Merge remote-tracking branch 'origin/master' into worktree/pr628-merge-20260727

# Conflicts:
#	.agents/notes/implemented/architecture/2026-06-21-bounded-llm-request-recovery.md
#	docs/architecture.i18n.yaml
#	docs/config-catalog.md
#	docs/cordis-catalog/events.md
#	docs/cordis-catalog/services.md
#	docs/core-data-structures/llm-streaming.i18n.yaml
#	docs/core-data-structures/llm-streaming.md
#	docs/core-data-structures/llm-streaming.zh.md
#	docs/event-producer-consumer.md
#	docs/module-graph.md
#	examples/headless-agent/tests/headless.snapshot.ts
#	packages/compact/compact-basic/tests/compact-loop-repro.spec.ts
#	packages/cordis/tool-cordis/src/api-catalog.ts
#	packages/core/agent-loop/README.md
#	packages/core/agent-loop/src/loop.ts
#	packages/examples/agent-spine-demo/README.md
#	packages/llm/README.md
#	packages/llm/llm-deepseek/src/adapter.ts
#	packages/llm/llm-pi-ai/src/adapter.ts
#	packages/llm/llm-retry/README.md
#	packages/llm/llm/README.md
#	packages/llm/llm/src/index.ts
#	packages/llm/llm/tests/service.spec.ts
#	packages/support/llm-replay/src/index.ts
#	packages/support/llm-replay/tests/llm-replay.spec.ts
This commit is contained in:
Tianyi Cui
2026-07-27 22:44:43 +08:00
2019 changed files with 66577 additions and 16794 deletions

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@@ -0,0 +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
README.md: 445804a2611e5e8093eadf345ad10a2a7984c012
README.zh.md: 68ec718afe0b2aca276be2689cbae74167ee1c7b

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@@ -1,5 +1,7 @@
# headless-agent
English | [中文](README.zh.md)
Headless one-shot agent wiring: DeepSeek V4 + local bash and filesystem tools + subagent delegation + workflows and fresh-agent Ralph iteration + `todo_write` + JSONL persistence, with [`@deepseek-ai/dsh-cli-demo`](../../packages/examples/cli-demo) as the app front door.
## Run it

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@@ -0,0 +1,26 @@
# headless-agent
[English](README.md) | 中文
无头单次 agent智能体接线DeepSeek V4 + 本地 bash 与文件系统工具 + subagent 委托 + 工作流与新 agent Ralph 迭代 + `todo_write` + JSONL 持久化,并以 [`@deepseek-ai/dsh-cli-demo`](../../packages/examples/cli-demo) 作为应用入口。
## 运行
```sh
# repo root .env (gitignored) or exported env:
# DEEPSEEK_API_KEY=sk-…
# DEEPSEEK_BASE_URL=https://… # optional; defaults to the public API
pnpm run demo:headless "fix the failing test in this workspace"
pnpm run demo:headless --output-format json -- "summarize the implementation"
pnpm run demo:headless --output-format stream-json -- "run the focused tests"
```
必须提供且只能提供一个非空位置任务;含空格的任务需要加引号。没有 `-p` 标志。`text` 打印最后一条包含文本的 assistant 消息,`json` 打印一条 DSH 原生结果记录,`stream-json` 则在该记录之前发出顶层会话的规范任务轮次事件。子会话只通过父工具事件和结果对外显示。
每次调用都会创建并持久化新会话,在一个轮次中运行所有模型和工具步骤,然后刷新、释放并退出。这是非交互式自动化:没有提示符、批准、恢复、第二轮次或 stdin 上下文。已配置工具可以修改启动 workspace、运行命令、spawn 子 agent并消耗提供方 token。
## 高级与快照接线
[`advanced.cordis.yml`](advanced.cordis.yml) 在已交付叶节点上添加 Code Mode 和 Cordis 工具。[`advanced.cordis.snapshot.yml`](advanced.cordis.snapshot.yml) 只将实时 LLM大语言模型替换为回放。[`tests/`](tests/) 下的测试拥有无密钥真实 Loader 冒烟测试、密钥门控的外部状态验证冒烟测试,以及带父子会话 fixture测试前置数据`stream-json` 回放快照。
包级 [CLI 契约](../../packages/examples/cli-demo/README.md)记录输出记录、退出状态、取消、持久化以及模型token 影响。

