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dsh-plugin-tokenmarket

模型推理 更新于 2026.09.11

在终端中运行以下命令:

dsh plugin install FitBBC/dsh-plugin-tokenmarket

将以下提示词粘贴到 DeepSeek Harness 对话框中:

在支持 0.1.5-rc.1 的 DeepSeek Harness 开发者预览版中,执行上述安装命令将 https://github.com/FitBBC/dsh-plugin-tokenmarket 打包为 tokenmarket provider 加入 Profile,配置 TOKENMARKET_API_KEY 后即可使用。

插件介绍

Wiring a new model provider into DeepSeek Harness usually means configuring a base URL, protocol, credentials, and writing adapter glue code for each one. dsh-plugin-tokenmarket collapses that into a single bundle install: it registers Token Market as an OpenAI-compatible tokenmarket provider, mounts the official pi-ai adapter, and lets multiple model families share one API key. The starter catalog ships with DeepSeek V4 Pro, Kimi K3, and GLM-5.3, kept intentionally small so every bundled model can be verified and kept current.

The day-to-day experience centers on practical inference workflows. Streaming responses keep long-form generation responsive; tool calling works out of the box through the pi-ai adapter without custom glue; and the DeepSeek-compatible thinking format surfaces reasoning steps in a structured way that is easy to debug and display. Live model discovery via GET /v1/models means catalog changes do not require config edits, and credentials stay outside the repository through the TOKENMARKET_API_KEY environment variable.

If you are on the DeepSeek Harness developer preview (0.1.5-rc.1 compatible) and need to compare, fall back, or A/B test across multiple model families within a single profile, this bundle lets you do it with one console and one key, freeing your attention for prompt engineering and application logic.

使用场景

  • 在单一 Harness Profile 中接入 DeepSeek、Kimi、GLM 多模型家族进行对比与回退
  • 通过流式响应与工具调用构建实时对话及 Agent 工作流
  • 利用 thinking 格式获取结构化推理链,便于调试与前端展示

适合人员

  • 使用 DeepSeek Harness 开发者预览版、需要多模型并行验证的应用开发者
  • 希望统一 API 入口管理多厂商 LLM 的架构师
  • 关注工具调用与推理链展示能力的 AI 产品工程师