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dsh-llm-opencode

Llm Opencode

用于 DSH harness LLM 接口的 OpenCode Zen 提供商适配器

插件会安装到这里;不确定时保持 web。

npx -y @deepseek-ai/dsh plugin --profile web add github:bobowsh/dsh-llm-opencode#9fdc810da3a939ef20b64336018e90a7b9b429e1
README兼容性版本

兼容性与来源证明

Llm Opencode 以 dsh-llm-opencode 发布,当前版本为 0.1.0。Plugin Hub 会校验它的 manifest,并保存精确安装来源,便于复现安装结果。

DSH 兼容范围
*
运行环境
any
发布来源
github
Registry 更新时间
2026/8/23

版本

0.1.0stable
2026/8/23

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最新版
0.1.0
DSH
*
HMR
重启进程
Tree shaking
未声明可安全裁剪
解包体积
未提供
文件数
未提供
Surface
any
许可证
MIT
发布源
github
GitHub
★ 7
周下载
0
最近提交
2026/9/4
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README

dsh-llm-opencode

OpenCode Zen free model provider adapter for DeepSeek Harness (DSH).

Registers the opencode-zen provider route in DSH's LLM seam, giving your coding agent access to OpenCode Zen's free-tier models — no API key required for free models, no credit card, no setup friction.

Free Models

ModelIDContextMax OutputNotes
DeepSeek V4 Flash Freedeepseek-v4-flash-free200K128KDeepSeek's V4 Flash, SWE-bench ~79%
Nemotron 3 Ultra Freenemotron-3-ultra-free1M128KNVIDIA's flagship, huge context
MiMo V2.5 Freemimo-v2.5-free200K32KXiaomi's coding model
Big Picklebig-pickle200K128KStealth general-purpose model

Free models are served through OpenCode Zen's public gateway. Availability may change; the adapter auto-discovers models tagged free from the /models endpoint.

Install

# From npm (prebuilt, recommended)
dsh plugin --profile web add dsh-llm-opencode

# Or from GitHub directly
dsh plugin --profile web add "github:bobowsh/dsh-llm-opencode#main"

Quick Start

  1. Install the plugin into your DSH profile (see above).
  2. Open DSH Web Settings → Models → select OpenCode Zen as your provider.
  3. Pick a free model (e.g. deepseek-v4-flash-free) and start coding — no API key needed.

Paid models require an API key. Set OPENCODE_API_KEY in DSH credentials (Settings → Credentials) or as an environment variable.

How It Works

This plugin implements the LlmAdapter interface from @deepseek-ai/dsh-llm and registers a single provider route opencode-zen. When DSH routes a request to this provider:

  1. Serialization — harness messages are translated to OpenAI-compatible chat completions (text-only; images are rejected with UNSUPPORTED_CONTENT).
  2. Streaming — SSE responses are parsed via eventsource-parser and translated into harness StreamChunk events (block-start, text-delta, reasoning-delta, tool-call-delta, usage, finish).
  3. Identity — requests carry User-Agent: opencode/1.0.0 and related headers to satisfy OpenCode Zen's client identity check (the default deepseek-harness/... user-agent is rejected by the gateway).
  4. Credentials — resolves the API key from DSH's credential store (env var OPENCODE_API_KEY) or the ambient environment. Free models work without a key; paid models require one.
  5. Model discovery — registers a discovery handler that fetches /models from the gateway and filters for free-tagged entries.

Configuration

The adapter is configurable through DSH's settings system (llm-opencode section in settings.yaml). Changes take effect immediately without restart.

SettingDefaultDescription
baseURLhttps://opencode.ai/zen/v1Gateway endpoint
apiKeyEnvOPENCODE_API_KEYCredential store key for the API token
maxTokens128000Default max output tokens per request
defaultContextWindow1000000Fallback context window for unknown models
streamIdleTimeoutMs300000Max idle time (ms) before stream is considered dead
models(built-in catalog)Override the model catalog
retryPolicy(built-in)Retry behavior for transient errors

Example settings.yaml snippet

llm-opencode:
  baseURL: "https://opencode.ai/zen/v1"
  maxTokens: 64000
  models:
    - id: deepseek-v4-flash-free
      name: DeepSeek V4 Flash Free
      contextWindow: 200000
      maxTokens: 128000

See settings.example.yaml for a full annotated example.

Bundle Patch

The included cordis.patch.yml registers the llm-opencode plugin row into the DSH bundle loader, so the plugin is auto-loaded when installed into a profile.

Development

npm install
npm test
npm run lint

Requirements

  • DeepSeek Harness >= 0.1.0-rc.7
  • @deepseek-ai/cordis ^4.0.1 (peer dependency)

License

MIT © bobowsh