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@@ -10,6 +10,8 @@ flowchart LR
cfg["examples/headless-agent<br/>cordis.yml"]
plugin_headless_llm_deepseek["llm-deepseek<br/>@deepseek-ai/dsh-llm-deepseek"]
cfg --> plugin_headless_llm_deepseek
plugin_headless_subprocess["subprocess<br/>@deepseek-ai/dsh-subprocess-local"]
cfg --> plugin_headless_subprocess
plugin_headless_bash["bash<br/>@deepseek-ai/dsh-bash-local"]
cfg --> plugin_headless_bash
plugin_headless_cli_agent["cli-agent<br/>@deepseek-ai/dsh-cli-demo"]
@@ -54,6 +56,7 @@ flowchart LR
| Plugin id | Package / module |
| --- | --- |
| `llm-deepseek` | `@deepseek-ai/dsh-llm-deepseek` |
| `subprocess` | `@deepseek-ai/dsh-subprocess-local` |
| `bash` | `@deepseek-ai/dsh-bash-local` |
| `cli-agent` | `@deepseek-ai/dsh-cli-demo` |
| `token-meter` | `@deepseek-ai/dsh-token-meter` |

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@@ -19,6 +19,10 @@
- id: deepseek-v4-flash
contextWindow: 128000
# Managed child-process groups for the bash executor (spawn/kill/output plumbing).
- id: subprocess
name: '@deepseek-ai/dsh-subprocess-local'
- id: bash
name: '@deepseek-ai/dsh-bash-local'
config:

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@@ -17,6 +17,10 @@
file: !!js process.env.DSH_SNAPSHOT_FILE
overrideFile: !!js process.env.DSH_SNAPSHOT_OVERRIDE
# Managed child-process groups for the bash executor (spawn/kill/output plumbing).
- id: subprocess
name: '@deepseek-ai/dsh-subprocess-local'
- id: bash
name: '@deepseek-ai/dsh-bash-local'
config:

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@@ -13,13 +13,14 @@ import AgentRegistry, { type Agent } from '@deepseek-ai/dsh-agent'
import AgentLoop from '@deepseek-ai/dsh-agent-loop'
import { LocalBashExecutor } from '@deepseek-ai/dsh-bash-local'
import LocalSubprocessService from '@deepseek-ai/dsh-subprocess-local'
import * as ToolBash from '@deepseek-ai/dsh-tool-bash'
import * as LlmDeepSeek from '@deepseek-ai/dsh-llm-deepseek'
import { WorkerCodeRuntime } from '@deepseek-ai/dsh-code-runtime-worker'
import LocalFileSystem from '@deepseek-ai/dsh-fs-local'
import * as ToolFs from '@deepseek-ai/dsh-tool-fs'
import * as WorkspaceContext from '@deepseek-ai/dsh-workspace-context'
import TaskService from '@deepseek-ai/dsh-tasks'
import LocalTaskService from '@deepseek-ai/dsh-tasks-local'
import * as ToolTasks from '@deepseek-ai/dsh-tool-tasks'
import * as ToolCordis from '@deepseek-ai/dsh-tool-cordis'
@@ -55,6 +56,7 @@ async function codeModeHarness(cwd: string): Promise<Context> {
await harness.plugin(AgentRegistry)
await harness.plugin(AgentLoop, { agents: [] })
await harness.plugin(LlmDeepSeek)
await harness.plugin(LocalSubprocessService)
await harness.plugin(LocalBashExecutor, { cwd, timeoutMs: 30_000 })
await harness.plugin(ToolBash)
await harness.plugin(WorkerCodeRuntime, {})
@@ -85,7 +87,7 @@ function runCode(harness: Context, code: string, signal: AbortSignal = testToolS
return harness.tools.execute({
callId: CallId(`keyless-code-${++keylessCall}`),
name: RUN_CODE_NAME,
arguments: { code },
arguments: { code, description: 'Run the e2e program' },
signal,
})
}
@@ -112,8 +114,9 @@ async function typedCodeModeHarness(): Promise<Context> {
/** Keyless real-worker harness with the task-owned bash lifecycle. */
async function backgroundCodeModeHarness(cwd: string): Promise<Context> {
const harness = await typedCodeModeHarness()
await harness.plugin(TaskService)
await harness.plugin(LocalTaskService)
await harness.plugin(ToolTasks, {})
await harness.plugin(LocalSubprocessService)
await harness.plugin(LocalBashExecutor, { cwd, timeoutMs: 30_000 })
await harness.plugin(ToolBash)
return harness

