DSH Marketplace

dsh-commandcode-provider

Mars-Sea/dsh-commandcode-provider

Unofficial Command Code LLM provider: registers a `commandcode` route with a live model catalog and reasoning-effort support.

Install

Add dsh-commandcode-provider to DeepSeek Harness

via npm

Resolves a published tarball rather than cloning the repository, and installs without any extra setup. Swap `web` for your profile name if you run another one.

via GitHub · npm package

Installing from GitHub runs the project's build script, which pnpm blocks until you allowlist it — run the command once and pnpm prints the exact key to add under `allowBuilds` in ~/.dsh/profiles/web/pnpm-workspace.yaml.

What happened when we ran it

Installed cleanly when we ran it

Every command here is run in a throwaway container against a clean profile, and the result is whatever the harness recorded — not a guess from the source. Last run 11d ago.

Show it in your README

install verified — dshmarketplace

For maintainers: the badge serves this listing's latest sandbox verdict, so a re-run updates it on its own — and it links readers to the full result here.

Due diligence

Before you install dsh-commandcode-provider

  • Source of record: Mars-Sea/dsh-commandcode-provider — present in the community registry that DSH's own plugin market installs from.
  • Licensed under MIT.
  • Detected: terminal surface. Read the source before granting these.
  • A listing here is not a security review. Plugins run with your agent's permissions.

The AI take

What it is — This is a DeepSeek Harness plugin that registers a commandcode provider route with a live model catalog and reasoning-effort support.

Who it is for — When performing command code LLM tasks in DeepSeek Harness web or terminal interface, users who need live model catalog and reasoning-effort support should install this plugin. If your work does not depend on Command Code LLM providers, then this plugin is not applicable.

Watch out — The installation requires configuration of API key in the profile. It passed sandbox testing: installed in a new profile and registered by harness. Static check shows it will execute shell commands.

The verdict — I will install it because it supports multi-account rotation that automatically switches accounts when usage limit is reached.

Generated by grok-4.6, and a starting point rather than a verdict. Where it says a plugin installs or does not, that is from a real run in a clean profile — everything else is read off the repository. Trust the source over this.

What dsh-commandcode-provider does

Geometric data, credentials and image fragments converge through a conduit into one output beam.

dsh-commandcode-provider is a DeepSeek Harness plugin that adds Command Code as an unofficial LLM provider. It registers a commandcode route and translates harness requests into Command Code’s Provider API at POST /alpha/generate. Its model list comes from GET {apiBase}/provider/v1/models and is cached in ~/.commandcode/models-cache.json. The plugin also adds Settings → Command Code, where the API base, working directory, request and stream timeouts, and API key can be configured. Credentials are stored through the DSH credentials service; connection settings are placed in the llm-commandcode section and apply to the next request.

dsh-commandcode-provider resolves credentials from config.apiKey, the apiKeyEnv credential reference, the launch environment, or ~/.commandcode/auth.json. It annotates models with plan, deal, image and context information, supports catalogued reasoning-effort levels, and sends images through the DSH attachment service when the selected model supports Vision.

It is intended for developers who already have a Command Code account and API key or subscription and want those models in an agent. It is the wrong choice where an official integration is required, where Command Code account setup is unavailable, or where the unofficial reverse-engineered API dependency is unacceptable. The official CLI requires Node.js 22 or newer; Command Code’s terms apply, and the project is not affiliated with Command Code, Inc.

dsh-commandcode-provider documentation

Configuration

The plugin exposes a Command Code settings page. Its connection fields are written to the llm-commandcode configuration section and take effect on the next request without a restart.

Setting Purpose
apiKey Direct API key configuration
apiKeyEnv Credential reference; defaults to COMMANDCODE_API_KEY
API base Command Code API endpoint
Working directory Working directory used for requests
Request timeout Request timeout
Stream timeout Streaming timeout

The model catalogue is fetched from GET {apiBase}/provider/v1/models and cached at ~/.commandcode/models-cache.json.

Credentials and commands

The API-key lookup order is config.apiKey, the credential reference named by apiKeyEnv, the launch environment, then ~/.commandcode/auth.json. The last file is created by the official CLI after authentication.

The documented authentication path requires Node.js 22 or newer:

  • npm i -g command-code@latest installs the CLI.
  • cmd login is used on macOS and Linux.
  • cmdc login is used on native Windows.

The browser-based login stores the key in ~/.commandcode/auth.json. A key can instead be created in Command Code Studio and entered in Settings → Command Code, or supplied through COMMANDCODE_API_KEY.

Model and request behaviour

The commandcode route uses POST /alpha/generate. Its live catalogue displays each model’s minimum plan, an active deal or FREE, an Image marker for Vision models, and a context size such as 1M, 256K or 262K. Models are ordered by plan tier: Go, GOAT, Pro, then Provider/Max.

Reasoning-effort controls are available for models that the official catalogue marks with supported levels. Other reasoning models think automatically. Vision-capable models receive image input through the DSH attachment service; text-only models reject image input with UNSUPPORTED_CONTENT.

Requirements and scope

This is an unofficial community integration. Use requires a Command Code account and API key or subscription, and Command Code’s terms apply. The plugin is not affiliated with Command Code, Inc. Its documented external files are ~/.commandcode/models-cache.json and, when CLI authentication is used, ~/.commandcode/auth.json.

Written from the project's own documentation and kept in sync with it. Where the two disagree, the source is authoritative — read the README on GitHub

Same category

Alternatives to dsh-commandcode-provider

Use ChatGPT (Codex), Claude, and Grok subscriptions as DeepSeek Harness LLM providers, with Settings login, model catalogs, usage, plus image_generate, video_generate, and x_search tools.

Installed cleanly when we ran it

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AI review

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What it is — The plugin integrates ChatGPT (Codex), Claude, Grok, and GitHub Copilot subscriptions as LLM providers for DeepSeek Harness via Settings login, without API keys.

Who it is for — If you are using DeepSeek Harness for complex reasoning tasks and have a Claude or ChatGPT subscription, this plugin is suitable. If you use open-source models or non-subscription LLM providers, you can choose other integration methods.

Watch out — Sandbox test passed: it installed successfully in a fresh profile and registered into the harness profile. The plugin requires providing an API key or token to enable features. Claude supports importing credentials from a Claude Code session or using OAuth login.

The verdict — I would install it because it allows direct use of these subscription models in the model picker without manual token management.

Generated by grok-4.6, and a starting point rather than a verdict. Where it says a plugin installs or does not, that is from a real run in a clean profile — everything else is read off the repository. Trust the source over this.Read the source
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AI review

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The verdict — I would install it because it adds WorkBuddy models to DSH chat with zero extra configuration, but only if you already have the WorkBuddy desktop app logged in.

Generated by grok-4.6, and a starting point rather than a verdict. Where it says a plugin installs or does not, that is from a real run in a clean profile — everything else is read off the repository. Trust the source over this.Read the source
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AI review

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Generated by grok-4.6, and a starting point rather than a verdict. Where it says a plugin installs or does not, that is from a real run in a clean profile — everything else is read off the repository. Trust the source over this.Read the source
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