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Merge commit '5a0d28e200d89dca2b8004d9cd624629a1409a3f' into codex/bounded-background-tasks-v2

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# Conflicts:
#	.agents/notes/implemented/architecture/2026-06-20-generic-long-running-tool-runtime.i18n.yaml
#	.agents/notes/implemented/architecture/2026-06-20-generic-long-running-tool-runtime.md
#	.agents/notes/implemented/architecture/2026-06-20-generic-long-running-tool-runtime.zh.md
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pku-xht
2026-08-11 22:28:38 +08:00
parent fe09a45fca 564a853a04
commit e3ac9e85e5
422 changed files with 15607 additions and 1120 deletions
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examples/README.i18n.yaml
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@@ -2,5 +2,5 @@
# 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 examples/README.md
README.md: 5d021d9d9c7abae90b5f96bccd6447f4e2c3dc57
README.zh.md: 66b355a93c0a0e6b53d1353de4024b7f86e82f7c
README.md: b6e91bc544111275c1dfc07067eff97fde1ceb12
README.zh.md: e8eee83446aa9e3232957d567e510a3998f39ec8

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examples/README.md
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@@ -20,6 +20,10 @@ An unattended coding agent driven through the Python SDK and JSON-RPC. See the [
A self-referential agent that can inspect and change its in-memory Cordis plugin tree. See the [web-cordis example reference](web-cordis/README.md).
## web-schedule
An opt-in Web overlay for durable, Session-local reminders. It supports positive whole-second `after_seconds` delays and absolute `at` targets through `schedule_create`, `schedule_list`, and `schedule_delete`; active reminders persist in the original Session, resume when that Session becomes live again, and do not run while it is cold. Run `dsh web --patch examples/web-schedule/cordis.yml`; see [web-schedule/README.md](web-schedule/README.md) for absolute-time authority, delivery, and recovery boundaries.
## acp-agent
An Agent Client Protocol automation server for programmatic clients, with session, permission, and cancellation support. See the [ACP example reference](acp-agent/README.md).

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examples/README.zh.md
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@@ -20,6 +20,10 @@
能够检查并更改内存中 Cordis 插件树的自指 agent。详见 [web-cordis 示例参考](web-cordis/README.md)。
## web-schedule
用于持久、仅限 Session 内提醒的显式 Web overlay。它通过 `schedule_create`、`schedule_list` 和 `schedule_delete` 支持正整数秒的 `after_seconds` 延时与绝对 `at` 目标；活动提醒保存在原 Session 中，该 Session 再次 live 时恢复，而 cold 期间不会运行。使用 `dsh web --patch examples/web-schedule/cordis.yml` 启动；绝对时间 authority 以及交付与恢复边界详见 [web-schedule/README.md](web-schedule/README.md)。
## acp-agent
面向程序化客户端的 ACP（Agent Client Protocol）自动化服务器，支持会话、权限和取消操作。详见 [ACP 示例参考](acp-agent/README.md)。

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examples/acp-agent/tests/snapshots/advanced-toolchain/session.1.jsonl
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@@ -6,7 +6,7 @@
{"type":"subagent/descriptor","seq":4,"time":1786357538308,"data":{"version":2,"mode":"one-shot","provider":"spawn","label":"Check direct child"}}
{"type":"step/start","seq":5,"time":1786357538310,"data":{"turn":1,"step":1}}
{"type":"user/message","seq":6,"time":1785730458555,"data":{"content":[{"type":"text","text":"Reply with exactly DIRECT_CHILD_OK and nothing else."}],"source":{"kind":"user"},"role":"user","id":"ebe0cfa0-a909-47e0-8294-28ad84a8fe77"},"surfaceOp":"append"}
{"type":"user/message","seq":7,"time":1786357538310,"data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.\n\nApproval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`).\n\nYou are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}],"source":{"kind":"plugin","plugin":"@deepseek-ai/dsh-system-prompt","form":"snapshot","sections":[{"name":"sandbox:policy","text":"Current DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations."},{"name":"approval:policy","text":"Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."},{"name":"subagent:delegation","text":"You are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}]},"role":"user","id":"1f81ee1b-b08e-4fba-a075-426e41dd03d4"},"surfaceOp":"append"}
{"type":"user/message","seq":7,"time":1786357538310,"data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.\n\nApproval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`).\n\nYou are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}],"source":{"kind":"plugin","plugin":"@deepseek-ai/dsh-system-prompt","form":"snapshot","sections":[{"name":"sandbox:policy","text":"Current DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations."},{"name":"approval:policy","text":"Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."},{"name":"subagent:delegation","text":"You are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}]},"role":"user","id":"10c6c81d-85a2-4c50-a8c2-2f58f309f070"},"surfaceOp":"append"}
{"type":"session/title","seq":8,"time":1786357538310,"data":{"title":"Reply with exactly DIRECT_CHILD_OK and","messageSeqs":[6],"source":{"kind":"fallback"}}}
{"type":"request/header","seq":9,"time":1785730458555,"data":{"header":{"config":{"provider":"deepseek-official","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
{"type":"request/context","seq":10,"time":1785730458555,"data":{"provider":"deepseek-official","model":"deepseek-v4-flash"}}

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examples/acp-agent/tests/snapshots/advanced-toolchain/session.2.jsonl
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@@ -6,7 +6,7 @@
{"type":"subagent/descriptor","seq":4,"time":1786357538469,"data":{"version":2,"mode":"one-shot","provider":"spawn"}}
{"type":"step/start","seq":5,"time":1786357538470,"data":{"turn":1,"step":1}}
{"type":"user/message","seq":6,"time":1785730458703,"data":{"content":[{"type":"text","text":"Reply with exactly WORKFLOW_CHILD_OK and nothing else."}],"source":{"kind":"user"},"role":"user","id":"2ac2cc54-9bce-4cfa-a569-a64f51bc30a7"},"surfaceOp":"append"}
{"type":"user/message","seq":7,"time":1786357538471,"data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.\n\nApproval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`).\n\nYou are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}],"source":{"kind":"plugin","plugin":"@deepseek-ai/dsh-system-prompt","form":"snapshot","sections":[{"name":"sandbox:policy","text":"Current DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations."},{"name":"approval:policy","text":"Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."},{"name":"subagent:delegation","text":"You are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}]},"role":"user","id":"dbf0fe20-f0e0-4700-b0fc-d192f5e7b1ca"},"surfaceOp":"append"}
{"type":"user/message","seq":7,"time":1786357538471,"data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.\n\nApproval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`).\n\nYou are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}],"source":{"kind":"plugin","plugin":"@deepseek-ai/dsh-system-prompt","form":"snapshot","sections":[{"name":"sandbox:policy","text":"Current DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations."},{"name":"approval:policy","text":"Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."},{"name":"subagent:delegation","text":"You are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}]},"role":"user","id":"5a8c5ad7-352c-475a-9356-87510cc6b1a8"},"surfaceOp":"append"}
{"type":"session/title","seq":8,"time":1786357538471,"data":{"title":"Reply with exactly WORKFLOW_CHILD_OK and","messageSeqs":[6],"source":{"kind":"fallback"}}}
{"type":"request/header","seq":9,"time":1785730458703,"data":{"header":{"config":{"provider":"deepseek-official","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
{"type":"request/context","seq":10,"time":1785730458703,"data":{"provider":"deepseek-official","model":"deepseek-v4-flash"}}

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examples/acp-agent/tests/snapshots/advanced-toolchain/session.jsonl
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@@ -31,12 +31,12 @@
{"type":"step/end","seq":29,"time":1785730458520,"data":{"turn":1,"step":2}}
{"type":"step/start","seq":30,"time":1785730458527,"data":{"turn":1,"step":3}}
{"type":"assistant/chunk","seq":31,"time":1783950000029,"data":{"turn":1,"step":3,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}
{"type":"assistant/chunk","seq":32,"time":1783950000030,"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":"assistant/chunk","seq":33,"time":1785036891179,"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":"assistant/chunk","seq":32,"time":1783950000030,"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.\",\"run_in_background\":false}"}}}
{"type":"assistant/chunk","seq":33,"time":1785036891179,"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.\",\"run_in_background\":false}"}}}}
{"type":"assistant/chunk","seq":34,"time":1785498801872,"data":{"turn":1,"step":3,"chunk":{"type":"usage","usage":{"inputTokens":3,"outputTokens":3}}}}
{"type":"assistant/chunk","seq":35,"time":1785730458531,"data":{"turn":1,"step":3,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}
{"type":"assistant/message","seq":36,"time":1785730458531,"data":{"turn":1,"step":3,"message":{"role":"assistant","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.\"}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"51fe1d59-eebc-457b-a072-fe217546ff04"},"usage":{"inputTokens":3,"outputTokens":3}},"sourceEventSeqs":[31,32,33,34,35],"surfaceOp":"append"}
{"type":"tool/call","seq":37,"time":1785730458531,"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":"assistant/message","seq":36,"time":1785730458531,"data":{"turn":1,"step":3,"message":{"role":"assistant","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.\",\"run_in_background\":false}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"51fe1d59-eebc-457b-a072-fe217546ff04"},"usage":{"inputTokens":3,"outputTokens":3}},"sourceEventSeqs":[31,32,33,34,35],"surfaceOp":"append"}
{"type":"tool/call","seq":37,"time":1785730458531,"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.\",\"run_in_background\":false}"}}
{"type":"tool/result","seq":38,"time":1785730458562,"data":{"turn":1,"step":3,"message":{"source":{"kind":"tool","callId":"advanced-direct-child"},"content":[{"type":"tool-result","toolCallId":"advanced-direct-child","content":[{"type":"text","text":"DIRECT_CHILD_OK"}],"isError":false}],"role":"user","id":"09028579-5ae5-4d57-955e-02504f4dfc2a"}},"sourceEventSeqs":[37],"surfaceOp":"append"}
{"type":"step/end","seq":39,"time":1785730458563,"data":{"turn":1,"step":3}}
{"type":"step/start","seq":40,"time":1785730458572,"data":{"turn":1,"step":4}}

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examples/acp-agent/tests/snapshots/advanced-toolchain/system-prompt.expected.md
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@@ -21,6 +21,8 @@ Use the workflow tool ONLY when the user explicitly asks for a workflow or for l
Use the ralph tool ONLY when the direct human explicitly asks for a Ralph loop or fresh-agent iterative execution. Each Ralph round starts a fresh child with no conversation seed and uses the shared workspace as durable memory. Completion and blockers are worker reports, not independent evaluation. Use same-session goal tools for ordinary long-running objectives, and plain subagents or workflows for bounded delegation and fan-out.
Use subagent in the background by default. Start independent delegations together in one assistant message and continue useful work while they run. Set `run_in_background: false` only when your next action depends on that subagent's result. When a background run settles, the runtime sends you a notice containing its outcome and any final assistant message.
## Writing code for run_code
Pass `run_code` the body of an async TypeScript function (erasable syntax only — no `enum` or namespaces; type annotations are advisory, the code runs type-stripped). Inside the program:
@@ -132,16 +134,16 @@ interface ToolArgsMap {
/** The exact skill name from the available skills list. */
name: string;
} & Record<string, JsonValue>;
/** Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: this call returns only its subagent id, and the subagent works on its own from there. You are told when it finishes, so never poll or wait on it; `send_message` sends it more work. */
/** Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result. */
subagent: {
/** A short (3-5 word) description of the delegated task, for display. */
description: string;
/** The complete, self-contained task for the subagent. It does not share this conversation's context, so include everything it needs. */
prompt: string;
/** Run as a background subagent that keeps its conversation and return only its subagent id. This call does not wait for it; you are told when it finishes. Send it more work with send_message. */
/** Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it. */
run_in_background?: boolean;
} & Record<string, JsonValue>;
/** Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps. */
/** Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This call waits for the subagent and returns its result. */
subagent_fork: {
/** A short (3-5 word) description of the delegated task, for display. */
description: string;

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examples/acp-agent/tests/snapshots/advanced-toolchain/tool-schemas.expected.json
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@@ -309,7 +309,7 @@
},
{
"name": "subagent",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: this call returns only its subagent id, and the subagent works on its own from there. You are told when it finishes, so never poll or wait on it; `send_message` sends it more work.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result.",
"parameters": {
"type": "object",
"properties": {
@@ -323,7 +323,7 @@
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background subagent that keeps its conversation and return only its subagent id. This call does not wait for it; you are told when it finishes. Send it more work with send_message."
"description": "Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it."
}
},
"required": [
@@ -334,7 +334,7 @@
},
{
"name": "subagent_fork",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps.",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This call waits for the subagent and returns its result.",
"parameters": {
"type": "object",
"properties": {

6
examples/acp-agent/tests/snapshots/both-mode-turn/tool-schemas.expected.json
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@@ -252,7 +252,7 @@
},
{
"name": "subagent",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: this call returns only its subagent id, and the subagent works on its own from there. You are told when it finishes, so never poll or wait on it; `send_message` sends it more work.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result.",
"parameters": {
"type": "object",
"properties": {
@@ -266,7 +266,7 @@
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background subagent that keeps its conversation and return only its subagent id. This call does not wait for it; you are told when it finishes. Send it more work with send_message."
"description": "Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it."
}
},
"required": [
@@ -277,7 +277,7 @@
},
{
"name": "subagent_fork",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps.",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This call waits for the subagent and returns its result.",
"parameters": {
"type": "object",
"properties": {

