dsh-opencode-zen: Zero-Configuration Access to OpenCode Zen's Free Models
`dsh-opencode-zen` is a plugin for DeepSeek Harness designed to integrate free models from OpenCode Zen, allowing use without an API key. It provides seven free models that support tool calling and reasoning, with features such as zero configuration and dynamic catalog retrieval. Users need to install it via a GitHub command and should note that free quotas may be limited.
Read Moredsh-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.
Read Moredsh-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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