refactor: remove per-followup result attribution
This commit is contained in:
@@ -2,5 +2,5 @@
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# side as of the last confirmed-consistent state. Both languages carry equal authority;
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# after editing either side, bring the other along and re-record with:
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# pnpm run verify-translation-pairing --write packages/examples/cli-demo/README.md
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README.md: b8f2bde962738a1a23f0e57218ab0f90e8e0b705
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README.zh.md: 0e03375ced4e087d44eed7ff33666abf1f2cec10
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README.md: 6e46ae81421c23806524b0784a976e9f3c8eeab8
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README.zh.md: 4dc5d482e17e87177e7a1ae3a39435879cdd76ce
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@@ -2,7 +2,7 @@
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English | [中文](README.zh.md)
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Headless one-shot app and bin for running one agent task without an interactive UI or editor client. It composes [`@deepseek-ai/dsh-agent-spine-demo`](../agent-spine-demo/README.md), JSONL persistence, and exactly one fresh top-level agent. The bin submits the task, waits for its durable turn ending, renders the selected output, disposes to quiescence, and exits.
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Headless one-shot app and bin for running one agent task without an interactive UI or editor client. It composes [`@deepseek-ai/dsh-agent-spine-demo`](../agent-spine-demo/README.md), JSONL persistence, and exactly one fresh top-level agent. The bin owns one idle-to-idle activity interval, renders its selected output, disposes to quiescence, and exits.
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The package mounts no console logger, interactive UI, user-interaction service, or `ask_user_question` tool. Stdout is reserved for the selected output format; diagnostics use stderr.
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@@ -44,12 +44,12 @@ Loader configs resolve bare package specifiers through the optional native helpe
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### Output formats
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- `text` writes the last assistant message containing text, followed by one newline.
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- `json` writes one DSH-native result record: `{ type: "result", success, sessionId, turn, result, reason, usage? }`. `usage` sums each model step in the task turn once, including billed failed retry attempts that produced usage without a committed assistant message.
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- `stream-json` writes each canonical event from the top-level session's task turn as `{ type: "session_event", sessionId, event }`, then the same result record. Child-agent activity appears only through the parent tool events and results.
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- `json` writes one DSH-native result record: `{ type: "result", sessionId, output, usage? }`. `output` is the last committed assistant text in the activity interval. `usage` sums each model step in that interval once, including billed failed attempts that produced usage without a committed assistant message.
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- `stream-json` writes each canonical event from the top-level session's owned activity interval as `{ type: "session_event", sessionId, event }`, then the same result record. Child-agent activity appears only through the parent tool events and results.
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Only `reason.kind === "completed"` exits successfully. Other durable turn endings still emit partial text or a result record, add a stderr diagnostic, and exit nonzero. Argument and boot failures leave stdout empty. SIGINT and SIGTERM cancel active work, await disposal, and exit 130 and 143 respectively.
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Normal idle completion exits successfully without assigning a turn reason to the task. Argument, boot, observation, and persistence failures leave stdout empty. SIGINT and SIGTERM cancel active work, await disposal, and exit 130 and 143 respectively.
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The task turn is explicitly flushed before final output. Session logs remain under `persistenceRoot` after the process exits.
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The owned activity is explicitly flushed before final output. Session logs remain under `persistenceRoot` after the process exits.
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## Operational safety
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@@ -57,11 +57,11 @@ The headless-agent leaf supplies local bash, filesystem, skill, subagent, workfl
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## Model Experience
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### One-shot task turn
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### One-shot activity
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#### What the model sees
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The positional task becomes one user message. Through `dsh-agent-spine-demo`, the top-level agent also receives configured workspace instructions and persona, the skill catalog, visible tool schemas, and retained tool results needed for later steps in the same turn.
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The positional task becomes one user message. Through `dsh-agent-spine-demo`, the top-level agent also receives configured workspace instructions and persona, the skill catalog, visible tool schemas, and retained tool results needed for later steps in the owned activity.
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#### Token effect
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@@ -75,4 +75,4 @@ Tool-round history is append-only while the one-shot agent's prompt, schemas, mo
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- **One fresh top-level session per process** — its workspace cwd is the launch directory; there is no resume, second prompt, stdin context, or concurrent top-level session in this app.
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- **No interactive question or approval provider** — tools that require a human answer cannot complete unless a different leaf composes a non-interactive provider with explicit policy.
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- **Streaming is top-level-session-only** — child sessions are not flattened into the stream, and aggregate usage covers only model steps recorded on the parent task turn.