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examples/acp-agent/tests/snapshots/code-mode-turn/system-prompt.expected.md
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@@ -21,6 +21,8 @@ Use the workflow tool ONLY when the user explicitly asks for a workflow or for l
Use the ralph tool ONLY when the direct human explicitly asks for a Ralph loop or fresh-agent iterative execution. Each Ralph round starts a fresh child with no conversation seed and uses the shared workspace as durable memory. Completion and blockers are worker reports, not independent evaluation. Use same-session goal tools for ordinary long-running objectives, and plain subagents or workflows for bounded delegation and fan-out.
Use subagent in the background by default. Start independent delegations together in one assistant message and continue useful work while they run. Set `run_in_background: false` only when your next action depends on that subagent's result. When a background run settles, the runtime sends you a notice containing its outcome and any final assistant message.
## Writing code for run_code
Pass `run_code` the body of an async TypeScript function (erasable syntax only — no `enum` or namespaces; type annotations are advisory, the code runs type-stripped). Inside the program:
@@ -115,16 +117,16 @@ interface ToolArgsMap {
/** The exact skill name from the available skills list. */
name: string;
} & Record<string, JsonValue>;
/** Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: this call returns only its subagent id, and the subagent works on its own from there. You are told when it finishes, so never poll or wait on it; `send_message` sends it more work. */
/** Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result. */
subagent: {
/** A short (3-5 word) description of the delegated task, for display. */
description: string;
/** The complete, self-contained task for the subagent. It does not share this conversation's context, so include everything it needs. */
prompt: string;
/** Run as a background subagent that keeps its conversation and return only its subagent id. This call does not wait for it; you are told when it finishes. Send it more work with send_message. */
/** Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it. */
run_in_background?: boolean;
} & Record<string, JsonValue>;
/** Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps. */
/** Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This call waits for the subagent and returns its result. */
subagent_fork: {
/** A short (3-5 word) description of the delegated task, for display. */
description: string;

2
examples/acp-agent/tests/snapshots/lsp-definition/system-prompt.expected.md
View File

@@ -22,3 +22,5 @@ Use goal tools for one long-running completion objective in the current session.
Use the workflow tool ONLY when the user explicitly asks for a workflow or for large multi-agent orchestration: you write a JavaScript script (the tool description documents the exact format) that fans work out across many subagents with phases and structured results. For one or two delegations, prefer plain subagent calls.
Use the ralph tool ONLY when the direct human explicitly asks for a Ralph loop or fresh-agent iterative execution. Each Ralph round starts a fresh child with no conversation seed and uses the shared workspace as durable memory. Completion and blockers are worker reports, not independent evaluation. Use same-session goal tools for ordinary long-running objectives, and plain subagents or workflows for bounded delegation and fan-out.
Use subagent in the background by default. Start independent delegations together in one assistant message and continue useful work while they run. Set `run_in_background: false` only when your next action depends on that subagent's result. When a background run settles, the runtime sends you a notice containing its outcome and any final assistant message.

6
examples/acp-agent/tests/snapshots/lsp-definition/tool-schemas.expected.json
View File

@@ -268,7 +268,7 @@
},
{
"name": "subagent",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: this call returns only its subagent id, and the subagent works on its own from there. You are told when it finishes, so never poll or wait on it; `send_message` sends it more work.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result.",
"parameters": {
"type": "object",
"properties": {
@@ -282,7 +282,7 @@
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background subagent that keeps its conversation and return only its subagent id. This call does not wait for it; you are told when it finishes. Send it more work with send_message."
"description": "Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it."
}
},
"required": [
@@ -293,7 +293,7 @@
},
{
"name": "subagent_fork",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps.",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This call waits for the subagent and returns its result.",
"parameters": {
"type": "object",
"properties": {

10
examples/acp-agent/tests/snapshots/product-subagent-both/tool-schemas.expected.json
View File

@@ -231,7 +231,7 @@
},
{
"name": "subagent",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: this call returns only its subagent id, and the subagent works on its own from there. You are told when it finishes, so never poll or wait on it; `send_message` sends it more work.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result.",
"parameters": {
"type": "object",
"properties": {
@@ -245,7 +245,7 @@
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background subagent that keeps its conversation and return only its subagent id. This call does not wait for it; you are told when it finishes. Send it more work with send_message."
"description": "Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it."
}
},
"required": [
@@ -256,7 +256,7 @@
},
{
"name": "subagent_claude_code",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This call waits for the subagent and returns its result.",
"parameters": {
"type": "object",
"properties": {
@@ -277,7 +277,7 @@
},
{
"name": "subagent_codex",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This call waits for the subagent and returns its result.",
"parameters": {
"type": "object",
"properties": {
@@ -298,7 +298,7 @@
},
{
"name": "subagent_fork",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps.",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This call waits for the subagent and returns its result.",
"parameters": {
"type": "object",
"properties": {

2
examples/acp-agent/tests/snapshots/product-subagent-codex/system-prompt.expected.md
View File

@@ -20,3 +20,5 @@ Use goal tools for one long-running completion objective in the current session.
Use the workflow tool ONLY when the user explicitly asks for a workflow or for large multi-agent orchestration: you write a JavaScript script (the tool description documents the exact format) that fans work out across many subagents with phases and structured results. For one or two delegations, prefer plain subagent calls.
Use the ralph tool ONLY when the direct human explicitly asks for a Ralph loop or fresh-agent iterative execution. Each Ralph round starts a fresh child with no conversation seed and uses the shared workspace as durable memory. Completion and blockers are worker reports, not independent evaluation. Use same-session goal tools for ordinary long-running objectives, and plain subagents or workflows for bounded delegation and fan-out.
Use subagent in the background by default. Start independent delegations together in one assistant message and continue useful work while they run. Set `run_in_background: false` only when your next action depends on that subagent's result. When a background run settles, the runtime sends you a notice containing its outcome and any final assistant message.

8
examples/acp-agent/tests/snapshots/product-subagent-codex/tool-schemas.expected.json
View File

@@ -231,7 +231,7 @@
},
{
"name": "subagent",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: this call returns only its subagent id, and the subagent works on its own from there. You are told when it finishes, so never poll or wait on it; `send_message` sends it more work.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result.",
"parameters": {
"type": "object",
"properties": {
@@ -245,7 +245,7 @@
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background subagent that keeps its conversation and return only its subagent id. This call does not wait for it; you are told when it finishes. Send it more work with send_message."
"description": "Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it."
}
},
"required": [
@@ -256,7 +256,7 @@
},
{
"name": "subagent_codex",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This call waits for the subagent and returns its result.",
"parameters": {
"type": "object",
"properties": {
@@ -277,7 +277,7 @@
},
{
"name": "subagent_fork",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps.",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This call waits for the subagent and returns its result.",
"parameters": {
"type": "object",
"properties": {

2
examples/acp-agent/tests/snapshots/pty-tools/system-prompt.expected.md
View File

@@ -22,3 +22,5 @@ Use goal tools for one long-running completion objective in the current session.
Use the workflow tool ONLY when the user explicitly asks for a workflow or for large multi-agent orchestration: you write a JavaScript script (the tool description documents the exact format) that fans work out across many subagents with phases and structured results. For one or two delegations, prefer plain subagent calls.
Use the ralph tool ONLY when the direct human explicitly asks for a Ralph loop or fresh-agent iterative execution. Each Ralph round starts a fresh child with no conversation seed and uses the shared workspace as durable memory. Completion and blockers are worker reports, not independent evaluation. Use same-session goal tools for ordinary long-running objectives, and plain subagents or workflows for bounded delegation and fan-out.
Use subagent in the background by default. Start independent delegations together in one assistant message and continue useful work while they run. Set `run_in_background: false` only when your next action depends on that subagent's result. When a background run settles, the runtime sends you a notice containing its outcome and any final assistant message.

6
examples/acp-agent/tests/snapshots/pty-tools/tool-schemas.expected.json
View File

@@ -231,7 +231,7 @@
},
{
"name": "subagent",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: this call returns only its subagent id, and the subagent works on its own from there. You are told when it finishes, so never poll or wait on it; `send_message` sends it more work.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result.",
"parameters": {
"type": "object",
"properties": {
@@ -245,7 +245,7 @@
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background subagent that keeps its conversation and return only its subagent id. This call does not wait for it; you are told when it finishes. Send it more work with send_message."
"description": "Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it."
}
},
"required": [
@@ -256,7 +256,7 @@
},
{
"name": "subagent_fork",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps.",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This call waits for the subagent and returns its result.",
"parameters": {
"type": "object",
"properties": {

6
examples/acp-agent/tests/snapshots/read-image/tool-schemas.expected.json
View File

@@ -247,7 +247,7 @@
},
{
"name": "subagent",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: this call returns only its subagent id, and the subagent works on its own from there. You are told when it finishes, so never poll or wait on it; `send_message` sends it more work.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result.",
"parameters": {
"type": "object",
"properties": {
@@ -261,7 +261,7 @@
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background subagent that keeps its conversation and return only its subagent id. This call does not wait for it; you are told when it finishes. Send it more work with send_message."
"description": "Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it."
}
},
"required": [
@@ -272,7 +272,7 @@
},
{
"name": "subagent_fork",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps.",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This call waits for the subagent and returns its result.",
"parameters": {
"type": "object",
"properties": {

2
examples/acp-agent/tests/snapshots/session-query-spill/system-prompt.expected.md
View File

@@ -22,3 +22,5 @@ Use goal tools for one long-running completion objective in the current session.
Use the workflow tool ONLY when the user explicitly asks for a workflow or for large multi-agent orchestration: you write a JavaScript script (the tool description documents the exact format) that fans work out across many subagents with phases and structured results. For one or two delegations, prefer plain subagent calls.
Use the ralph tool ONLY when the direct human explicitly asks for a Ralph loop or fresh-agent iterative execution. Each Ralph round starts a fresh child with no conversation seed and uses the shared workspace as durable memory. Completion and blockers are worker reports, not independent evaluation. Use same-session goal tools for ordinary long-running objectives, and plain subagents or workflows for bounded delegation and fan-out.
Use subagent in the background by default. Start independent delegations together in one assistant message and continue useful work while they run. Set `run_in_background: false` only when your next action depends on that subagent's result. When a background run settles, the runtime sends you a notice containing its outcome and any final assistant message.

6
examples/acp-agent/tests/snapshots/session-query-spill/tool-schemas.expected.json
View File

@@ -435,7 +435,7 @@
},
{
"name": "subagent",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: this call returns only its subagent id, and the subagent works on its own from there. You are told when it finishes, so never poll or wait on it; `send_message` sends it more work.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result.",
"parameters": {
"type": "object",
"properties": {
@@ -449,7 +449,7 @@
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background subagent that keeps its conversation and return only its subagent id. This call does not wait for it; you are told when it finishes. Send it more work with send_message."
"description": "Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it."
}
},
"required": [
@@ -460,7 +460,7 @@
},
{
"name": "subagent_fork",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps.",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This call waits for the subagent and returns its result.",
"parameters": {
"type": "object",
"properties": {

10
examples/acp-agent/tests/snapshots/subagent-child-question-rejection/session.jsonl
View File