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@@ -1,8 +1,33 @@
import type { Context } from 'cordis'
import { CallId, LlmAdapter, type GenerateOptions, type StreamChunk } from '@deepseek-ai/dsh-llm'
import {
CallId,
LlmAdapter,
ReasoningEffortId,
type GenerateOptions,
type LlmResolvedModelInfo,
type StreamChunk,
} from '@deepseek-ai/dsh-llm'
const HIGH = ReasoningEffortId('high')
const OFF = ReasoningEffortId('off')
/** Keyless headless-agent adapter: one real bash call followed by a final answer. */
class CliMockAdapter extends LlmAdapter {
override async resolveModel(provider: string, model: string): Promise<LlmResolvedModelInfo> {
return {
provider,
id: model,
name: model,
reasoning: {
efforts: [
{ id: OFF, name: 'Off' },
{ id: HIGH, name: 'High' },
],
defaultEffort: HIGH,
},
}
}
async * stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
const toolResult = options.messages.at(-1)?.content.find(block => block.type === 'tool-result')
if (toolResult === undefined) {
@@ -34,4 +59,8 @@ export const inject = ['llm']
/** Register the keyless `cli-mock` adapter. */
export function apply(ctx: Context): void {
ctx.llm.registerAdapter(['cli-mock'], new CliMockAdapter())
ctx.on('agent/request', async (_agent, _turn, step, _config, _signal, next) => {
const config = await next()
return step === 2 ? { ...config, reasoningEffort: OFF } : config
})
}

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@@ -2,6 +2,10 @@
- id: cli-mock-llm
name: '../cli-mock-llm.ts'
# Managed child-process groups for the bash executor (spawn/kill/output plumbing).
- id: subprocess
name: '@deepseek-ai/dsh-subprocess-local'
- id: bash
name: '@deepseek-ai/dsh-bash-local'

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@@ -0,0 +1,43 @@
#!/usr/bin/env node
/**
* Test driver: start a mock OTLP/HTTP collector, boot the telemetry Loader
* composition against it, run one turn whose prompt carries a fixture
* credential, then persist everything the collector captured to
* `./otlp-captures.json` for the e2e's inspect step.
*/
import { writeFile } from 'node:fs/promises'
import { createServer } from 'node:http'
import { once } from 'node:events'
import { boot, resolveConfigPath } from '@deepseek-ai/dsh-app-boot'
import { runOneShot } from '@deepseek-ai/dsh-cli-demo/src/cli.ts'
const configPath = process.argv[2]
if (configPath === undefined) throw new Error('telemetry-otel driver requires a config path')
const captures: unknown[] = []
const server = createServer((request, response) => {
const chunks: Buffer[] = []
request.on('data', chunk => chunks.push(chunk as Buffer))
request.on('end', () => {
captures.push(JSON.parse(Buffer.concat(chunks).toString()))
response.writeHead(200, { 'content-type': 'application/json' }).end('{}')
})
})
server.listen(0, '127.0.0.1')
await once(server, 'listening')
const address = server.address()
if (address === null || typeof address === 'string') throw new Error('collector has no port')
process.env.DSH_TELEMETRY_E2E_URL = `http://127.0.0.1:${address.port}/v1/logs`
const ctx = await boot('telemetry-otel-e2e', resolveConfigPath(configPath, undefined))
try {
// The fixture credential rides the model-visible user message; the exported
// copy must scrub it while the canonical log keeps the original bytes.
await runOneShot(ctx, { task: 'prove telemetry with key sk-e2efixture1234567890' })
} finally {
await ctx.fiber.dispose()
}
await writeFile('./otlp-captures.json', JSON.stringify(captures))
server.close()
server.closeAllConnections()

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@@ -0,0 +1,28 @@
# Test-only composition: session-telemetry-otel through the real Loader/app
# path, exporting to the mock OTLP collector the driver starts (url via env).
# The redact-rule entry models a deployment mounting its own scrub rule on the
# telemetry/record waterfall — the seam itself ships no rules.
- id: cli-mock-llm
name: './cli-mock-llm.ts'
- id: telemetry-redact-rule
name: './telemetry-redact-rule.ts'
- id: bash
name: '@deepseek-ai/dsh-bash-local'
- id: telemetry-otel
name: '@deepseek-ai/dsh-session-telemetry-otel'
config:
exporter:
url: !!js process.env.DSH_TELEMETRY_E2E_URL
- id: cli-agent
name: '@deepseek-ai/dsh-cli-demo'
config:
provider: cli-mock
model: cli-mock
persona: 'Test the session-telemetry-otel plugin.'
persistenceRoot: './.sessions'
persistenceCompression: 'none'
workspaceContext: false