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- **Streaming is top-level-session-only** — child sessions are not flattened into the stream, and aggregate usage covers only model steps recorded on the parent activity interval.
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@@ -2,7 +2,7 @@
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[English](README.md) | 中文
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无头单次应用及 bin,用于在没有交互式 UI 或编辑器客户端的情况下运行一项 agent(智能体)任务。它组合 [`@deepseek-ai/dsh-agent-spine-demo`](../agent-spine-demo/README.md)、JSONL 持久化,以及恰好一个新建顶层 agent。bin 提交任务,等待其已持久化的轮次结束状态,渲染所选输出,执行 dispose(资源释放)直至完全停稳,然后退出。
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无头单次应用及 bin,用于在没有交互式 UI 或编辑器客户端的情况下运行一项 agent(智能体)任务。它组合 [`@deepseek-ai/dsh-agent-spine-demo`](../agent-spine-demo/README.md)、JSONL 持久化,以及恰好一个新建顶层 agent。bin 拥有一个从 idle 到 idle 的活动区间,渲染所选输出,执行 dispose(资源释放)直至完全停稳,然后退出。
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该包(package)不挂载 console logger、交互式 UI、用户交互服务或 `ask_user_question` 工具。Stdout 专用于所选输出格式;诊断使用 stderr。
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@@ -44,12 +44,12 @@ loader 配置通过仓库安装的可选原生辅助程序解析裸包说明符
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### 输出格式
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- `text` 写入最后一条含文本的 assistant 消息,后跟一个换行符。
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- `json` 写入一条 DSH 原生结果记录:`{ type: "result", success, sessionId, turn, result, reason, usage? }`。`usage` 对任务轮次中的每个模型步骤恰好求和一次,包括产生用量但没有提交 assistant 消息的已计费失败重试。
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- `stream-json` 将顶层会话任务轮次中的每个规范事件写成 `{ type: "session_event", sessionId, event }`,然后写入同一结果记录。子 agent 活动只通过父工具事件与结果出现。
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- `json` 写入一条 DSH 原生结果记录:`{ type: "result", sessionId, output, usage? }`。`output` 是活动区间内最后提交的 assistant 文本。`usage` 对该区间中的每个模型步骤恰好求和一次,包括产生用量但没有提交 assistant 消息的已计费失败尝试。
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- `stream-json` 将顶层会话自有活动区间中的每个规范事件写成 `{ type: "session_event", sessionId, event }`,然后写入同一结果记录。子 agent 活动只通过父工具事件与结果出现。
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只有 `reason.kind === "completed"` 会成功退出。其他已持久化的轮次结束状态仍会输出部分文本或结果记录,向 stderr 添加诊断,并以非零状态退出。参数和启动失败会让 stdout 保持为空。SIGINT 与 SIGTERM 会取消正在进行的工作,等待 dispose 完成,并分别以 130 和 143 退出。
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正常进入 idle 会成功退出,不会为该任务指定轮次原因。参数、启动、观测和持久化失败会让 stdout 保持为空。SIGINT 与 SIGTERM 会取消正在进行的工作,等待 dispose 完成,并分别以 130 和 143 退出。
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任务轮次会在最终输出前显式刷新。进程退出后,会话日志仍保留在 `persistenceRoot` 下。
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自有活动会在最终输出前显式刷新。进程退出后,会话日志仍保留在 `persistenceRoot` 下。
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## 操作安全
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@@ -57,11 +57,11 @@ headless-agent 叶节点提供本地 bash、文件系统、skill、subagent、
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## 模型体验
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### 单次任务轮次
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### 单次活动
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#### 模型看到的内容
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任务位置参数会成为一条用户消息。通过 `dsh-agent-spine-demo`,顶层 agent 还会收到已配置的工作区指令与 persona、skill 目录、可见工具 schema,以及同一轮次后续步骤所需的保留工具结果。
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任务位置参数会成为一条用户消息。通过 `dsh-agent-spine-demo`,顶层 agent 还会收到已配置的工作区指令与 persona、skill 目录、可见工具 schema,以及自有活动后续步骤所需的保留工具结果。
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#### Token 影响
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@@ -75,4 +75,4 @@ headless-agent 叶节点提供本地 bash、文件系统、skill、subagent、
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- **每个进程只创建一个新的顶层会话**:其工作区 cwd 是启动目录;此应用不支持恢复、第二条提示词、stdin 上下文或并发顶层会话。
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- **没有交互式问题或批准提供方**:需要人工回答的工具无法完成,除非其他叶节点按显式策略组合一个非交互式提供方。
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- **流式输出仅限顶层会话**:子会话不会平铺到流中,聚合用量只涵盖父任务轮次记录的模型步骤。
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- **流式输出仅限顶层会话**:子会话不会平铺到流中,聚合用量只涵盖父活动区间记录的模型步骤。
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@@ -8,7 +8,7 @@ import { parseArgs } from 'node:util'
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import type { Context } from 'cordis'
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import type { Agent } from '@deepseek-ai/dsh-agent'
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import { createUserMessage, type TokenUsage } from '@deepseek-ai/dsh-llm'
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import type { SessionEvent, TurnEndReason } from '@deepseek-ai/dsh-session'
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import type { SessionEvent } from '@deepseek-ai/dsh-session'
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import { boot, loadEnv, resolveConfigPath } from '@deepseek-ai/dsh-app-boot'
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const CLI_NAME = 'dsh-cli-demo'
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@@ -32,11 +32,8 @@ export type CliCommand =