@@ -9,13 +9,13 @@
{"type":"request/header","seq":7,"time":1786173701218,"data":{"header":{"config":{"provider":"deepseek-official","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
{"type":"request/context","seq":8,"time":1786173701219,"data":{"provider":"deepseek-official","model":"deepseek-v4-flash"}}
{"type":"assistant/chunk","seq":9,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}
{"type":"assistant/chunk","seq":10,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":0,"id":"call_question_child","name":"subagent","argumentsDelta":"{\"description\":\"Check deployment question\",\"prompt\":\"Call ask_user_question once to ask whether deployment should use the CUDA fallback. If the tool returns an error, include the unresolved question verbatim in your final result.\"}"}}}
{"type":"assistant/chunk","seq":11,"time":1786173701233,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_question_child","name":"subagent","arguments":"{\"description\":\"Check deployment question\",\"prompt\":\"Call ask_user_question once to ask whether deployment should use the CUDA fallback. If the tool returns an error, include the unresolved question verbatim in your final result.\"}"}}}}
{"type":"assistant/chunk","seq":10,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":0,"id":"call_question_child","name":"subagent","argumentsDelta":"{\"description\":\"Check deployment question\",\"prompt\":\"Call ask_user_question once to ask whether deployment should use the CUDA fallback. If the tool returns an error, include the unresolved question verbatim in your final result.\", \"run_in_background\":false}"}}}
{"type":"assistant/chunk","seq":11,"time":1786173701233,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_question_child","name":"subagent","arguments":"{\"description\":\"Check deployment question\",\"prompt\":\"Call ask_user_question once to ask whether deployment should use the CUDA fallback. If the tool returns an error, include the unresolved question verbatim in your final result.\", \"run_in_background\":false}"}}}}
{"type":"assistant/chunk","seq":12,"time":1786173701233,"data":{"turn":1,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":10,"outputTokens":5}}}}
{"type":"assistant/chunk","seq":13,"time":1786173701233,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}
{"type":"assistant/message","seq":14,"time":1786173701233,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"tool-call","id":"call_question_child","name":"subagent","arguments":"{\"description\":\"Check deployment question\",\"prompt\":\"Call ask_user_question once to ask whether deployment should use the CUDA fallback. If the tool returns an error, include the unresolved question verbatim in your final result.\"}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"f8909de9-23ae-4dbe-a8c1-eaf1e8f2aba5"},"usage":{"inputTokens":10,"outputTokens":5}},"sourceEventSeqs":[9,10,11,12,13],"surfaceOp":"append"}
{"type":"tool/call","seq":15,"time":1786173701234,"data":{"turn":1,"step":1,"callId":"call_question_child","name":"subagent","arguments":"{\"description\":\"Check deployment question\",\"prompt\":\"Call ask_user_question once to ask whether deployment should use the CUDA fallback. If the tool returns an error, include the unresolved question verbatim in your final result.\"}"}}
{"type":"tool/result","seq":16,"time":1786173701316,"data":{"turn":1,"step":1,"message":{"source":{"kind":"tool","callId":"call_question_child"},"content":[{"type":"tool-result","toolCallId":"call_question_child","content":[{"type":"text","text":"UNRESOLVED: Should deployment use the CUDA fallback?"}],"isError":false}],"role":"user","id":"fdc5b075-574b-48c6-bdda-1b6442edfbef"}},"sourceEventSeqs":[15],"surfaceOp":"append"}
{"type":"assistant/message","seq":14,"time":1786173701233,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"tool-call","id":"call_question_child","name":"subagent","arguments":"{\"description\":\"Check deployment question\",\"prompt\":\"Call ask_user_question once to ask whether deployment should use the CUDA fallback. If the tool returns an error, include the unresolved question verbatim in your final result.\", \"run_in_background\":false}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"f8909de9-23ae-4dbe-a8c1-eaf1e8f2aba5"},"usage":{"inputTokens":10,"outputTokens":5}},"sourceEventSeqs":[9,10,11,12,13],"surfaceOp":"append"}
{"type":"tool/call","seq":15,"time":1786173701234,"data":{"turn":1,"step":1,"callId":"call_question_child","name":"subagent","arguments":"{\"description\":\"Check deployment question\",\"prompt\":\"Call ask_user_question once to ask whether deployment should use the CUDA fallback. If the tool returns an error, include the unresolved question verbatim in your final result.\", \"run_in_background\":false}"}}
{"type":"tool/result","seq":16,"time":1786173701316,"data":{"turn":1,"step":1,"message":{"source":{"kind":"tool","callId":"call_question_child"},"content":[{"type":"tool-result","toolCallId":"call_question_child","content":[{"type":"text","text":"UNRESOLVED: Should deployment use the CUDA fallback?"}],"isError":false}],"role":"user","id":"1f6384c7-3d6b-4472-968f-2a4a4e3aba79"}},"sourceEventSeqs":[15],"surfaceOp":"append"}
{"type":"step/end","seq":17,"time":1786173701317,"data":{"turn":1,"step":1}}
{"type":"step/start","seq":18,"time":1786173701334,"data":{"turn":1,"step":2}}
{"type":"assistant/chunk","seq":19,"time":1786173701339,"data":{"turn":1,"step":2,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}

6
examples/acp-agent/tests/snapshots/subagent-child-question-rejection/tool-schemas.expected.json
View File

@@ -294,7 +294,7 @@
},
{
"name": "subagent",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: this call returns only its subagent id, and the subagent works on its own from there. You are told when it finishes, so never poll or wait on it; `send_message` sends it more work.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result.",
"parameters": {
"type": "object",
"properties": {
@@ -308,7 +308,7 @@
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background subagent that keeps its conversation and return only its subagent id. This call does not wait for it; you are told when it finishes. Send it more work with send_message."
"description": "Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it."
}
},
"required": [
@@ -319,7 +319,7 @@
},
{
"name": "subagent_fork",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps.",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This call waits for the subagent and returns its result.",
"parameters": {
"type": "object",
"properties": {

2
examples/acp-agent/tests/snapshots/subagent-continuable-inheritance/system-prompt.1.expected.md
View File

@@ -21,4 +21,6 @@ Use the workflow tool ONLY when the user explicitly asks for a workflow or for l
Use the ralph tool ONLY when the direct human explicitly asks for a Ralph loop or fresh-agent iterative execution. Each Ralph round starts a fresh child with no conversation seed and uses the shared workspace as durable memory. Completion and blockers are worker reports, not independent evaluation. Use same-session goal tools for ordinary long-running objectives, and plain subagents or workflows for bounded delegation and fan-out.
Use subagent in the background by default. Start independent delegations together in one assistant message and continue useful work while they run. Set `run_in_background: false` only when your next action depends on that subagent's result. When a background run settles, the runtime sends you a notice containing its outcome and any final assistant message.
Deliver your result with the report tool before you finish: call it once with a self-contained answer. The agent that started you shares your workspace but does not automatically receive your transcript, tool output, or reasoning, so a closing remark such as "done" leaves it nothing it can use. Report earlier as well whenever a partial finding changes what that agent should do next; reporting never ends your turn.

6
examples/acp-agent/tests/snapshots/subagent-continuable-inheritance/tool-schemas.1.expected.json
View File

@@ -247,7 +247,7 @@
},
{
"name": "subagent",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: this call returns only its subagent id, and the subagent works on its own from there. You are told when it finishes, so never poll or wait on it; `send_message` sends it more work.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result.",
"parameters": {
"type": "object",
"properties": {
@@ -261,7 +261,7 @@
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background subagent that keeps its conversation and return only its subagent id. This call does not wait for it; you are told when it finishes. Send it more work with send_message."
"description": "Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it."
}
},
"required": [
@@ -272,7 +272,7 @@
},
{
"name": "subagent_fork",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps.",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This call waits for the subagent and returns its result.",
"parameters": {
"type": "object",
"properties": {

2
examples/acp-agent/tests/snapshots/subagent-continuable/system-prompt.1.expected.md
View File

@@ -21,4 +21,6 @@ Use the workflow tool ONLY when the user explicitly asks for a workflow or for l
Use the ralph tool ONLY when the direct human explicitly asks for a Ralph loop or fresh-agent iterative execution. Each Ralph round starts a fresh child with no conversation seed and uses the shared workspace as durable memory. Completion and blockers are worker reports, not independent evaluation. Use same-session goal tools for ordinary long-running objectives, and plain subagents or workflows for bounded delegation and fan-out.
Use subagent in the background by default. Start independent delegations together in one assistant message and continue useful work while they run. Set `run_in_background: false` only when your next action depends on that subagent's result. When a background run settles, the runtime sends you a notice containing its outcome and any final assistant message.
Deliver your result with the report tool before you finish: call it once with a self-contained answer. The agent that started you shares your workspace but does not automatically receive your transcript, tool output, or reasoning, so a closing remark such as "done" leaves it nothing it can use. Report earlier as well whenever a partial finding changes what that agent should do next; reporting never ends your turn.

6
examples/acp-agent/tests/snapshots/subagent-continuable/tool-schemas.1.expected.json
View File

@@ -247,7 +247,7 @@
},
{
"name": "subagent",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: this call returns only its subagent id, and the subagent works on its own from there. You are told when it finishes, so never poll or wait on it; `send_message` sends it more work.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result.",
"parameters": {
"type": "object",
"properties": {
@@ -261,7 +261,7 @@
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background subagent that keeps its conversation and return only its subagent id. This call does not wait for it; you are told when it finishes. Send it more work with send_message."
"description": "Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it."
}
},
"required": [
@@ -272,7 +272,7 @@
},
{
"name": "subagent_fork",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps.",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This call waits for the subagent and returns its result.",
"parameters": {
"type": "object",
"properties": {

4
examples/acp-agent/tests/snapshots/subagent-depth-two-rejection/replay.override.json
View File

@@ -3,8 +3,8 @@
"kind": "chunks",
"chunks": [
{ "type": "block-start", "index": 0, "blockType": "tool-call" },
{ "type": "tool-call-delta", "index": 0, "id": "call_root_child", "name": "subagent", "argumentsDelta": "{\"description\":\"Start depth one\",\"prompt\":\"Call subagent once. Ask that child to attempt one further subagent call, then report the result.\"}" },
{ "type": "block-end", "index": 0, "block": { "type": "tool-call", "id": "call_root_child", "name": "subagent", "arguments": "{\"description\":\"Start depth one\",\"prompt\":\"Call subagent once. Ask that child to attempt one further subagent call, then report the result.\"}" } },
{ "type": "tool-call-delta", "index": 0, "id": "call_root_child", "name": "subagent", "argumentsDelta": "{\"description\":\"Start depth one\",\"prompt\":\"Call subagent once. Ask that child to attempt one further subagent call, then report the result.\",\"run_in_background\":false}" },
{ "type": "block-end", "index": 0, "block": { "type": "tool-call", "id": "call_root_child", "name": "subagent", "arguments": "{\"description\":\"Start depth one\",\"prompt\":\"Call subagent once. Ask that child to attempt one further subagent call, then report the result.\",\"run_in_background\":false}" } },
{ "type": "usage", "usage": { "inputTokens": 10, "outputTokens": 5 } },
{ "type": "finish", "reason": { "kind": "tool-calls" } }
]

10
examples/acp-agent/tests/snapshots/subagent-depth-two-rejection/session.1.jsonl
View File

@@ -6,17 +6,17 @@
{"type":"subagent/descriptor","seq":4,"time":1786357533600,"data":{"version":2,"mode":"one-shot","provider":"spawn","label":"Start depth one"}}
{"type":"step/start","seq":5,"time":1786357533602,"data":{"turn":1,"step":1}}
{"type":"user/message","seq":6,"time":1785730456014,"data":{"content":[{"type":"text","text":"Call subagent once. Ask that child to attempt one further subagent call, then report the result."}],"source":{"kind":"user"},"role":"user","id":"a8129357-1bde-4cbd-90b4-6b8ad51d52e1"},"surfaceOp":"append"}
{"type":"user/message","seq":7,"time":1786357533602,"data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.\n\nApproval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`).\n\nYou are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}],"source":{"kind":"plugin","plugin":"@deepseek-ai/dsh-system-prompt","form":"snapshot","sections":[{"name":"sandbox:policy","text":"Current DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations."},{"name":"approval:policy","text":"Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."},{"name":"subagent:delegation","text":"You are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}]},"role":"user","id":"d8d6b5bf-db7b-484f-8095-e35915b94274"},"surfaceOp":"append"}
{"type":"user/message","seq":7,"time":1786357533602,"data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.\n\nApproval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`).\n\nYou are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}],"source":{"kind":"plugin","plugin":"@deepseek-ai/dsh-system-prompt","form":"snapshot","sections":[{"name":"sandbox:policy","text":"Current DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations."},{"name":"approval:policy","text":"Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."},{"name":"subagent:delegation","text":"You are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}]},"role":"user","id":"837ea332-428c-4e4a-b3f1-df24dd20c93a"},"surfaceOp":"append"}
{"type":"session/title","seq":8,"time":1786357533602,"data":{"title":"Call subagent once. Ask that","messageSeqs":[6],"source":{"kind":"fallback"}}}
{"type":"request/header","seq":9,"time":1785730456014,"data":{"header":{"config":{"provider":"deepseek-official","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
{"type":"request/context","seq":10,"time":1785730456014,"data":{"provider":"deepseek-official","model":"deepseek-v4-flash"}}
{"type":"assistant/chunk","seq":11,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}
{"type":"assistant/chunk","seq":12,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":0,"id":"call_depth_one_child","name":"subagent","argumentsDelta":"{\"description\":\"Start depth two\",\"prompt\":\"Attempt one subagent call beyond the configured cap, then report the rejection.\"}"}}}
{"type":"assistant/chunk","seq":13,"time":1785498798883,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_depth_one_child","name":"subagent","arguments":"{\"description\":\"Start depth two\",\"prompt\":\"Attempt one subagent call beyond the configured cap, then report the rejection.\"}"}}}}
{"type":"assistant/chunk","seq":12,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":0,"id":"call_depth_one_child","name":"subagent","argumentsDelta":"{\"description\":\"Start depth two\",\"prompt\":\"Attempt one subagent call beyond the configured cap, then report the rejection.\",\"run_in_background\":false}"}}}
{"type":"assistant/chunk","seq":13,"time":1785498798883,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_depth_one_child","name":"subagent","arguments":"{\"description\":\"Start depth two\",\"prompt\":\"Attempt one subagent call beyond the configured cap, then report the rejection.\",\"run_in_background\":false}"}}}}
{"type":"assistant/chunk","seq":14,"time":1785730456018,"data":{"turn":1,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":10,"outputTokens":5}}}}
{"type":"assistant/chunk","seq":15,"time":1785730456018,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}
{"type":"assistant/message","seq":16,"time":1785730456018,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"tool-call","id":"call_depth_one_child","name":"subagent","arguments":"{\"description\":\"Start depth two\",\"prompt\":\"Attempt one subagent call beyond the configured cap, then report the rejection.\"}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"21044d12-2e0e-40e3-b47e-4920e21c3e83"},"usage":{"inputTokens":10,"outputTokens":5}},"sourceEventSeqs":[11,12,13,14,15],"surfaceOp":"append"}
{"type":"tool/call","seq":17,"time":1785730456019,"data":{"turn":1,"step":1,"callId":"call_depth_one_child","name":"subagent","arguments":"{\"description\":\"Start depth two\",\"prompt\":\"Attempt one subagent call beyond the configured cap, then report the rejection.\"}"}}
{"type":"assistant/message","seq":16,"time":1785730456018,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"tool-call","id":"call_depth_one_child","name":"subagent","arguments":"{\"description\":\"Start depth two\",\"prompt\":\"Attempt one subagent call beyond the configured cap, then report the rejection.\",\"run_in_background\":false}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"21044d12-2e0e-40e3-b47e-4920e21c3e83"},"usage":{"inputTokens":10,"outputTokens":5}},"sourceEventSeqs":[11,12,13,14,15],"surfaceOp":"append"}
{"type":"tool/call","seq":17,"time":1785730456019,"data":{"turn":1,"step":1,"callId":"call_depth_one_child","name":"subagent","arguments":"{\"description\":\"Start depth two\",\"prompt\":\"Attempt one subagent call beyond the configured cap, then report the rejection.\",\"run_in_background\":false}"}}
{"type":"tool/result","seq":18,"time":1785730456072,"data":{"turn":1,"step":1,"message":{"source":{"kind":"tool","callId":"call_depth_one_child"},"content":[{"type":"tool-result","toolCallId":"call_depth_one_child","content":[{"type":"text","text":"DEPTH_REJECTED"}],"isError":false}],"role":"user","id":"aa5451a8-812b-4a51-a52c-dbc5c84f16d0"}},"sourceEventSeqs":[17],"surfaceOp":"append"}
{"type":"step/end","seq":19,"time":1785730456072,"data":{"turn":1,"step":1}}
{"type":"step/start","seq":20,"time":1785730456082,"data":{"turn":1,"step":2}}

