fix(tool-goal): let the model deliver a wrap-up message after a goal-round complete/blocked

A goal round reporting complete or blocked used to conclude the turn at
the tool result, so the model never spoke after the call and sessions
ended on a bare update_goal card. The terminal update now defers one
plugin-sourced <goal_complete>/<goal_blocked> instruction onto its
result asking for a grounded closing message without further tool
calls; the turn then ends through the ordinary no-tool-calls stop.
Direct-human mutations stay uninstructed. Wording chosen by A/B
sampling on deepseek-v4-pro; one extra request per goal lifecycle.

New keyless ACP snapshot goal-wrapup drives the shipped app through
create -> round one -> autonomous complete and pins the injection, the
same-turn closing message, and the completed turn end.
This commit is contained in:
ZiyaZhang
2026-08-02 05:58:45 -07:00
parent 04d43e3b19
commit 666ef95f81
19 changed files with 334 additions and 19 deletions

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# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write .agents/notes/implemented/bug-fix/2026-08-02-goal-round-wrapup-message.md
2026-08-02-goal-round-wrapup-message.md: c6bc3d5912b0789efde55880c2be892e98e34a5b
2026-08-02-goal-round-wrapup-message.zh.md: 0a504b4dcc61feb932775b3d9ffd8424f3b0597d

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# Agent Note: Goal-round wrap-up message
Status: implemented
English | [中文](2026-08-02-goal-round-wrapup-message.zh.md)
## Problem
An autonomous goal round that reported `update_goal` `complete` or `blocked` concluded the physical turn at the tool result, so the model never spoke after the call. Sessions ended on a bare `update_goal` card, and internal testers read that as the agent stopping mid-sentence: the model's pre-call text routinely announces a report ("goal achieved, marking complete:") that never arrives, because the standard tool-use expectation is one more assistant message after a tool result and neither the goal-round prompt nor the tool description said the call was terminal. The hard stop came from the [goal-tool decision](../feature/2026-07-19-model-facing-goal-tools.md), whose turn-stop clause this note supersedes.
## Decision
A goal-round `complete` or `blocked` success no longer calls `concludeTurn()`. Instead the tool defers one wrap-up context onto its own result: a `{ kind: 'plugin', plugin: 'tool-goal' }`-sourced user message carrying a `<goal_complete>`/`<goal_blocked>` instruction to write a grounded closing message to the user and call no more tools. The turn then ends through the agent loop's ordinary no-tool-calls stop, so no new loop primitive exists and steering semantics are untouched. Direct-human mutations remain uninstructed exactly as before. The cost is one additional model request per goal lifecycle, not per round.
The instruction wording was selected by A/B sampling on `deepseek-v4-pro` with a reconstructed goal-round transcript: a structured instruction (outcome, verification, artifacts, next steps) consistently beat a minimal "summarize" one on completeness; adding a session-grounding clause shifted unsupported detail from asserted fact to hedged suggestion; and the no-instruction control produced high-variance closings, including confidently fabricated file-level detail.
Scripting the keyless proof required one snapshot-harness addition: `dsh-llm-replay` resolves `{{fromRequest:<regex>}}` placeholders in scripted entries against the live request, because a static sidecar cannot know the randomly minted goal id the model must echo into `update_goal`.
## Verification
`tool-goal` package tests pin the injected context (source, tag, objective, no-more-tools clause) and the absent `concludesTurn` for both terminal actions, plus the uninstructed direct-human pause and complete paths, at 100% file coverage. `llm-replay` unit tests pin the placeholder contract: last-match-wins capture, whole-match fallback, and loud failures for unmatched, invalid, and unterminated patterns. The new keyless ACP snapshot `goal-wrapup` drives the shipped application through create → round one → autonomous complete and asserts the plugin-sourced wrap-up injection, the same-turn closing assistant message, and the `completed` turn end in both the durable session log and the ACP stdout stream.
## Alternatives considered
- **Surface the completion text on the `update_goal` UI card** — rejected: `complete` carries no free text today, and adding a `summary` argument would route a user-facing report through tool arguments while still cutting off the model's natural post-result message.
- **Keep `concludeTurn()` and add a "one more text-only step" loop primitive** — rejected: new `agent-loop` machinery for behavior the ordinary stop already provides once nothing concludes the turn.
- **Instruct inside the tool result content** — rejected: the goal tools' canonical output is compact JSON consumed programmatically; a prose instruction block inside it would mix the model-facing contract with the tool's replayable value.
## Consequences
Every autonomous goal ends with a user-facing closing message instead of a bare tool card, at the cost of one model request per goal lifecycle. `concludeTurn()` keeps its loop semantics but loses its only first-party caller outside subagent structured output. Snapshot scenarios can now script values that only exist at run time via `{{fromRequest:...}}`, which unblocks keyless coverage of any echo-an-id tool flow, goal or otherwise.

