throttling for quota management, support for streaming, tool calls, and reasoning content passthrough, with the ability to optimize output by setting reasoning effort levels. The plugin can be used with ds

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