10
examples/acp-agent/tests/snapshots/subagent-depth-two-rejection/session.2.jsonl
View File

@@ -6,17 +6,17 @@
{"type":"subagent/descriptor","seq":4,"time":1786357533628,"data":{"version":2,"mode":"one-shot","provider":"spawn","label":"Start depth two"}}
{"type":"step/start","seq":5,"time":1786357533630,"data":{"turn":1,"step":1}}
{"type":"user/message","seq":6,"time":1785730456041,"data":{"content":[{"type":"text","text":"Attempt one subagent call beyond the configured cap, then report the rejection."}],"source":{"kind":"user"},"role":"user","id":"d4dc5a16-e542-4dd9-8e82-e6b7829cfc4b"},"surfaceOp":"append"}
{"type":"user/message","seq":7,"time":1786357533630,"data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.\n\nApproval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`).\n\nYou are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}],"source":{"kind":"plugin","plugin":"@deepseek-ai/dsh-system-prompt","form":"snapshot","sections":[{"name":"sandbox:policy","text":"Current DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations."},{"name":"approval:policy","text":"Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."},{"name":"subagent:delegation","text":"You are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}]},"role":"user","id":"e9907a11-3d7c-4796-a459-16afd4afde32"},"surfaceOp":"append"}
{"type":"user/message","seq":7,"time":1786357533630,"data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.\n\nApproval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`).\n\nYou are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}],"source":{"kind":"plugin","plugin":"@deepseek-ai/dsh-system-prompt","form":"snapshot","sections":[{"name":"sandbox:policy","text":"Current DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations."},{"name":"approval:policy","text":"Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."},{"name":"subagent:delegation","text":"You are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}]},"role":"user","id":"a62cf283-f87f-4f6f-be16-a00978557f99"},"surfaceOp":"append"}
{"type":"session/title","seq":8,"time":1786357533630,"data":{"title":"Attempt one subagent call beyond","messageSeqs":[6],"source":{"kind":"fallback"}}}
{"type":"request/header","seq":9,"time":1785730456041,"data":{"header":{"config":{"provider":"deepseek-official","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
{"type":"request/context","seq":10,"time":1785730456042,"data":{"provider":"deepseek-official","model":"deepseek-v4-flash"}}
{"type":"assistant/chunk","seq":11,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}
{"type":"assistant/chunk","seq":12,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":0,"id":"call_depth_three_rejected","name":"subagent","argumentsDelta":"{\"description\":\"Exceed depth cap\",\"prompt\":\"This child must never start.\"}"}}}
{"type":"assistant/chunk","seq":13,"time":1785498798916,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_depth_three_rejected","name":"subagent","arguments":"{\"description\":\"Exceed depth cap\",\"prompt\":\"This child must never start.\"}"}}}}
{"type":"assistant/chunk","seq":12,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":0,"id":"call_depth_three_rejected","name":"subagent","argumentsDelta":"{\"description\":\"Exceed depth cap\",\"prompt\":\"This child must never start.\",\"run_in_background\":false}"}}}
{"type":"assistant/chunk","seq":13,"time":1785498798916,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_depth_three_rejected","name":"subagent","arguments":"{\"description\":\"Exceed depth cap\",\"prompt\":\"This child must never start.\",\"run_in_background\":false}"}}}}
{"type":"assistant/chunk","seq":14,"time":1785730456047,"data":{"turn":1,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":10,"outputTokens":5}}}}
{"type":"assistant/chunk","seq":15,"time":1785730456047,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}
{"type":"assistant/message","seq":16,"time":1785730456047,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"tool-call","id":"call_depth_three_rejected","name":"subagent","arguments":"{\"description\":\"Exceed depth cap\",\"prompt\":\"This child must never start.\"}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"467433db-5dbf-42ee-94c0-25c011ce711b"},"usage":{"inputTokens":10,"outputTokens":5}},"sourceEventSeqs":[11,12,13,14,15],"surfaceOp":"append"}
{"type":"tool/call","seq":17,"time":1785730456048,"data":{"turn":1,"step":1,"callId":"call_depth_three_rejected","name":"subagent","arguments":"{\"description\":\"Exceed depth cap\",\"prompt\":\"This child must never start.\"}"}}
{"type":"assistant/message","seq":16,"time":1785730456047,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"tool-call","id":"call_depth_three_rejected","name":"subagent","arguments":"{\"description\":\"Exceed depth cap\",\"prompt\":\"This child must never start.\",\"run_in_background\":false}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"467433db-5dbf-42ee-94c0-25c011ce711b"},"usage":{"inputTokens":10,"outputTokens":5}},"sourceEventSeqs":[11,12,13,14,15],"surfaceOp":"append"}
{"type":"tool/call","seq":17,"time":1785730456048,"data":{"turn":1,"step":1,"callId":"call_depth_three_rejected","name":"subagent","arguments":"{\"description\":\"Exceed depth cap\",\"prompt\":\"This child must never start.\",\"run_in_background\":false}"}}
{"type":"tool/result","seq":18,"time":1785730456056,"data":{"turn":1,"step":1,"message":{"source":{"kind":"tool","callId":"call_depth_three_rejected"},"content":[{"type":"tool-result","toolCallId":"call_depth_three_rejected","content":[{"type":"text","text":"Error: subagent depth 3 exceeds maxDepth 2"}],"isError":true}],"role":"user","id":"9a3d59f3-542a-4400-a62c-be28dcea3bd1"}},"sourceEventSeqs":[17],"surfaceOp":"append"}
{"type":"step/end","seq":19,"time":1785730456056,"data":{"turn":1,"step":1}}
{"type":"step/start","seq":20,"time":1785730456066,"data":{"turn":1,"step":2}}

8
examples/acp-agent/tests/snapshots/subagent-depth-two-rejection/session.jsonl
View File

@@ -9,12 +9,12 @@
{"type":"request/header","seq":7,"time":1785498798841,"data":{"header":{"config":{"provider":"deepseek-official","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
{"type":"request/context","seq":8,"time":1785730455981,"data":{"provider":"deepseek-official","model":"deepseek-v4-flash"}}
{"type":"assistant/chunk","seq":9,"time":1784540790309,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}
{"type":"assistant/chunk","seq":10,"time":1784540790309,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":0,"id":"call_root_child","name":"subagent","argumentsDelta":"{\"description\":\"Start depth one\",\"prompt\":\"Call subagent once. Ask that child to attempt one further subagent call, then report the result.\"}"}}}
{"type":"assistant/chunk","seq":11,"time":1784540790309,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_root_child","name":"subagent","arguments":"{\"description\":\"Start depth one\",\"prompt\":\"Call subagent once. Ask that child to attempt one further subagent call, then report the result.\"}"}}}}
{"type":"assistant/chunk","seq":10,"time":1784540790309,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":0,"id":"call_root_child","name":"subagent","argumentsDelta":"{\"description\":\"Start depth one\",\"prompt\":\"Call subagent once. Ask that child to attempt one further subagent call, then report the result.\",\"run_in_background\":false}"}}}
{"type":"assistant/chunk","seq":11,"time":1784540790309,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_root_child","name":"subagent","arguments":"{\"description\":\"Start depth one\",\"prompt\":\"Call subagent once. Ask that child to attempt one further subagent call, then report the result.\",\"run_in_background\":false}"}}}}
{"type":"assistant/chunk","seq":12,"time":1785498798850,"data":{"turn":1,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":10,"outputTokens":5}}}}
{"type":"assistant/chunk","seq":13,"time":1785730455990,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}
{"type":"assistant/message","seq":14,"time":1785730455990,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"tool-call","id":"call_root_child","name":"subagent","arguments":"{\"description\":\"Start depth one\",\"prompt\":\"Call subagent once. Ask that child to attempt one further subagent call, then report the result.\"}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"f0284ec5-b83d-4eca-8f10-d3e4e09d0a39"},"usage":{"inputTokens":10,"outputTokens":5}},"sourceEventSeqs":[9,10,11,12,13],"surfaceOp":"append"}
{"type":"tool/call","seq":15,"time":1785730455990,"data":{"turn":1,"step":1,"callId":"call_root_child","name":"subagent","arguments":"{\"description\":\"Start depth one\",\"prompt\":\"Call subagent once. Ask that child to attempt one further subagent call, then report the result.\"}"}}
{"type":"assistant/message","seq":14,"time":1785730455990,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"tool-call","id":"call_root_child","name":"subagent","arguments":"{\"description\":\"Start depth one\",\"prompt\":\"Call subagent once. Ask that child to attempt one further subagent call, then report the result.\",\"run_in_background\":false}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"4683ea2f-13fc-42d8-9794-cf5f714fb001"},"usage":{"inputTokens":10,"outputTokens":5}},"sourceEventSeqs":[9,10,11,12,13],"surfaceOp":"append"}
{"type":"tool/call","seq":15,"time":1785730455990,"data":{"turn":1,"step":1,"callId":"call_root_child","name":"subagent","arguments":"{\"description\":\"Start depth one\",\"prompt\":\"Call subagent once. Ask that child to attempt one further subagent call, then report the result.\",\"run_in_background\":false}"}}
{"type":"tool/result","seq":16,"time":1785730456087,"data":{"turn":1,"step":1,"message":{"source":{"kind":"tool","callId":"call_root_child"},"content":[{"type":"tool-result","toolCallId":"call_root_child","content":[{"type":"text","text":"DEPTH_ONE_DONE"}],"isError":false}],"role":"user","id":"6e5d6cdb-d9da-47a0-826a-50f7022b544d"}},"sourceEventSeqs":[15],"surfaceOp":"append"}
{"type":"step/end","seq":17,"time":1785730456087,"data":{"turn":1,"step":1}}
{"type":"step/start","seq":18,"time":1785730456097,"data":{"turn":1,"step":2}}

2
examples/acp-agent/tests/snapshots/subagent-list-agents/system-prompt.1.expected.md
View File

@@ -21,4 +21,6 @@ Use the workflow tool ONLY when the user explicitly asks for a workflow or for l
Use the ralph tool ONLY when the direct human explicitly asks for a Ralph loop or fresh-agent iterative execution. Each Ralph round starts a fresh child with no conversation seed and uses the shared workspace as durable memory. Completion and blockers are worker reports, not independent evaluation. Use same-session goal tools for ordinary long-running objectives, and plain subagents or workflows for bounded delegation and fan-out.
Use subagent in the background by default. Start independent delegations together in one assistant message and continue useful work while they run. Set `run_in_background: false` only when your next action depends on that subagent's result. When a background run settles, the runtime sends you a notice containing its outcome and any final assistant message.
Deliver your result with the report tool before you finish: call it once with a self-contained answer. The agent that started you shares your workspace but does not automatically receive your transcript, tool output, or reasoning, so a closing remark such as "done" leaves it nothing it can use. Report earlier as well whenever a partial finding changes what that agent should do next; reporting never ends your turn.