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@@ -0,0 +1,29 @@
import type { Context } from 'cordis'
/**
* Deployment-style redaction rule for the telemetry e2e: scrubs the fixture
* credential from body strings, exactly as a real deployment would mount its
* own rules on the `telemetry/record` waterfall.
*/
const SECRET = /sk-e2efixture[0-9]+/g
const PLACEHOLDER = '[E2E-REDACTED]'
function scrub(value: unknown): unknown {
if (typeof value === 'string') return value.replace(SECRET, PLACEHOLDER)
if (Array.isArray(value)) return value.map(scrub)
if (value !== null && typeof value === 'object') {
return Object.fromEntries(Object.entries(value).map(([key, entry]) => [key, scrub(entry)]))
}
return value
}
export const name = 'telemetry-redact-rule'
/** Mount the fixture scrub rule onto the redact waterfall. */
export function apply(ctx: Context): void {
ctx.on('telemetry/record', (_record, next) => {
const record = next()
return { ...record, body: scrub(record.body) }
})
}

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@@ -2,6 +2,10 @@
- id: time-context-mock-llm
name: './time-context-mock-llm.ts'
# Managed child-process groups for the bash executor (spawn/kill/output plumbing).
- id: subprocess
name: '@deepseek-ai/dsh-subprocess-local'
- id: bash
name: '@deepseek-ai/dsh-bash-local'

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@@ -4,6 +4,7 @@ import type { Agent } from '@deepseek-ai/dsh-agent'
import AgentLoop from '@deepseek-ai/dsh-agent-loop'
import { mountAgentLoopTestDependencies } from '@deepseek-ai/dsh-agent-loop-testkit'
import { LocalBashExecutor } from '@deepseek-ai/dsh-bash-local'
import LocalSubprocessService from '@deepseek-ai/dsh-subprocess-local'
import * as ToolBash from '@deepseek-ai/dsh-tool-bash'
import * as ToolTodo from '@deepseek-ai/dsh-tool-todo'
import * as LlmDeepSeek from '@deepseek-ai/dsh-llm-deepseek'
@@ -59,6 +60,7 @@ export async function codingHarness(workdir: string, options: CodingHarnessOptio
await ctx.plugin(LlmDeepSeek, options.modelContextWindow === undefined ? {} : {
models: [{ id: 'deepseek-v4-flash', contextWindow: options.modelContextWindow }],
})
await ctx.plugin(LocalSubprocessService)
await ctx.plugin(LocalBashExecutor, { cwd: workdir, timeoutMs: 30_000 })
await ctx.plugin(ToolBash)
await ctx.plugin(ToolTodo)

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@@ -30,6 +30,7 @@ const ralphScenarioDir = join(snapshotsDir, 'ralph-loop')
const ralphConfigPath = fileURLToPath(new URL('../ralph.cordis.snapshot.yml', import.meta.url))
const binScript = fileURLToPath(new URL('../../../packages/examples/cli-demo/src/bin.ts', import.meta.url))
const tsconfigPath = fileURLToPath(new URL('../../../tsconfig.json', import.meta.url))
const reasoningConfigPath = fileURLToPath(new URL('./fixtures/cli.cordis.yml', import.meta.url))
const refreshing = process.env.DSH_SNAPSHOT === 'refresh'
interface JsonObject {
@@ -166,6 +167,46 @@ describe('headless stream-json snapshots', () => {
expect(normalized).toBe(await readFile(streamExpected, 'utf8'))
}, LOADER_SMOKE_TEST_TIMEOUT_MS)
it('logs the model default and a dynamic next-step reasoning effort', async () => {
const result = await runLoaderSmoke({
label: 'reasoning effort headless stream-json snapshot',
tempDirPrefix: 'headless-snapshot-reasoning-effort-',
binScript,
configPath: reasoningConfigPath,
binArgs: ['--config', reasoningConfigPath, '--output-format', 'stream-json', 'prove dynamic reasoning effort'],
tsconfigPath,
})
expect(result.stderr).toBe('')
const headers = parseJsonl(result.stdout)
.map(record => record.event)
.filter((event): event is JsonObject => (
event !== null
&& typeof event === 'object'
&& !Array.isArray(event)
&& 'type' in event
&& event.type === 'request/header'
))
.map((event) => {
const data = event.data as JsonObject
return (data.header as JsonObject).config
})
expect(headers).toMatchInlineSnapshot(`
[
{
"model": "cli-mock",
"provider": "cli-mock",
"reasoningEffort": "high",
},
{
"model": "cli-mock",
"provider": "cli-mock",
"reasoningEffort": "off",
},
]
`)
}, LOADER_SMOKE_TEST_TIMEOUT_MS)
it('replays the advanced toolchain through the one-shot app', async () => {
const prompt = await scenarioPrompt(advancedScenarioDir, 'advanced-toolchain')
const fixtureFiles = [