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# Agent NoteGoal Round 收尾消息
Status: implemented
[English](2026-08-02-goal-round-wrapup-message.md) | 中文
## 问题
自主 Goal Round 报告 `update_goal` `complete``blocked` 时,物理轮次在工具结果处直接终结,模型在调用之后再无发言机会。会话终止在一张裸的 `update_goal` 卡片上,内测同学的观感是 agent 话说到一半戛然而止:模型调用前的文本通常预告了一份汇报(“目标达成,标记完成:”)却永远没有下文,因为标准 tool-use 预期是工具结果之后还有一条 assistant 消息,而 Goal Round 提示词与工具描述都没有说明这次调用是终点。硬停止来自 [goal 工具决策](../feature/2026-07-19-model-facing-goal-tools.md),本 note 取代其中的轮次停止条款。
## 决策
Goal Round 的 `complete``blocked` 成功不再调用 `concludeTurn()`。工具改为在自己的结果上附带一条收尾上下文:以 `{ kind: 'plugin', plugin: 'tool-goal' }` 为 source 的 user 消息,携带 `<goal_complete>`/`<goal_blocked>` 指令,要求模型向用户写出有依据的收尾消息且不再调用工具。之后轮次经由 agent loop 常规的无工具调用停止路径结束,因此不存在新的 loop 原语steering 语义不受影响。人类直接变更保持原样、不注入指令。代价是每个 goal 生命周期一次额外模型请求,而非每轮一次。
指令措辞通过在 `deepseek-v4-pro` 上用重构的 Goal Round 转录做 A/B 采样选定:结构化指令(结果、验证、产物、后续)在完整度上稳定优于极简“总结一下”;补充“以会话内证据为准”的 grounding 条款让无依据细节从断言事实退为带保留的建议;而无指令对照组的收尾方差很大,包括言之凿凿的文件级细节编造。
为让 keyless 证明可脚本化,快照设施补了一项能力:`dsh-llm-replay` 会针对实时请求解析脚本条目中的 `{{fromRequest:<regex>}}` 占位符,因为静态伴随文件不可能预知模型必须回填进 `update_goal` 的随机生成 goal id。
## 验证
`tool-goal` 包测试钉住两个终态 action 注入的上下文source、标签、objective、禁止再调工具条款与不存在的 `concludesTurn`,以及人类直接 pause 与 complete 的不注入路径,文件覆盖率 100%。`llm-replay` 单元测试钉住占位符契约:最后一次匹配取胜的捕获、无捕获组时整体匹配回退,以及未匹配、非法、未闭合模式的明确报错。新增 keyless ACP 快照 `goal-wrapup` 驱动成品应用走完 create → 第一轮 → 自主 complete并在持久会话日志与 ACP stdout 流中同时断言 plugin 来源的收尾注入、同轮内的收尾 assistant 消息与 `completed` 轮次结束。
## 曾考虑的替代方案
- **在 `update_goal` 的 UI 卡片上展示完成文本** — 拒绝:`complete` 如今不携带任何自由文本;新增 `summary` 参数会让面向用户的汇报走工具参数通道,而且依然砍掉了模型在结果之后的自然发言。
- **保留 `concludeTurn()` 并新增“再多一步纯文本”的 loop 原语** — 拒绝:为常规停止路径已经能提供的行为(只要没有结果终结轮次)增加新的 `agent-loop` 机制。
- **把指令写进工具结果内容** — 拒绝goal 工具的规范输出是被程序化消费的紧凑 JSON在其中混入散文指令会把模型侧契约和工具的可回放值搅在一起。
## Consequences
每个自主 goal 都以一条面向用户的收尾消息结束,而非一张裸工具卡片,代价是每个 goal 生命周期一次模型请求。`concludeTurn()` 保留其 loop 语义,但在 subagent 结构化输出之外失去了唯一的一方调用者。快照场景现在可以通过 `{{fromRequest:...}}` 脚本化只在运行时才存在的值,为任何“回显 id”类工具流程不限于 goal解锁 keyless 覆盖。