6
examples/acp-agent/tests/snapshots/subagent-list-agents/tool-schemas.1.expected.json
View File

@@ -247,7 +247,7 @@
},
{
"name": "subagent",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: this call returns only its subagent id, and the subagent works on its own from there. You are told when it finishes, so never poll or wait on it; `send_message` sends it more work.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result.",
"parameters": {
"type": "object",
"properties": {
@@ -261,7 +261,7 @@
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background subagent that keeps its conversation and return only its subagent id. This call does not wait for it; you are told when it finishes. Send it more work with send_message."
"description": "Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it."
}
},
"required": [
@@ -272,7 +272,7 @@
},
{
"name": "subagent_fork",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps.",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This call waits for the subagent and returns its result.",
"parameters": {
"type": "object",
"properties": {

8
examples/acp-agent/tests/snapshots/subagent-max-tokens-partial/session.jsonl
View File

@@ -9,12 +9,12 @@
{"type":"request/header","seq":7,"time":1786348800115,"data":{"header":{"config":{"provider":"deepseek-official","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
{"type":"request/context","seq":8,"time":1786348800115,"data":{"provider":"deepseek-official","model":"deepseek-v4-flash"}}
{"type":"assistant/chunk","seq":9,"time":1786348800120,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}
{"type":"assistant/chunk","seq":10,"time":1786348800120,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_parent_1","name":"subagent","arguments":"{\"description\": \"Truncated child\", \"prompt\": \"Write the words 'partial one', call todo_write once, then keep going until you are cut off.\"}"}}}}
{"type":"assistant/chunk","seq":10,"time":1786348800120,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_parent_1","name":"subagent","arguments":"{\"description\": \"Truncated child\", \"prompt\": \"Write the words 'partial one', call todo_write once, then keep going until you are cut off.\", \"run_in_background\":false}"}}}}
{"type":"assistant/chunk","seq":11,"time":1786348800120,"data":{"turn":1,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":10,"outputTokens":5}}}}
{"type":"assistant/chunk","seq":12,"time":1786348800120,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}
{"type":"assistant/message","seq":13,"time":1786348800120,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"tool-call","id":"call_parent_1","name":"subagent","arguments":"{\"description\": \"Truncated child\", \"prompt\": \"Write the words 'partial one', call todo_write once, then keep going until you are cut off.\"}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"f4269cd2-9132-4b68-8f9b-ff3a40321bc9"},"usage":{"inputTokens":10,"outputTokens":5}},"sourceEventSeqs":[9,10,11,12],"surfaceOp":"append"}
{"type":"tool/call","seq":14,"time":1786348800121,"data":{"turn":1,"step":1,"callId":"call_parent_1","name":"subagent","arguments":"{\"description\": \"Truncated child\", \"prompt\": \"Write the words 'partial one', call todo_write once, then keep going until you are cut off.\"}"}}
{"type":"tool/result","seq":15,"time":1786348800163,"data":{"turn":1,"step":1,"message":{"source":{"kind":"tool","callId":"call_parent_1"},"content":[{"type":"tool-result","toolCallId":"call_parent_1","content":[{"type":"text","text":"Error: subagent run hit its token limit before finishing\nPartial output before the run ended:\npartial one"}],"isError":true}],"role":"user","id":"5dd34050-a533-4f1b-99ee-5fc62c6a4502"}},"sourceEventSeqs":[14],"surfaceOp":"append"}
{"type":"assistant/message","seq":13,"time":1786348800120,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"tool-call","id":"call_parent_1","name":"subagent","arguments":"{\"description\": \"Truncated child\", \"prompt\": \"Write the words 'partial one', call todo_write once, then keep going until you are cut off.\", \"run_in_background\":false}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"f4269cd2-9132-4b68-8f9b-ff3a40321bc9"},"usage":{"inputTokens":10,"outputTokens":5}},"sourceEventSeqs":[9,10,11,12],"surfaceOp":"append"}
{"type":"tool/call","seq":14,"time":1786348800121,"data":{"turn":1,"step":1,"callId":"call_parent_1","name":"subagent","arguments":"{\"description\": \"Truncated child\", \"prompt\": \"Write the words 'partial one', call todo_write once, then keep going until you are cut off.\", \"run_in_background\":false}"}}
{"type":"tool/result","seq":15,"time":1786348800163,"data":{"turn":1,"step":1,"message":{"source":{"kind":"tool","callId":"call_parent_1"},"content":[{"type":"tool-result","toolCallId":"call_parent_1","content":[{"type":"text","text":"Error: subagent run hit its token limit before finishing\nPartial output before the run ended:\npartial one"}],"isError":true}],"role":"user","id":"84e0d207-3fad-40bd-b68d-2dfefb0e181c"}},"sourceEventSeqs":[14],"surfaceOp":"append"}
{"type":"step/end","seq":16,"time":1786348800163,"data":{"turn":1,"step":1}}
{"type":"step/start","seq":17,"time":1786348800169,"data":{"turn":1,"step":2}}
{"type":"assistant/chunk","seq":18,"time":1786348800173,"data":{"turn":1,"step":2,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}

34
examples/acp-agent/tests/snapshots/subagent-mixed/session.1.jsonl
View File

@@ -1,23 +1,23 @@
{"type":"session","version":0,"id":"e4aafa18-b9e3-48d0-8aae-6c9b25dcae80","createdAt":1783352145223,"cwd":"{{cwd}}","parentSession":"959ffdf5-03e2-465e-9482-009b704632dc","origin":"subagent","delegationDepth":1}
{"type":"approval/policy","seq":0,"time":1786357524735,"data":{"policy":"never","source":"delegation"}}
{"type":"agent/inbox/spliced","seq":1,"time":1786357524735,"data":{"target":"next-turn","start":0,"inserted":[{"content":[{"type":"text","text":"Reply with exactly the word ALPHA and nothing else."}],"source":{"kind":"user"},"role":"user","id":"73ce401a-faaf-408a-879e-7485380d537d"}]}}
{"type":"turn/start","seq":2,"time":1786357524735,"data":{"turn":1}}
{"type":"approval/policy","seq":0,"time":1786443013973,"data":{"policy":"never","source":"delegation"}}
{"type":"agent/inbox/spliced","seq":1,"time":1786443013973,"data":{"target":"next-turn","start":0,"inserted":[{"content":[{"type":"text","text":"Reply with exactly the word ALPHA and nothing else."}],"source":{"kind":"user"},"role":"user","id":"73ce401a-faaf-408a-879e-7485380d537d"}]}}
{"type":"turn/start","seq":2,"time":1786443013974,"data":{"turn":1}}
{"type":"agent/inbox/spliced","seq":3,"time":1786357524735,"data":{"target":"next-turn","start":0,"removedCount":1,"inserted":[]}}
{"type":"subagent/descriptor","seq":4,"time":1786357524752,"data":{"version":2,"mode":"one-shot","provider":"spawn","label":"Reply ALPHA only"}}
{"type":"step/start","seq":5,"time":1786357524755,"data":{"turn":1,"step":1}}
{"type":"user/message","seq":6,"time":1785730450187,"data":{"content":[{"type":"text","text":"Reply with exactly the word ALPHA and nothing else."}],"source":{"kind":"user"},"role":"user","id":"73ce401a-faaf-408a-879e-7485380d537d"},"surfaceOp":"append"}
{"type":"user/message","seq":7,"time":1786357524755,"data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.\n\nApproval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`).\n\nYou are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}],"source":{"kind":"plugin","plugin":"@deepseek-ai/dsh-system-prompt","form":"snapshot","sections":[{"name":"sandbox:policy","text":"Current DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations."},{"name":"approval:policy","text":"Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."},{"name":"subagent:delegation","text":"You are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}]},"role":"user","id":"cb073ca7-b412-4509-99ef-4e1351e7e74d"},"surfaceOp":"append"}
{"type":"subagent/descriptor","seq":4,"time":1786443013990,"data":{"version":2,"mode":"one-shot","provider":"spawn","label":"Reply ALPHA only"}}
{"type":"step/start","seq":5,"time":1786443013993,"data":{"turn":1,"step":1}}
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2
examples/acp-agent/tests/snapshots/subagent-mixed/session.2.jsonl
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@@ -27,7 +27,7 @@
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examples/acp-agent/tests/snapshots/subagent-mixed/session.jsonl
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{"type":"assistant/message","seq":291,"time":1785730450270,"data":{"turn":2,"step":3,"message":{"role":"assistant","content":[{"type":"reasoning","text":"Both subagents returned:\n1. First (fresh child): \"ALPHA\"\n2. Second (forked child): \"SAFFRON\" - correctly inherited the conversation context where I was asked to remember the codeword \"SAFFRON\".\n\nNow I reply with \"PARENT_DONE\" as instructed."},{"type":"text","text":"PARENT_DONE"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"256c985a-449a-4176-9233-7d29cf47ba5e"},"usage":{"inputTokens":69,"outputTokens":69,"cacheReadTokens":3200,"reasoningTokens":64}},"sourceEventSeqs":[217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290],"surfaceOp":"append"}
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2
examples/acp-agent/tests/snapshots/subagent-multi/session.1.jsonl
View File

@@ -6,7 +6,7 @@
{"type":"subagent/descriptor","seq":4,"time":1786357521754,"data":{"version":2,"mode":"one-shot","provider":"spawn","label":"Return ALPHA only"}}
{"type":"step/start","seq":5,"time":1786357521756,"data":{"turn":1,"step":1}}
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{"type":"user/message","seq":7,"time":1786357521756,"data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.\n\nApproval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`).\n\nYou are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}],"source":{"kind":"plugin","plugin":"@deepseek-ai/dsh-system-prompt","form":"snapshot","sections":[{"name":"sandbox:policy","text":"Current DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations."},{"name":"approval:policy","text":"Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."},{"name":"subagent:delegation","text":"You are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}]},"role":"user","id":"6f423049-484c-48d6-9cdd-db504d79f892"},"surfaceOp":"append"}
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2
examples/acp-agent/tests/snapshots/subagent-multi/session.2.jsonl
View File

@@ -6,7 +6,7 @@
{"type":"subagent/descriptor","seq":4,"time":1786357521799,"data":{"version":2,"mode":"one-shot","provider":"spawn","label":"Return BETA only"}}
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20
examples/acp-agent/tests/snapshots/subagent-multi/session.jsonl
View File

@@ -11,27 +11,27 @@
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{"type":"tool/result","seq":166,"time":1785730447888,"data":{"turn":1,"step":2,"message":{"source":{"kind":"tool","callId":"call_00_FudNKuJ0fchSptGy3Scw1411"},"content":[{"type":"tool-result","toolCallId":"call_00_FudNKuJ0fchSptGy3Scw1411","content":[{"type":"text","text":"BETA"}],"isError":false}],"role":"user","id":"d882a00e-e991-4e2a-9610-698f6bc8924d"}},"sourceEventSeqs":[165],"surfaceOp":"append"}
{"type":"assistant/message","seq":164,"time":1785730447858,"data":{"turn":1,"step":2,"message":{"role":"assistant","content":[{"type":"reasoning","text":"First subagent returned \"ALPHA\". Now I'll call the second subagent to return \"BETA\"."},{"type":"tool-call","id":"call_00_FudNKuJ0fchSptGy3Scw1411","name":"subagent","arguments":"{\"description\": \"Return BETA only\", \"prompt\": \"Reply with exactly the word BETA and nothing else.\", \"run_in_background\": false}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"6271fc4f-19d3-41fe-9500-8f15c823e262"},"usage":{"inputTokens":133,"outputTokens":96,"cacheReadTokens":2944,"reasoningTokens":23}},"sourceEventSeqs":[103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163],"surfaceOp":"append"}
{"type":"tool/call","seq":165,"time":1785730447859,"data":{"turn":1,"step":2,"callId":"call_00_FudNKuJ0fchSptGy3Scw1411","name":"subagent","arguments":"{\"description\": \"Return BETA only\", \"prompt\": \"Reply with exactly the word BETA and nothing else.\", \"run_in_background\": false}"}}
{"type":"tool/result","seq":166,"time":1785730447888,"data":{"turn":1,"step":2,"message":{"source":{"kind":"tool","callId":"call_00_FudNKuJ0fchSptGy3Scw1411"},"content":[{"type":"tool-result","toolCallId":"call_00_FudNKuJ0fchSptGy3Scw1411","content":[{"type":"text","text":"BETA"}],"isError":false}],"role":"user","id":"92fc990e-874a-4927-a918-7244bf2d4ff4"}},"sourceEventSeqs":[165],"surfaceOp":"append"}
{"type":"step/end","seq":167,"time":1785730447888,"data":{"turn":1,"step":2}}
{"type":"step/start","seq":168,"time":1785730447902,"data":{"turn":1,"step":3}}
{"type":"assistant/chunk","seq":169,"time":1783352131045,"data":{"turn":1,"step":3,"chunk":{"type":"block-start","index":0,"blockType":"reasoning"}}}

