mirror of https://github.com/deepseek-ai/deepseek-harness synced 2026-08-15 21:04:50 +00:00

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kingwl 02e0756b78 feat(mode): ask_user_question joins the plan allowlist; the section steers to the exit tool

Live-session feedback (a real Zed elicitation round-trip): the model
presented its finished plan as a plain reply and asked the USER to
switch modes — the exact reversal the roadmap warns about — because the
shipped section's 'present it with the exit_plan_mode tool' read as a
suggestion. The section now says a finished plan is delivered by
calling exit_plan_mode, preferred over pasting it as a plain reply or
asking the user to switch modes — firmer, without imperatives.

ask_user_question enters the shipped plan allowlist (asking is
read-only-safe), and the section points a blocked decision at it. The
plan-acp-agent example composes the bash family (default mode only —
plan's allowlist keeps excluding it, so the two modes now demo a real
difference) plus tool-ask-user; both recorded scenarios re-recorded:
the pin now shows plan = [ask_user_question, exit_plan_mode, read,
todo_write] and post-exit default = the full eight-tool surface.

2026-07-10 15:05:26 +08:00

2.6 KiB

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Plan-Mode ACP Agent App Composition

The plan-mode demo composes session modes onto the ACP server: the editor mode picker drives plan mode, and the model exits through the user-reviewed exit_plan_mode tool.

flowchart LR
  cfg["examples/plan-acp-agent<br/>cordis.yml"]
  plugin_plan-acp_llm_deepseek["llm-deepseek<br/>@deepseek-ai/dsh-llm-deepseek"]
  cfg --> plugin_plan-acp_llm_deepseek
  plugin_plan-acp_acp_agent["acp-agent<br/>@deepseek-ai/dsh-acp-agent"]
  cfg --> plugin_plan-acp_acp_agent
  plugin_plan-acp_acp_agent --> bundle_agent_core["@deepseek-ai/dsh-agent-core"]
  plugin_plan-acp_acp_agent --> bundle_jsonl["@deepseek-ai/dsh-session-persistence-jsonl"]
  plugin_plan-acp_acp_agent --> frontdoor_acp["@deepseek-ai/dsh-acp<br/>JSON-RPC stdio bridge<br/>sessions created by client"]
  bundle_agent_core --> spine_llm["ctx.llm"]
  bundle_agent_core --> spine_sessions["ctx.sessions"]
  bundle_agent_core --> spine_tools["ctx.tools + tool-bash"]
  bundle_agent_core --> spine_loop["ctx.agents + ctx.agentLoop"]
  plugin_plan-acp_mode["mode<br/>@deepseek-ai/dsh-mode"]
  cfg --> plugin_plan-acp_mode
  plugin_plan-acp_bash["bash<br/>@deepseek-ai/dsh-bash-local"]
  cfg --> plugin_plan-acp_bash
  plugin_plan-acp_tool_bash["tool-bash<br/>@deepseek-ai/dsh-tool-bash"]
  cfg --> plugin_plan-acp_tool_bash
  plugin_plan-acp_tool_ask_user["tool-ask-user<br/>@deepseek-ai/dsh-tool-ask-user"]
  cfg --> plugin_plan-acp_tool_ask_user
  plugin_plan-acp_fs_local["fs-local<br/>@deepseek-ai/dsh-fs-local"]
  cfg --> plugin_plan-acp_fs_local
  plugin_plan-acp_fs_policy["fs-policy<br/>@deepseek-ai/dsh-fs-policy"]
  cfg --> plugin_plan-acp_fs_policy
  plugin_plan-acp_tool_fs["tool-fs<br/>@deepseek-ai/dsh-tool-fs"]
  cfg --> plugin_plan-acp_tool_fs
  plugin_plan-acp_tool_todo["tool-todo<br/>@deepseek-ai/dsh-tool-todo"]
  cfg --> plugin_plan-acp_tool_todo

Plugin id	Package / module
`llm-deepseek`	`@deepseek-ai/dsh-llm-deepseek`
`acp-agent`	`@deepseek-ai/dsh-acp-agent`
`mode`	`@deepseek-ai/dsh-mode`
`bash`	`@deepseek-ai/dsh-bash-local`
`tool-bash`	`@deepseek-ai/dsh-tool-bash`
`tool-ask-user`	`@deepseek-ai/dsh-tool-ask-user`
`fs-local`	`@deepseek-ai/dsh-fs-local`
`fs-policy`	`@deepseek-ai/dsh-fs-policy`
`tool-fs`	`@deepseek-ai/dsh-tool-fs`
`tool-todo`	`@deepseek-ai/dsh-tool-todo`

Source config: examples/plan-acp-agent/cordis.yml.

Maintenance mode: hybrid: the leaf plugin list is parsed from its cordis.yml; app package expansion is curated from package source.

2.6 KiB Raw Blame History

Plan-Mode ACP Agent App Composition

2.6 KiB

Raw Blame History