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@@ -1,6 +1,6 @@
# Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
# side as of the last confirmed-consistent state. Both languages carry equal authority;
# after editing either side, bring the other along and re-record with:
# pnpm run verify-translation-pairing --write
2026-07-19-model-facing-goal-tools.md: bc4305af80bb13ceeff1888d489dcd8a00132f94
2026-07-19-model-facing-goal-tools.zh.md: b07f62aa526902c4b2e9c081777a76ca53783d31
# pnpm run verify-translation-pairing --write .agents/notes/implemented/feature/2026-07-19-model-facing-goal-tools.md
2026-07-19-model-facing-goal-tools.md: 18235c484194f5daf10556ebfc13bdc2d672be2e
2026-07-19-model-facing-goal-tools.zh.md: cc23a76e5faac2c203052d834ca0a87ca5dbed2a

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All three tools use exclusive execution so a model-ordered batch observes prior mutations and their new revisions. Results are compact JSON. UI presentation is a pure function of arguments and uses generic read or mutation cards; mutation cards select meaningful action values before the goal id, so accepted fillers cannot blank their input. Activation is reported only as live observation and is never written into replay state.
An autonomous goal round that successfully reports completion or blocking marks its tool result as concluding the physical turn, preventing an unnecessary follow-up request. Direct-human mutations do not conclude the turn: the assistant can acknowledge the change, and concurrent human steering remains available to ordinary stopping checks.
An autonomous goal round that successfully reports completion or blocking defers one wrap-up instruction onto its tool result so the model still addresses the user before the turn ends through the ordinary no-tool-calls stop; the original conclude-at-result stop is superseded by the [goal-round wrap-up decision](../bug-fix/2026-08-02-goal-round-wrapup-message.md). Direct-human mutations receive no instruction: the assistant can acknowledge the change, and concurrent human steering remains available to ordinary stopping checks.
### Execution authority

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三个工具都采用独占执行,使模型排序的批次可以观察此前变更及其新修订号。结果为紧凑 JSON。UI 展示是参数的纯函数,使用通用读取或变更卡片;变更卡片选择输入时,先取有实际意义的操作值,再取目标 id因此允许的占位值不会使卡片输入留空。激活态仅作为实时观察返回绝不会写入回放状态。
自主目标回合成功报告完成或阻塞后,其工具结果会被标记为结束该物理轮次,避免再发起一次不必要的模型请求。直接人类发起的变更不会结束轮次agent 可以确认该变更,并且并发的人类 steering中途引导仍可参与普通的停止检查。
自主目标回合成功报告完成或阻塞后,其工具结果会附带一条收尾指令,模型仍会在轮次经由常规无工具调用停止路径结束前向用户发言;原先在结果处终结轮次的做法已被[Goal Round 收尾决策](../bug-fix/2026-08-02-goal-round-wrapup-message.md)取代。直接人类发起的变更不会收到指令agent 可以确认该变更,并且并发的人类 steering中途引导仍可参与普通的停止检查。
### 执行权限