8
examples/acp-agent/tests/snapshots/subagent-parallel/session.1.jsonl
View File

@@ -1,18 +1,18 @@
{"type":"session","version":0,"id":"bbbbbbbb-0000-4000-8000-000000000002","createdAt":1783352127000,"cwd":"{{cwd}}","parentSession":"aaaaaaaa-0000-4000-8000-000000000001","origin":"subagent","delegationDepth":1}
{"type":"approval/policy","seq":0,"time":1786373947132,"data":{"policy":"never","source":"delegation"}}
{"type":"agent/inbox/spliced","seq":1,"time":1786373947134,"data":{"target":"next-turn","start":0,"inserted":[{"content":[{"type":"text","text":"Reply with exactly the word ALPHA and nothing else."}],"source":{"kind":"user"},"role":"user","id":"84b2bc8e-878b-4337-ae82-26c3074069f2"}]}}
{"type":"agent/inbox/spliced","seq":1,"time":1786373947134,"data":{"target":"next-turn","start":0,"inserted":[{"content":[{"type":"text","text":"Reply with exactly the word ALPHA and nothing else."}],"source":{"kind":"user"},"role":"user","id":"fcb407e0-2c85-4875-81cf-ad18fd96e3dc"}]}}
{"type":"turn/start","seq":2,"time":1786373947134,"data":{"turn":1}}
{"type":"agent/inbox/spliced","seq":3,"time":1786373947134,"data":{"target":"next-turn","start":0,"removedCount":1,"inserted":[]}}
{"type":"subagent/descriptor","seq":4,"time":1786373947165,"data":{"version":2,"mode":"one-shot","provider":"spawn","label":"Say the word ALPHA"}}
{"type":"step/start","seq":5,"time":1786373947168,"data":{"turn":1,"step":1}}
{"type":"user/message","seq":6,"time":1786338530759,"data":{"content":[{"type":"text","text":"Reply with exactly the word ALPHA and nothing else."}],"source":{"kind":"user"},"role":"user","id":"84b2bc8e-878b-4337-ae82-26c3074069f2"},"surfaceOp":"append"}
{"type":"user/message","seq":7,"time":1786373947168,"data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.\n\nApproval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`).\n\nYou are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}],"source":{"kind":"plugin","plugin":"@deepseek-ai/dsh-system-prompt","form":"snapshot","sections":[{"name":"sandbox:policy","text":"Current DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations."},{"name":"approval:policy","text":"Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."},{"name":"subagent:delegation","text":"You are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}]},"role":"user","id":"05fbd821-3adf-4877-b805-2cc5e6de3f9c"},"surfaceOp":"append"}
{"type":"user/message","seq":6,"time":1786338530759,"data":{"content":[{"type":"text","text":"Reply with exactly the word ALPHA and nothing else."}],"source":{"kind":"user"},"role":"user","id":"fcb407e0-2c85-4875-81cf-ad18fd96e3dc"},"surfaceOp":"append"}
{"type":"user/message","seq":7,"time":1786373947168,"data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.\n\nApproval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`).\n\nYou are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}],"source":{"kind":"plugin","plugin":"@deepseek-ai/dsh-system-prompt","form":"snapshot","sections":[{"name":"sandbox:policy","text":"Current DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations."},{"name":"approval:policy","text":"Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."},{"name":"subagent:delegation","text":"You are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}]},"role":"user","id":"43134073-e26c-4314-a019-95f39d40ab19"},"surfaceOp":"append"}
{"type":"session/title","seq":8,"time":1786373947168,"data":{"title":"Reply with exactly the word","messageSeqs":[6],"source":{"kind":"fallback"}}}
{"type":"request/header","seq":9,"time":1786338530759,"data":{"header":{"config":{"provider":"deepseek-official","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
{"type":"request/context","seq":10,"time":1786338530759,"data":{"provider":"deepseek-official","model":"deepseek-v4-flash"}}
{"type":"assistant/chunk","seq":11,"time":1786338530769,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}
{"type":"assistant/chunk","seq":12,"time":1786338530769,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"text","text":"ALPHA"}}}}
{"type":"assistant/chunk","seq":13,"time":1786338530769,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"stop"}}}}
{"type":"assistant/message","seq":14,"time":1786338530769,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"text","text":"ALPHA"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"224c83f1-4449-451d-8f8a-f2889c19068e"}},"sourceEventSeqs":[11,12,13],"surfaceOp":"append"}
{"type":"assistant/message","seq":14,"time":1786338530769,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"text","text":"ALPHA"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"4923daf1-fb8a-4278-b173-477ff3e36df0"}},"sourceEventSeqs":[11,12,13],"surfaceOp":"append"}
{"type":"step/end","seq":15,"time":1786338530769,"data":{"turn":1,"step":1}}
{"type":"turn/end","seq":16,"time":1786338530769,"data":{"turn":1,"reason":{"kind":"completed"}}}

8
examples/acp-agent/tests/snapshots/subagent-parallel/session.2.jsonl
View File

@@ -1,18 +1,18 @@
{"type":"session","version":0,"id":"cccccccc-0000-4000-8000-000000000003","createdAt":1783352127001,"cwd":"{{cwd}}","parentSession":"aaaaaaaa-0000-4000-8000-000000000001","origin":"subagent","delegationDepth":1}
{"type":"approval/policy","seq":0,"time":1786373947132,"data":{"policy":"never","source":"delegation"}}
{"type":"agent/inbox/spliced","seq":1,"time":1786373947133,"data":{"target":"next-turn","start":0,"inserted":[{"content":[{"type":"text","text":"Reply with exactly the word ALPHA and nothing else."}],"source":{"kind":"user"},"role":"user","id":"a3da85dc-6428-4a31-8653-b7327e518436"}]}}
{"type":"agent/inbox/spliced","seq":1,"time":1786373947133,"data":{"target":"next-turn","start":0,"inserted":[{"content":[{"type":"text","text":"Reply with exactly the word ALPHA and nothing else."}],"source":{"kind":"user"},"role":"user","id":"f768a0a8-04f9-4dbe-baf0-a55a2be33866"}]}}
{"type":"turn/start","seq":2,"time":1786373947133,"data":{"turn":1}}
{"type":"agent/inbox/spliced","seq":3,"time":1786373947134,"data":{"target":"next-turn","start":0,"removedCount":1,"inserted":[]}}
{"type":"subagent/descriptor","seq":4,"time":1786373947170,"data":{"version":2,"mode":"one-shot","provider":"spawn","label":"Say the word ALPHA"}}
{"type":"step/start","seq":5,"time":1786373947173,"data":{"turn":1,"step":1}}
{"type":"user/message","seq":6,"time":1786338530749,"data":{"content":[{"type":"text","text":"Reply with exactly the word ALPHA and nothing else."}],"source":{"kind":"user"},"role":"user","id":"a3da85dc-6428-4a31-8653-b7327e518436"},"surfaceOp":"append"}
{"type":"user/message","seq":7,"time":1786373947174,"data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.\n\nApproval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`).\n\nYou are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}],"source":{"kind":"plugin","plugin":"@deepseek-ai/dsh-system-prompt","form":"snapshot","sections":[{"name":"sandbox:policy","text":"Current DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations."},{"name":"approval:policy","text":"Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."},{"name":"subagent:delegation","text":"You are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}]},"role":"user","id":"670f5fc4-3eb6-4430-959a-08e8adf25036"},"surfaceOp":"append"}
{"type":"user/message","seq":6,"time":1786338530749,"data":{"content":[{"type":"text","text":"Reply with exactly the word ALPHA and nothing else."}],"source":{"kind":"user"},"role":"user","id":"f768a0a8-04f9-4dbe-baf0-a55a2be33866"},"surfaceOp":"append"}
{"type":"user/message","seq":7,"time":1786373947174,"data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.\n\nApproval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`).\n\nYou are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}],"source":{"kind":"plugin","plugin":"@deepseek-ai/dsh-system-prompt","form":"snapshot","sections":[{"name":"sandbox:policy","text":"Current DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations."},{"name":"approval:policy","text":"Approval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."},{"name":"subagent:delegation","text":"You are a delegated subagent: your permission scope was fixed when you were started and cannot be widened from inside this session — operations that require approval are rejected automatically. When the task needs access beyond that scope, do not retry the denied operation; state the limitation in your reply so the delegating agent can handle it."}]},"role":"user","id":"2934ee83-26a7-4262-8517-e4fe8f97312a"},"surfaceOp":"append"}
{"type":"session/title","seq":8,"time":1786373947174,"data":{"title":"Reply with exactly the word","messageSeqs":[6],"source":{"kind":"fallback"}}}
{"type":"request/header","seq":9,"time":1786338530749,"data":{"header":{"config":{"provider":"deepseek-official","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
{"type":"request/context","seq":10,"time":1786338530749,"data":{"provider":"deepseek-official","model":"deepseek-v4-flash"}}
{"type":"assistant/chunk","seq":11,"time":1786338530759,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}
{"type":"assistant/chunk","seq":12,"time":1786338530759,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"text","text":"ALPHA"}}}}
{"type":"assistant/chunk","seq":13,"time":1786338530759,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"stop"}}}}
{"type":"assistant/message","seq":14,"time":1786338530759,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"text","text":"ALPHA"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"ac2dc91f-7dfa-45f6-88e0-21a2e762c3dd"}},"sourceEventSeqs":[11,12,13],"surfaceOp":"append"}
{"type":"assistant/message","seq":14,"time":1786338530759,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"text","text":"ALPHA"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"013bb4a7-f401-4d39-8552-15232d042d26"}},"sourceEventSeqs":[11,12,13],"surfaceOp":"append"}
{"type":"step/end","seq":15,"time":1786338530760,"data":{"turn":1,"step":1}}
{"type":"turn/end","seq":16,"time":1786338530760,"data":{"turn":1,"reason":{"kind":"completed"}}}

14
examples/acp-agent/tests/snapshots/subagent-parallel/session.jsonl
View File

@@ -9,15 +9,15 @@
{"type":"request/header","seq":7,"time":1786338530717,"data":{"header":{"config":{"provider":"deepseek-official","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
{"type":"request/context","seq":8,"time":1786338530717,"data":{"provider":"deepseek-official","model":"deepseek-v4-flash"}}
{"type":"assistant/chunk","seq":9,"time":1786338530722,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}
{"type":"assistant/chunk","seq":10,"time":1786338530722,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_parallel_alpha_1","name":"subagent","arguments":"{\"description\": \"Say the word ALPHA\", \"prompt\": \"Reply with exactly the word ALPHA and nothing else.\"}"}}}}
{"type":"assistant/chunk","seq":10,"time":1786338530722,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"call_parallel_alpha_1","name":"subagent","arguments":"{\"description\": \"Say the word ALPHA\", \"prompt\": \"Reply with exactly the word ALPHA and nothing else.\", \"run_in_background\":false}"}}}}
{"type":"assistant/chunk","seq":11,"time":1786338530722,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":1,"blockType":"tool-call"}}}
{"type":"assistant/chunk","seq":12,"time":1786338530722,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":1,"block":{"type":"tool-call","id":"call_parallel_alpha_2","name":"subagent","arguments":"{\"description\": \"Say the word ALPHA\", \"prompt\": \"Reply with exactly the word ALPHA and nothing else.\"}"}}}}
{"type":"assistant/chunk","seq":12,"time":1786338530722,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":1,"block":{"type":"tool-call","id":"call_parallel_alpha_2","name":"subagent","arguments":"{\"description\": \"Say the word ALPHA\", \"prompt\": \"Reply with exactly the word ALPHA and nothing else.\", \"run_in_background\":false}"}}}}
{"type":"assistant/chunk","seq":13,"time":1786338530722,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}
{"type":"assistant/message","seq":14,"time":1786338530723,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"tool-call","id":"call_parallel_alpha_1","name":"subagent","arguments":"{\"description\": \"Say the word ALPHA\", \"prompt\": \"Reply with exactly the word ALPHA and nothing else.\"}"},{"type":"tool-call","id":"call_parallel_alpha_2","name":"subagent","arguments":"{\"description\": \"Say the word ALPHA\", \"prompt\": \"Reply with exactly the word ALPHA and nothing else.\"}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"6ff33634-55af-4c37-a491-dd5b8673923f"}},"sourceEventSeqs":[9,10,11,12,13],"surfaceOp":"append"}
{"type":"tool/call","seq":15,"time":1786338530723,"data":{"turn":1,"step":1,"callId":"call_parallel_alpha_1","name":"subagent","arguments":"{\"description\": \"Say the word ALPHA\", \"prompt\": \"Reply with exactly the word ALPHA and nothing else.\"}"}}
{"type":"tool/call","seq":16,"time":1786338530723,"data":{"turn":1,"step":1,"callId":"call_parallel_alpha_2","name":"subagent","arguments":"{\"description\": \"Say the word ALPHA\", \"prompt\": \"Reply with exactly the word ALPHA and nothing else.\"}"}}
{"type":"tool/result","seq":17,"time":1786338530770,"data":{"turn":1,"step":1,"message":{"source":{"kind":"tool","callId":"call_parallel_alpha_1"},"content":[{"type":"tool-result","toolCallId":"call_parallel_alpha_1","content":[{"type":"text","text":"ALPHA"}],"isError":false}],"role":"user","id":"9fa4fa59-7326-4bc8-8ea2-120b37d91ea3"}},"sourceEventSeqs":[15],"surfaceOp":"append"}
{"type":"tool/result","seq":18,"time":1786338530770,"data":{"turn":1,"step":1,"message":{"source":{"kind":"tool","callId":"call_parallel_alpha_2"},"content":[{"type":"tool-result","toolCallId":"call_parallel_alpha_2","content":[{"type":"text","text":"ALPHA"}],"isError":false}],"role":"user","id":"895bb620-534e-4857-9743-68273126eccf"}},"sourceEventSeqs":[16],"surfaceOp":"append"}
{"type":"assistant/message","seq":14,"time":1786338530723,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"tool-call","id":"call_parallel_alpha_1","name":"subagent","arguments":"{\"description\": \"Say the word ALPHA\", \"prompt\": \"Reply with exactly the word ALPHA and nothing else.\", \"run_in_background\":false}"},{"type":"tool-call","id":"call_parallel_alpha_2","name":"subagent","arguments":"{\"description\": \"Say the word ALPHA\", \"prompt\": \"Reply with exactly the word ALPHA and nothing else.\", \"run_in_background\":false}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"6ff33634-55af-4c37-a491-dd5b8673923f"}},"sourceEventSeqs":[9,10,11,12,13],"surfaceOp":"append"}
{"type":"tool/call","seq":15,"time":1786338530723,"data":{"turn":1,"step":1,"callId":"call_parallel_alpha_1","name":"subagent","arguments":"{\"description\": \"Say the word ALPHA\", \"prompt\": \"Reply with exactly the word ALPHA and nothing else.\", \"run_in_background\":false}"}}
{"type":"tool/call","seq":16,"time":1786338530723,"data":{"turn":1,"step":1,"callId":"call_parallel_alpha_2","name":"subagent","arguments":"{\"description\": \"Say the word ALPHA\", \"prompt\": \"Reply with exactly the word ALPHA and nothing else.\", \"run_in_background\":false}"}}
{"type":"tool/result","seq":17,"time":1786338530770,"data":{"turn":1,"step":1,"message":{"source":{"kind":"tool","callId":"call_parallel_alpha_1"},"content":[{"type":"tool-result","toolCallId":"call_parallel_alpha_1","content":[{"type":"text","text":"ALPHA"}],"isError":false}],"role":"user","id":"caa3552f-81bf-415c-852f-1c88ca1b29b3"}},"sourceEventSeqs":[15],"surfaceOp":"append"}
{"type":"tool/result","seq":18,"time":1786338530770,"data":{"turn":1,"step":1,"message":{"source":{"kind":"tool","callId":"call_parallel_alpha_2"},"content":[{"type":"tool-result","toolCallId":"call_parallel_alpha_2","content":[{"type":"text","text":"ALPHA"}],"isError":false}],"role":"user","id":"ef6b5f6f-94bb-4719-a914-87bc0366660a"}},"sourceEventSeqs":[16],"surfaceOp":"append"}
{"type":"step/end","seq":19,"time":1786338530770,"data":{"turn":1,"step":1}}
{"type":"step/start","seq":20,"time":1786338530778,"data":{"turn":1,"step":2}}
{"type":"assistant/chunk","seq":21,"time":1786338530782,"data":{"turn":1,"step":2,"chunk":{"type":"block-start","index":0,"blockType":"text"}}}