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/** DSH-native final record emitted by JSON modes. */
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export interface CliResult {
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readonly type: 'result'
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readonly success: boolean
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readonly sessionId: string
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readonly turn: number
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readonly result: string
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readonly reason: TurnEndReason
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readonly output: string
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readonly usage?: TokenUsage
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}
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@@ -203,13 +200,8 @@ async function waitForStartupIdle(agent: Agent, signal?: AbortSignal): Promise<v
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}
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/**
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* Run one message-triggered turn on the configured top-level agent, aggregate its
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* final text and model usage, wait for idle plus an explicit persistence flush,
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* and return its durable ending. Only the selected agent's task turn reaches
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* `onEvent`; startup injections and unrelated sessions are ignored. The context
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* must contain exactly one top-level agent. Signal abort cancels that agent; an
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* abort before the correlated task turn rejects. An observer throw cancels the
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* turn and is rethrown after the agent reaches idle and the session flushes.
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* Run one owned activity interval on the configured top-level agent, from the
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* task's durable enqueue receipt through whole-agent idle.
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* @param ctx - settled Loader root containing one agent plus `ctx.sessions`.
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* @param options - task, optional cancellation, and optional stream observer.
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* @returns the DSH-native result envelope after durable quiescence.
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@@ -222,33 +214,12 @@ export async function runOneShot(ctx: Context, options: OneShotOptions): Promise
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}
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await waitForStartupIdle(agent, options.signal)
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let targetTurn: number | undefined
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let reason: TurnEndReason | undefined
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let result = ''
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const message = createUserMessage({ content: [{ type: 'text', text: options.task }], source: { kind: 'user' } })
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let received = false
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let output = ''
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const usageByStep = new Map<string, TokenUsage>()
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let outputError: Error | undefined
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let resolveTurn!: () => void
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let rejectTurn!: (error: Error) => void
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let firstTurnEnded = false
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const turnEnded = new Promise<void>((resolve, reject) => {
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resolveTurn = resolve
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rejectTurn = reject
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})
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const settleResolved = (): void => {
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if (firstTurnEnded) return
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firstTurnEnded = true
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resolveTurn()
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}
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const settleRejected = (error: Error): void => {
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// The once-registered abort listener is the only rejecter, and a settled
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// prompt makes targetTurn defined so onAbort skips rejection entirely;
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// kept for symmetry with settleResolved.