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@@ -14,52 +14,53 @@
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/end","seq":13,"time":0,"data":{"turn":1,"step":1}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/start","seq":14,"time":0,"data":{"turn":1,"step":2}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":15,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":16,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"tool-call-delta","index":0,"id":"advanced-code","name":"run_code","argumentsDelta":"{\"code\":\"return await tools.cordis_inspect({ what: 'dynamic' })\"}"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":17,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"advanced-code","name":"run_code","arguments":"{\"code\":\"return await tools.cordis_inspect({ what: 'dynamic' })\"}"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":16,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"tool-call-delta","index":0,"id":"advanced-code","name":"run_code","argumentsDelta":"{\"code\": \"return await tools.cordis_inspect({ what: 'dynamic' })\", \"description\": \"Run the scripted inspection program\"}"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":17,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"advanced-code","name":"run_code","arguments":"{\"code\": \"return await tools.cordis_inspect({ what: 'dynamic' })\", \"description\": \"Run the scripted inspection program\"}"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":18,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"usage","usage":{"inputTokens":3,"outputTokens":3}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":19,"time":0,"data":{"turn":1,"step":2,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/message","seq":20,"time":0,"data":{"turn":1,"step":2,"content":[{"type":"tool-call","id":"advanced-code","name":"run_code","arguments":"{\"code\":\"return await tools.cordis_inspect({ what: 'dynamic' })\"}"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":3,"outputTokens":3}},"sourceEventSeqs":[15,16,17,18,19],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"tool/call","seq":21,"time":0,"data":{"turn":1,"step":2,"callId":"advanced-code","name":"run_code","arguments":"{\"code\":\"return await tools.cordis_inspect({ what: 'dynamic' })\"}"}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"tool/code-dispatch","seq":22,"time":0,"data":{"parentCallId":"advanced-code","subCallId":"advanced-code:code:1","name":"cordis_inspect","arguments":{"what":"dynamic"},"isError":false,"resultSummary":"## dynamic\n- dyn-1: snapshot-marker [active]"}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"tool/result","seq":23,"time":0,"data":{"turn":1,"step":2,"callId":"advanced-code","content":[{"type":"text","text":"## dynamic\n- dyn-1: snapshot-marker [active]"}],"isError":false},"sourceEventSeqs":[21],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/end","seq":24,"time":0,"data":{"turn":1,"step":2}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/start","seq":25,"time":0,"data":{"turn":1,"step":3}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":26,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":27,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"tool-call-delta","index":0,"id":"advanced-direct-child","name":"subagent","argumentsDelta":"{\"description\":\"Check direct child\",\"prompt\":\"Reply with exactly DIRECT_CHILD_OK and nothing else.\"}"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":28,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"advanced-direct-child","name":"subagent","arguments":"{\"description\":\"Check direct child\",\"prompt\":\"Reply with exactly DIRECT_CHILD_OK and nothing else.\"}"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":29,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"usage","usage":{"inputTokens":3,"outputTokens":3}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":30,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/message","seq":31,"time":0,"data":{"turn":1,"step":3,"content":[{"type":"tool-call","id":"advanced-direct-child","name":"subagent","arguments":"{\"description\":\"Check direct child\",\"prompt\":\"Reply with exactly DIRECT_CHILD_OK and nothing else.\"}"}],"provenance":{"provider":"deepseek","model":"deepseek-v4-flash"},"usage":{"inputTokens":3,"outputTokens":3}},"sourceEventSeqs":[26,27,28,29,30],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"tool/call","seq":32,"time":0,"data":{"turn":1,"step":3,"callId":"advanced-direct-child","name":"subagent","arguments":"{\"description\":\"Check direct child\",\"prompt\":\"Reply with exactly DIRECT_CHILD_OK and nothing else.\"}"}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"tool/result","seq":33,"time":0,"data":{"turn":1,"step":3,"callId":"advanced-direct-child","content":[{"type":"text","text":"DIRECT_CHILD_OK"}],"isError":false},"sourceEventSeqs":[32],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/end","seq":34,"time":0,"data":{"turn":1,"step":3}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/start","seq":35,"time":0,"data":{"turn":1,"step":4}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":36,"time":0,"data":{"turn":1,"step":4,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}}
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