4
examples/acp-agent/tests/snapshots/subagent-published-run-failure/replay.override.json
View File

@@ -3,8 +3,8 @@
"kind": "chunks",
"chunks": [
{ "type": "block-start", "index": 0, "blockType": "tool-call" },
{ "type": "tool-call-delta", "index": 0, "id": "call_published_failure", "name": "subagent", "argumentsDelta": "{\"description\":\"Fail published run\",\"prompt\":\"This child prompt must never run.\"}" },
{ "type": "block-end", "index": 0, "block": { "type": "tool-call", "id": "call_published_failure", "name": "subagent", "arguments": "{\"description\":\"Fail published run\",\"prompt\":\"This child prompt must never run.\"}" } },
{ "type": "tool-call-delta", "index": 0, "id": "call_published_failure", "name": "subagent", "argumentsDelta": "{\"description\":\"Fail published run\",\"prompt\":\"This child prompt must never run.\",\"run_in_background\":false}" },
{ "type": "block-end", "index": 0, "block": { "type": "tool-call", "id": "call_published_failure", "name": "subagent", "arguments": "{\"description\":\"Fail published run\",\"prompt\":\"This child prompt must never run.\",\"run_in_background\":false}" } },
{ "type": "usage", "usage": { "inputTokens": 10, "outputTokens": 5 } },
{ "type": "finish", "reason": { "kind": "tool-calls" } }
]

2
examples/acp-agent/tests/snapshots/subagent-published-run-failure/session.1.jsonl
View File

@@ -1,2 +1,2 @@
{"type":"session","version":0,"id":"eb69342c-62b6-4320-a78b-961745f89333","createdAt":1786358409171,"cwd":"{{cwd}}","parentSession":"11111111-1111-4111-8111-111111111111","origin":"subagent","delegationDepth":1}
{"type":"approval/policy","seq":0,"time":1786358409171,"data":{"policy":"never","source":"delegation"}}
{"type":"approval/policy","seq":0,"time":1786443070419,"data":{"policy":"never","source":"delegation"}}

10
examples/acp-agent/tests/snapshots/subagent-published-run-failure/session.jsonl
View File

@@ -9,13 +9,13 @@
{"type":"request/header","seq":7,"time":1785730452506,"data":{"header":{"config":{"provider":"deepseek-official","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}
{"type":"request/context","seq":8,"time":1785730452506,"data":{"provider":"deepseek-official","model":"deepseek-v4-flash"}}
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2
examples/acp-agent/tests/snapshots/subagent-report/system-prompt.1.expected.md
View File

@@ -21,4 +21,6 @@ Use the workflow tool ONLY when the user explicitly asks for a workflow or for l
Use the ralph tool ONLY when the direct human explicitly asks for a Ralph loop or fresh-agent iterative execution. Each Ralph round starts a fresh child with no conversation seed and uses the shared workspace as durable memory. Completion and blockers are worker reports, not independent evaluation. Use same-session goal tools for ordinary long-running objectives, and plain subagents or workflows for bounded delegation and fan-out.
Use subagent in the background by default. Start independent delegations together in one assistant message and continue useful work while they run. Set `run_in_background: false` only when your next action depends on that subagent's result. When a background run settles, the runtime sends you a notice containing its outcome and any final assistant message.
Deliver your result with the report tool before you finish: call it once with a self-contained answer. The agent that started you shares your workspace but does not automatically receive your transcript, tool output, or reasoning, so a closing remark such as "done" leaves it nothing it can use. Report earlier as well whenever a partial finding changes what that agent should do next; reporting never ends your turn.

6
examples/acp-agent/tests/snapshots/subagent-report/tool-schemas.1.expected.json
View File

@@ -247,7 +247,7 @@
},
{
"name": "subagent",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: this call returns only its subagent id, and the subagent works on its own from there. You are told when it finishes, so never poll or wait on it; `send_message` sends it more work.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result.",
"parameters": {
"type": "object",
"properties": {
@@ -261,7 +261,7 @@
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background subagent that keeps its conversation and return only its subagent id. This call does not wait for it; you are told when it finishes. Send it more work with send_message."
"description": "Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it."
}
},
"required": [
@@ -272,7 +272,7 @@
},
{
"name": "subagent_fork",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps.",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This call waits for the subagent and returns its result.",
"parameters": {
"type": "object",
"properties": {

10
examples/acp-agent/tests/snapshots/subagent-spawn/session.jsonl
View File

@@ -11,14 +11,14 @@
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{"type":"assistant/chunk","seq":115,"time":1785730446696,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}
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2
examples/acp-agent/tests/snapshots/text-turn/system-prompt.expected.md
View File

@@ -20,3 +20,5 @@ Use goal tools for one long-running completion objective in the current session.
Use the workflow tool ONLY when the user explicitly asks for a workflow or for large multi-agent orchestration: you write a JavaScript script (the tool description documents the exact format) that fans work out across many subagents with phases and structured results. For one or two delegations, prefer plain subagent calls.
Use the ralph tool ONLY when the direct human explicitly asks for a Ralph loop or fresh-agent iterative execution. Each Ralph round starts a fresh child with no conversation seed and uses the shared workspace as durable memory. Completion and blockers are worker reports, not independent evaluation. Use same-session goal tools for ordinary long-running objectives, and plain subagents or workflows for bounded delegation and fan-out.
Use subagent in the background by default. Start independent delegations together in one assistant message and continue useful work while they run. Set `run_in_background: false` only when your next action depends on that subagent's result. When a background run settles, the runtime sends you a notice containing its outcome and any final assistant message.

6
examples/acp-agent/tests/snapshots/text-turn/tool-schemas.expected.json
View File

@@ -231,7 +231,7 @@
},
{
"name": "subagent",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: this call returns only its subagent id, and the subagent works on its own from there. You are told when it finishes, so never poll or wait on it; `send_message` sends it more work.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result.",
"parameters": {
"type": "object",
"properties": {
@@ -245,7 +245,7 @@
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background subagent that keeps its conversation and return only its subagent id. This call does not wait for it; you are told when it finishes. Send it more work with send_message."
"description": "Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it."
}
},
"required": [
@@ -256,7 +256,7 @@
},
{
"name": "subagent_fork",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps.",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This call waits for the subagent and returns its result.",
"parameters": {
"type": "object",
"properties": {

2
examples/acp-agent/tests/snapshots/web-fetch/system-prompt.expected.md
View File

@@ -22,3 +22,5 @@ Use goal tools for one long-running completion objective in the current session.
Use the workflow tool ONLY when the user explicitly asks for a workflow or for large multi-agent orchestration: you write a JavaScript script (the tool description documents the exact format) that fans work out across many subagents with phases and structured results. For one or two delegations, prefer plain subagent calls.
Use the ralph tool ONLY when the direct human explicitly asks for a Ralph loop or fresh-agent iterative execution. Each Ralph round starts a fresh child with no conversation seed and uses the shared workspace as durable memory. Completion and blockers are worker reports, not independent evaluation. Use same-session goal tools for ordinary long-running objectives, and plain subagents or workflows for bounded delegation and fan-out.
Use subagent in the background by default. Start independent delegations together in one assistant message and continue useful work while they run. Set `run_in_background: false` only when your next action depends on that subagent's result. When a background run settles, the runtime sends you a notice containing its outcome and any final assistant message.

6
examples/acp-agent/tests/snapshots/web-fetch/tool-schemas.expected.json
View File

@@ -231,7 +231,7 @@
},
{
"name": "subagent",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) and return its final result. Use this to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent runs to completion and you receive only its final answer, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. Set `run_in_background: true` to start a background subagent that keeps its conversation: this call returns only its subagent id, and the subagent works on its own from there. You are told when it finishes, so never poll or wait on it; `send_message` sends it more work.",
"description": "Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result.",
"parameters": {
"type": "object",
"properties": {
@@ -245,7 +245,7 @@
},
"run_in_background": {
"type": "boolean",
"description": "Run as a background subagent that keeps its conversation and return only its subagent id. This call does not wait for it; you are told when it finishes. Send it more work with send_message."
"description": "Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it."
}
},
"required": [
@@ -256,7 +256,7 @@
},
{
"name": "subagent_fork",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn), returning only its final result. Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive only its final answer, not its intermediate steps.",
"description": "Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This call waits for the subagent and returns its result.",
"parameters": {
"type": "object",
"properties": {

2
examples/acp-agent/tests/snapshots/workspace-context/system-prompt.expected.md
View File

@@ -20,3 +20,5 @@ Use goal tools for one long-running completion objective in the current session.
Use the workflow tool ONLY when the user explicitly asks for a workflow or for large multi-agent orchestration: you write a JavaScript script (the tool description documents the exact format) that fans work out across many subagents with phases and structured results. For one or two delegations, prefer plain subagent calls.
Use the ralph tool ONLY when the direct human explicitly asks for a Ralph loop or fresh-agent iterative execution. Each Ralph round starts a fresh child with no conversation seed and uses the shared workspace as durable memory. Completion and blockers are worker reports, not independent evaluation. Use same-session goal tools for ordinary long-running objectives, and plain subagents or workflows for bounded delegation and fan-out.
Use subagent in the background by default. Start independent delegations together in one assistant message and continue useful work while they run. Set `run_in_background: false` only when your next action depends on that subagent's result. When a background run settles, the runtime sends you a notice containing its outcome and any final assistant message.

