feat(tool-todo): add the model-facing todo_write tool

Add @deepseek-ai/dsh-tool-todo (a new packages/todo/ group): a model-facing
todo_write(todos: [{content, status}]) tool with whole-list-replace semantics.
Each call appends the full list as a todo/write event to the calling agent's
session log; the current list is the most recent such event (last-write-wins).
Single-owner — a non-agent caller is rejected. Beyond the schema's
type/required/enum checks, execute rejects empty/duplicate content and more than
one in_progress task, narrowing the loosely-typed args into a real TodoItem[].

Both UIs render off the existing session/event: the stdio UI prints a glyphed
checklist; the ACP bridge maps the list to a `plan` sessionUpdate (todosToPlan
synthesizes the priority ACP requires; status maps 1:1). Wired into the
coding-agent, acp-agent, and snapshot example configs with a system-prompt nudge.

Tests: unit (schema, validation, append/replace, no-agent rejection, presentCall,
HMR-safety, Loader export-shape guard), full-loop integration through the agent
loop, the ACP todosToPlan mapping + stream-update arm, the stdio render arm, and
a session/load replay that re-emits the plan. New-group TS wiring added to
tsconfig.base/json/build. RFC + a doc-inventory sweep (architecture, packages
README, AGENTS layout, cookbook group list, example READMEs) ship with it.

The todo-plan ACP snapshot scenario is recorded separately (needs an API key).
This commit is contained in:
Tianyi Cui
2026-06-29 10:30:52 +08:00
parent 4f09157612
commit 46e31d8481
31 changed files with 765 additions and 10 deletions

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@@ -42,6 +42,11 @@
a fresh child agent (it works in its own context and returns only its
final result) — give it a complete, standalone instruction.
For multi-step work, use the todo_write tool to track a task list:
send the WHOLE list each call (it replaces the previous one), keep
exactly one task in_progress, and mark a task completed as soon as it
is done. Skip it for trivial single-step tasks.
# The subagent seam + both in-process backends + two model-facing tools —
# identical to cordis.yml's wiring (only the LLM backend differs above): spawn
# and fork are each reachable via a dsh-tool-subagent bound to it with a distinct
@@ -70,3 +75,8 @@
config:
provider: fork
toolName: subagent_fork
# The model-facing todo_write tool — identical to cordis.yml's wiring, so a
# replayed todo_write tool call resolves to a real tool during snapshot replay.
- id: tool-todo
name: '@deepseek-ai/dsh-tool-todo'

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@@ -51,6 +51,11 @@
a fresh child agent (it works in its own context and returns only its
final result) — give it a complete, standalone instruction.
For multi-step work, use the todo_write tool to track a task list:
send the WHOLE list each call (it replaces the previous one), keep
exactly one task in_progress, and mark a task completed as soon as it
is done. Skip it for trivial single-step tasks.
# The subagent seam + both in-process backends + two model-facing tools, as leaf
# entries after the app (which provides ctx.agents/ctx.tools). spawn (a fresh
# child) and fork (a child seeded with the parent's completed-turn prefix) are
@@ -81,3 +86,8 @@
config:
provider: fork
toolName: subagent_fork
# The model-facing todo_write tool: whole-list task tracking written to the
# session log (todo/write), surfaced to the ACP client as a `plan` update.
- id: tool-todo
name: '@deepseek-ai/dsh-tool-todo'