DeepSeek Harness plugin

dsh-agnes-paseo

DeepSeek Harness (dsh) 插件:接入 Agnes AI 模型网关,并一键把 dsh 注册为 Paseo 的 ACP provider

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Source facts

Repository
vvlife/dsh-agnes-paseo
Latest update
Aug 13, 2026
Category
Models & Providers
GitHub stars
0
Format
plugin
Catalog evidence
Upstream dsh.bundle evidence
Evidence path
package.json#dsh.bundle
Checked against
0.1.0-rc.8
Upstream check date
2026-08-20

This evidence comes from the upstream catalog. This site has not installed, run, or security-reviewed the plugin.

Install

Start with a prompt that asks an agent to review the GitHub repository and source. Switch to the command if you want to install it yourself.

Copy this prompt into DSH, Codex, or another agent and ask it to review the GitHub repository and source first.

Do not install or run any commands yet. Read this plugin's GitHub repository, README, and relevant source code. Then answer the questions below clearly and directly so I can decide whether it fits my needs:

1. What is this plugin, and what problem does it solve?
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GitHub: https://github.com/vvlife/dsh-agnes-paseo
Plugin: dsh-agnes-paseo
Author: vvlife

Check the source files

Read the README and other files from this plugin directory before installing.

File explorer3 files
README.mdSource · read only

dsh-agnes-paseo

DeepSeek Harness(dsh)插件:接入 Agnes AI 模型网关,并一键把 dsh 注册为 Paseo 的 provider

  • dsh 侧:通过 bundle patch 在 llm-pi-ai 适配器上声明 agnes provider 路由(OpenAI 兼容,https://apihub.agnes-ai.com/v1),并把默认模型切到 agnes/agnes-2.5-flash。纯配置,无构建、无运行时依赖。
  • Paseo 侧:自带一个零依赖的 ACP 桥(dsh-acp-bridge),把 dsh --profile headless 包装成 ACP agent;setup 脚本自动写入 Paseo provider 配置。

安装

dsh plugin --profile headless add github:vvlife/dsh-agnes-paseo
# 如用 dsh web,也装一份到 web profile:
dsh plugin --profile web add github:vvlife/dsh-agnes-paseo

校验挂载成功:

dsh --profile headless --dump-config | grep -A3 agent-default-model
#   provider: agnes
#   model: agnes-2.5-flash

初始化(凭据 + Paseo 注册)

# 在 profile 目录里执行(或直接给绝对路径)
cd ~/.dsh/profiles/headless
pnpm exec dsh-agnes-paseo-setup --key sk-你的AgnesKey

也可以不设 --key,用环境变量 AGNES_API_KEY 或交互式输入。Key 在 platform.agnes-ai.com 创建。

setup 会做三件事:

1. AGNES_API_KEY 写入 ~/.dsh/.credentials.yaml(0600) 2. ACP 桥复制到 ~/.dsh/paseo-bridge/dsh-acp-bridge.mjs 3. ~/.paseo/config.json 写入 provider(原文件备份为 .bak):

"deepseek": {
  "extends": "acp",
  "label": "DeepSeek Harness",
  "command": ["~/.dsh/paseo-bridge/dsh-acp-bridge.mjs"]
}

然后:

paseo daemon restart
paseo provider ls        # deepseek 应为 available

在 Paseo 里新建 agent 选择 DeepSeek Harness,模型下拉里可切 agnes-2.5-flash / agnes-2.5-pro / agnes-2.0-flash

可用模型

模型说明
agnes-2.5-flash默认,快
agnes-2.5-pro更强,慢
agnes-2.0-flash上一代

Agnes 是推理模型,默认 reasoning_effort: low(速度优先)。

注意

  • 每个 Paseo prompt 回合是一次独立的 dsh --profile headless 运行,回合间不保留对话上下文(dsh headless 无 resume)。
  • ACP 桥 spawn 的 dsh 依次探测 /opt/homebrew/bin/dsh/usr/local/bin/dsh、PATH;可用环境变量 DSH_BIN 指定。
  • 卸载插件(dsh plugin --profile headless remove dsh-agnes-paseo)后,dsh 恢复原默认模型;Paseo provider 需手动从 ~/.paseo/config.json 删除 deepseek 条目并 paseo daemon restart
  • Agnes API 文档:<https://wiki.agnes-ai.com>。

License

MIT