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/* v8 ignore next -- unreachable second settlement, see above */
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if (firstTurnEnded) return
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firstTurnEnded = true
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rejectTurn(error)
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}
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let interrupted: CliInterruptedError | undefined
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const observe = (sessionId: string, event: SessionEvent): void => {
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if (outputError !== undefined || options.onEvent === undefined) return
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try {
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@@ -261,38 +232,29 @@ export async function runOneShot(ctx: Context, options: OneShotOptions): Promise
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const disposeListener = ctx.on('session/event', (session, event) => {
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if (session !== agent.session) return
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if (targetTurn === undefined) {
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if (event.type !== 'turn/start' || event.data.trigger.kind !== 'message') return
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targetTurn = event.data.turn
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} else if (event.type === 'turn/start' && event.data.trigger.kind === 'retry'
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&& reason?.kind === 'error') {
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targetTurn = event.data.turn
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reason = undefined
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if (!received) {
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if (event.type !== 'agent/inbox/spliced'
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|| !event.data.inserted.some(inserted => inserted.id === message.id)) return
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received = true
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}
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observe(session.id, event)
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if (event.type === 'assistant/chunk'
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&& event.data.turn === targetTurn
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&& event.data.chunk.type === 'usage') {
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if (event.type === 'assistant/chunk' && event.data.chunk.type === 'usage') {
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usageByStep.set(`${event.data.turn}/${event.data.step}`, event.data.chunk.usage)
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}
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if (event.type === 'assistant/message' && event.data.turn === targetTurn) {
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result = assistantText(event) ?? result
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if (event.type === 'assistant/message') {
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output = assistantText(event) ?? output
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if (event.data.usage !== undefined) {
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usageByStep.set(`${event.data.turn}/${event.data.step}`, event.data.usage)
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}
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}
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if (event.type === 'turn/end' && event.data.turn === targetTurn) {
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reason = event.data.reason
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settleResolved()
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}
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})
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const signal = options.signal
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let onAbort: (() => void) | undefined
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if (signal !== undefined) {
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onAbort = (): void => {
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interrupted ??= new CliInterruptedError(interruptionReason(signal))
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agent.cancel({ kind: 'user' })
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if (targetTurn === undefined) settleRejected(new CliInterruptedError(interruptionReason(signal)))
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}
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signal.addEventListener('abort', onAbort, { once: true })
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/* v8 ignore next -- closes the race between startup-idle completion and listener registration */
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@@ -300,37 +262,27 @@ export async function runOneShot(ctx: Context, options: OneShotOptions): Promise
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}
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try {
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/* v8 ignore next -- skips send only when cancellation wins the listener-registration race above */
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if (!firstTurnEnded) { // oxlint-disable-line typescript/no-unnecessary-condition
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agent.followup(createUserMessage({ content: [{ type: 'text', text: options.task }], source: { kind: 'user' } }))
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}
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await turnEnded
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if (interrupted === undefined) agent.followup(message)
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await agent.whenIdle()
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} finally {
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if (onAbort !== undefined) signal?.removeEventListener('abort', onAbort)
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await agent.whenIdle()
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disposeListener()
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}
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/* v8 ignore next 3 -- turnEnded resolves only from the matching branch that assigns both values */
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if (targetTurn === undefined || reason === undefined) {
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throw new Error('task ended without a correlated turn/end event')
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}
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await ctx.sessions.flush(agent.session)
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if (outputError !== undefined) throw outputError
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if (interrupted !== undefined) throw interrupted
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const usage = [...usageByStep.values()].reduce<TokenUsage | undefined>(addUsage, undefined)
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return {
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type: 'result',
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success: reason.kind === 'completed',
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sessionId: agent.session.id,
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turn: targetTurn,
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result,
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reason,
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output,
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...usage === undefined ? {} : { usage },
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}
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}
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function renderResult(outputFormat: OutputFormat, result: CliResult): string {
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return outputFormat === 'text' ? `${result.result}\n` : `${JSON.stringify(result)}\n`
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return outputFormat === 'text' ? `${result.output}\n` : `${JSON.stringify(result)}\n`
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}
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/**
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@@ -380,23 +332,6 @@ async function bootInterruptibly(
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}
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}
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/**
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* Render a non-completed turn reason for stderr.
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* @param reason - durable turn ending to describe.
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* @returns a concise diagnostic fragment.
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*/
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export function formatTurnFailure(reason: TurnEndReason): string {
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switch (reason.kind) {
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case 'completed': return 'completed'
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case 'aborted': return 'was aborted'
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case 'error': return `failed at step ${reason.step}: ${'failure' in reason ? reason.failure.message : reason.message}`
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case 'disposed': return 'was disposed'
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case 'max-tokens': return 'reached the model output-token limit'
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case 'interrupted': return 'was interrupted during persistence recovery'
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default: return `ended with ${JSON.stringify(reason)}`
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}
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}
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/**
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* Execute one CLI invocation. Argument and boot failures never write stdout;
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* context disposal is awaited before return, and its failure does not replace
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@@ -451,8 +386,7 @@ export async function executeCli(args: readonly string[], runtime: CliRuntime =
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: {},
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})
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writeStdout(renderResult(command.outputFormat, result))
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exitCode = result.success ? 0 : 1
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if (!result.success) diagnostic = `${CLI_NAME}: turn ${result.turn} ${formatTurnFailure(result.reason)}\n`
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exitCode = 0
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} catch (error: unknown) {
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diagnostic = `${CLI_NAME}: ${toError(error).message}\n`
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} finally {
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Block a user