dsh-plugin-tokenmarket
Run the following command in DeepSeek Harness:
dsh plugin install FitBBC/dsh-plugin-tokenmarket
Paste the following prompt into your AI chat to install this plugin:
With a DeepSeek Harness developer preview compatible with 0.1.5-rc.1, run the install command to add the bundle from https://github.com/FitBBC/dsh-plugin-tokenmarket as the tokenmarket provider in your profile, then set TOKENMARKET_API_KEY and restart.
About this plugin
Wiring a new model provider into DeepSeek Harness usually means configuring a base URL, selecting a protocol, injecting credentials, and writing adapter glue code for every family you want to serve. dsh-plugin-tokenmarket collapses all of that into a single bundle: it registers Token Market as an OpenAI-compatible tokenmarket provider, mounts the official pi-ai adapter, and lets DeepSeek, Kimi, and GLM model families share one API key. The starter catalog is intentionally small, so each bundled model can be verified and kept current.
In practice the bundle targets everyday inference workflows. Streaming responses keep long-form generation responsive; tool calling works out of the box through the pi-ai adapter with no custom glue; and the DeepSeek-compatible thinking format surfaces reasoning steps in a structured way that is straightforward to debug and render. Live model discovery via GET /v1/models means catalog changes never require a config edit, and credentials stay outside the repository and the configuration file through the TOKENMARKET_API_KEY environment variable.
If you are running the DeepSeek Harness developer preview and want to compare, fall back, or A/B test across multiple model families inside a single profile, this bundle lets you do it with one console and one key, so your attention stays on prompt engineering and application logic rather than provider plumbing.
Use Cases
- Compare DeepSeek, Kimi, and GLM model families inside a single Harness profile with seamless fallback
- Build real-time conversational and agent workflows powered by streaming responses and native tool calling
- Surface structured reasoning chains via the thinking format for easier debugging and frontend rendering
Best For
- DeepSeek Harness developers who need to validate multiple model families in parallel
- Architects looking to manage multi-vendor LLMs through a single authenticated API entry
- AI product engineers focused on tool calling and reasoning-chain display capabilities
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