2
examples/headless-agent/tests/headless.snapshot.ts
View File

@@ -816,7 +816,7 @@ describe('headless stream-json snapshots', () => {
expect(calls.map(record => (record.data as JsonObject | undefined)?.name)).toEqual(['subagent'])
const callArguments = (calls[0]?.data as JsonObject | undefined)?.arguments
if (typeof callArguments !== 'string') throw new Error('subagent call did not persist its arguments')
expect(JSON.parse(callArguments)).toMatchObject({ run_in_background: true })
expect(JSON.parse(callArguments)).not.toHaveProperty('run_in_background')
const notices = parentRecords.flatMap((record) => {
if (record.type !== 'agent/inbox/spliced') return []

10
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10
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8
examples/headless-agent/tests/snapshots/advanced-toolchain/stream-json.expected.jsonl
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@@ -29,12 +29,12 @@
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/end","seq":28,"time":0,"data":{"turn":1,"step":2}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/start","seq":29,"time":0,"data":{"turn":1,"step":3}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":30,"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":31,"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":32,"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":31,"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.\",\"run_in_background\":false}"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":32,"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.\",\"run_in_background\":false}"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":33,"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":34,"time":0,"data":{"turn":1,"step":3,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/message","seq":35,"time":0,"data":{"turn":1,"step":3,"message":{"role":"assistant","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.\"}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"{{sessionId}}"},"usage":{"inputTokens":3,"outputTokens":3}},"sourceEventSeqs":[30,31,32,33,34],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"tool/call","seq":36,"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":"assistant/message","seq":35,"time":0,"data":{"turn":1,"step":3,"message":{"role":"assistant","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.\",\"run_in_background\":false}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"{{sessionId}}"},"usage":{"inputTokens":3,"outputTokens":3}},"sourceEventSeqs":[30,31,32,33,34],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"tool/call","seq":36,"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.\",\"run_in_background\":false}"}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"tool/result","seq":37,"time":0,"data":{"turn":1,"step":3,"message":{"source":{"kind":"tool","callId":"advanced-direct-child"},"content":[{"type":"tool-result","toolCallId":"advanced-direct-child","content":[{"type":"text","text":"DIRECT_CHILD_OK"}],"isError":false}],"role":"user","id":"{{sessionId}}"}},"sourceEventSeqs":[36],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/end","seq":38,"time":0,"data":{"turn":1,"step":3}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/start","seq":39,"time":0,"data":{"turn":1,"step":4}}}

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4
examples/headless-agent/tests/snapshots/subagent-settlement/parent.override.json
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@@ -3,8 +3,8 @@
"kind": "chunks",
"chunks": [
{ "type": "block-start", "index": 0, "blockType": "tool-call" },
{ "type": "tool-call-delta", "index": 0, "id": "start-child", "name": "subagent", "argumentsDelta": "{\"description\":\"Return child result\",\"prompt\":\"Reply with exactly CHILD_RESULT and nothing else. Do not call report.\",\"run_in_background\":true}" },
{ "type": "block-end", "index": 0, "block": { "type": "tool-call", "id": "start-child", "name": "subagent", "arguments": "{\"description\":\"Return child result\",\"prompt\":\"Reply with exactly CHILD_RESULT and nothing else. Do not call report.\",\"run_in_background\":true}" } },
{ "type": "tool-call-delta", "index": 0, "id": "start-child", "name": "subagent", "argumentsDelta": "{\"description\":\"Return child result\",\"prompt\":\"Reply with exactly CHILD_RESULT and nothing else. Do not call report.\"}" },
{ "type": "block-end", "index": 0, "block": { "type": "tool-call", "id": "start-child", "name": "subagent", "arguments": "{\"description\":\"Return child result\",\"prompt\":\"Reply with exactly CHILD_RESULT and nothing else. Do not call report.\"}" } },
{ "type": "usage", "usage": { "inputTokens": 10, "outputTokens": 5 } },
{ "type": "finish", "reason": { "kind": "tool-calls" } }
]

8
examples/headless-agent/tests/snapshots/subagent-settlement/stream-json.expected.jsonl
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@@ -7,12 +7,12 @@
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"request/header","seq":6,"time":0,"data":{"header":{"config":{"provider":"deepseek-official","model":"deepseek-v4-flash"},"system":"{{system}}","tools":"{{tools}}"},"reason":"initial"}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"request/context","seq":7,"time":0,"data":{"provider":"deepseek-official","model":"deepseek-v4-flash"}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":8,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"tool-call"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":9,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":0,"id":"start-child","name":"subagent","argumentsDelta":"{\"description\":\"Return child result\",\"prompt\":\"Reply with exactly CHILD_RESULT and nothing else. Do not call report.\",\"run_in_background\":true}"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":10,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"start-child","name":"subagent","arguments":"{\"description\":\"Return child result\",\"prompt\":\"Reply with exactly CHILD_RESULT and nothing else. Do not call report.\",\"run_in_background\":true}"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":9,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"tool-call-delta","index":0,"id":"start-child","name":"subagent","argumentsDelta":"{\"description\":\"Return child result\",\"prompt\":\"Reply with exactly CHILD_RESULT and nothing else. Do not call report.\"}"}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":10,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"block-end","index":0,"block":{"type":"tool-call","id":"start-child","name":"subagent","arguments":"{\"description\":\"Return child result\",\"prompt\":\"Reply with exactly CHILD_RESULT and nothing else. Do not call report.\"}"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":11,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"usage","usage":{"inputTokens":10,"outputTokens":5}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/chunk","seq":12,"time":0,"data":{"turn":1,"step":1,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/message","seq":13,"time":0,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"tool-call","id":"start-child","name":"subagent","arguments":"{\"description\":\"Return child result\",\"prompt\":\"Reply with exactly CHILD_RESULT and nothing else. Do not call report.\",\"run_in_background\":true}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"{{sessionId}}"},"usage":{"inputTokens":10,"outputTokens":5}},"sourceEventSeqs":[8,9,10,11,12],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"tool/call","seq":14,"time":0,"data":{"turn":1,"step":1,"callId":"start-child","name":"subagent","arguments":"{\"description\":\"Return child result\",\"prompt\":\"Reply with exactly CHILD_RESULT and nothing else. Do not call report.\",\"run_in_background\":true}"}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"assistant/message","seq":13,"time":0,"data":{"turn":1,"step":1,"message":{"role":"assistant","content":[{"type":"tool-call","id":"start-child","name":"subagent","arguments":"{\"description\":\"Return child result\",\"prompt\":\"Reply with exactly CHILD_RESULT and nothing else. Do not call report.\"}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-flash"},"id":"{{sessionId}}"},"usage":{"inputTokens":10,"outputTokens":5}},"sourceEventSeqs":[8,9,10,11,12],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"tool/call","seq":14,"time":0,"data":{"turn":1,"step":1,"callId":"start-child","name":"subagent","arguments":"{\"description\":\"Return child result\",\"prompt\":\"Reply with exactly CHILD_RESULT and nothing else. Do not call report.\"}"}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"tool/result","seq":15,"time":0,"data":{"turn":1,"step":1,"message":{"source":{"kind":"tool","callId":"start-child"},"content":[{"type":"tool-result","toolCallId":"start-child","content":[{"type":"text","text":"started subagent {{sessionId}}"}],"isError":false}],"role":"user","id":"{{sessionId}}"}},"sourceEventSeqs":[14],"surfaceOp":"append"}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"step/end","seq":16,"time":0,"data":{"turn":1,"step":1}}}
{"type":"session_event","sessionId":"{{sessionId}}","event":{"type":"agent/inbox/spliced","seq":17,"time":0,"data":{"target":"next-step","start":0,"inserted":[{"content":[{"type":"text","text":"Background subagent {{sessionId}} finished and will do no further work unless you send it more."},{"type":"text","text":"Its closing message:"},{"type":"text","text":"CHILD_RESULT"}],"source":{"kind":"subagent-settled","form":"notice","summary":"Background subagent {{sessionId}} finished and will do no further work unless you send it more.","senderSessionId":"{{sessionId}}"},"role":"user","id":"{{sessionId}}"}]}}}

4
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@@ -2,5 +2,5 @@
# 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 examples/jsonrpc-agent/README.md
README.md: 5a52b255f9f26a67da17c22e3d7c62fa4ae8258d
README.zh.md: 8d2f9807ff259000b5a6823357f8c41b43bfa434
README.md: 9eb37fd29442dc40c7a17cd266c225e6750a6886
README.zh.md: f358d3c8b22017a10dff62ce2dedced2bfd6de6c

6
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@@ -20,7 +20,9 @@ The surrounding runtime also loads JSONL session persistence and automatic conte
| `DEEPSEEK_API_KEY` | Credential passed to the OpenAI-compatible host endpoint |
| `DEEPSEEK_BASE_URL` | Host endpoint used by `dsh-llm-deepseek` |
| `DSH_CWD` | Agent workspace for bash and filesystem tools |
| `DSH_CONTEXT_WINDOW` | Context capacity recorded for the `DSH_MODEL` catalog entry in the minimal variant |
| `DSH_MAX_TOKENS_AS_SUCCESS` | `true` (default) accepts token-limited results; `false` reports them as errors |
| `DSH_MODEL` | Default model used by `minimal.py`; `--model` takes precedence |
| `DSH_SESSION_ROOT` | JSONL session directory |
| `DSH_SYSTEM_PROMPT` | Deployment-provided coding persona |
@@ -28,9 +30,9 @@ Pass the config path through the Python SDK's `cordis` option or `DSH_CORDIS_CON
## Minimal variant
[`minimal.cordis.yml`](minimal.cordis.yml) is the complete standalone counterpart of the Web `minimal` preset. It fixes the system prompt and compaction policy, and its model-facing tools are exactly:
[`minimal.cordis.yml`](minimal.cordis.yml) is the complete standalone counterpart of the Web `minimal` preset. `DSH_SYSTEM_PROMPT` selects its system prompt, with `You are a helpful software engineer assistant.` as the fallback, and no context-compaction plugin is mounted. Its model-facing tools are exactly:
- owner-scoped persistent `bash`
- `str_replace_editor` with `view`, `create`, `str_replace`, and `insert`
It composes the local PTY, filesystem intent policy, session sandbox policy, and JSONL persistence needed by the bundled runtime. [`minimal.py`](minimal.py) runs it through the Python SDK; the [Python SDK tutorial](../../docs/user/guide/python-sdk.md) uses this configuration to cover setup, session management, and the security boundary.
It composes the local PTY, bare `fs-local` backend, danger-full-access policy for persistent Bash, and uncompressed JSONL persistence needed by the bundled runtime. [`minimal.py`](minimal.py) runs it through the Python SDK and uses `DSH_MODEL` as its default model; the [Python SDK tutorial](../../docs/user/guide/python-sdk.md) covers setup, session management, and the security boundary.

6
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@@ -20,7 +20,9 @@
| `DEEPSEEK_API_KEY` | 传给 OpenAI 兼容宿主端点的凭据 |
| `DEEPSEEK_BASE_URL` | `dsh-llm-deepseek` 使用的宿主端点 |
| `DSH_CWD` | bash 和文件系统工具使用的 agent workspace |
| `DSH_CONTEXT_WINDOW` | 极简变体中为 `DSH_MODEL` 目录项记录的上下文容量 |
| `DSH_MAX_TOKENS_AS_SUCCESS` | `true`（默认）接受受 token 上限限制的结果；`false` 将其报告为错误 |
| `DSH_MODEL` | `minimal.py` 使用的默认模型；`--model` 优先 |
| `DSH_SESSION_ROOT` | JSONL 会话目录 |
| `DSH_SYSTEM_PROMPT` | 由部署提供的编码人格 |
@@ -28,9 +30,9 @@
## 极简变体
[`minimal.cordis.yml`](minimal.cordis.yml) 是 Web `minimal` preset 的完整独立版本。它固定系统提示词与压缩策略，面向模型的能力严格只有：
[`minimal.cordis.yml`](minimal.cordis.yml) 是 Web `minimal` preset 的完整独立版本。`DSH_SYSTEM_PROMPT` 选择它的系统提示词，未设置时使用 `You are a helpful software engineer assistant.`，且不挂载上下文压缩插件。面向模型的工具严格只有：
- 所有者作用域内持久化的 `bash`
- 提供 `view`、`create`、`str_replace` 与 `insert` 的 `str_replace_editor`
它组合了内置运行时所需的本地 PTY、文件系统意图策略、会话沙箱策略与 JSONL 持久化。[`minimal.py`](minimal.py) 通过 Python SDK 运行该配置；[Python SDK 教程](../../docs/user/guide/python-sdk.md)以此配置介绍设置方式、会话管理与安全边界。
它组合了内置运行时所需的本地 PTY、裸 `fs-local` 后端、供持久 Bash 使用的 danger-full-access 策略，以及未压缩的 JSONL 持久化。[`minimal.py`](minimal.py) 通过 Python SDK 运行该配置，并把 `DSH_MODEL` 作为默认模型；[Python SDK 教程](../../docs/user/guide/python-sdk.md)以此配置介绍设置方式、会话管理与安全边界。

37
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@@ -1,6 +1,6 @@
# Complete unattended minimal-agent composition for the Python SDK. The model
# sees one fixed system prompt and only the owner-scoped persistent Bash and
# string-replace editor tools.
# sees one deployment-selected system prompt and only the owner-scoped
# persistent Bash and string-replace editor tools. Context compaction is absent.
- id: jsonrpc
name: '@deepseek-ai/dsh-jsonrpc'
@@ -9,6 +9,12 @@
- id: llm-deepseek
name: '@deepseek-ai/dsh-llm-deepseek'
config:
apiKeyEnv: DEEPSEEK_API_KEY
streamIdleTimeoutMs: 172800000
models:
- id: !!js process.env.DSH_MODEL ?? 'deepseek-v4-flash'
contextWindow: !!js Number(process.env.DSH_CONTEXT_WINDOW ?? 1000000)
- id: sandbox
name: '@deepseek-ai/dsh-sandbox-local'
@@ -30,22 +36,18 @@
config:
timeoutMs: 300000
# The sandbox-aware filesystem backend applies the same per-session policy as
# Bash. danger-full-access permits unrestricted workspace behavior while
# keeping one policy boundary for both tools.
- id: fs-sandbox
name: '@deepseek-ai/dsh-fs-sandbox'
# The editor uses the bare local filesystem; persistent Bash still consumes the
# shared danger-full-access sandbox policy above.
- id: fs-local
name: '@deepseek-ai/dsh-fs-local'
config:
cwd: !!js process.env.DSH_CWD ?? process.cwd()
- id: fs-policy
name: '@deepseek-ai/dsh-fs-policy'
- id: agent-spine
name: '@deepseek-ai/dsh-agent-spine-demo'
config:
includeHarnessIdentity: false
persona: You are a helpful software engineer assistant.
persona: !!js process.env.DSH_SYSTEM_PROMPT ?? 'You are a helpful software engineer assistant.'
workspaceContext: false
skills:
enabled: false
@@ -76,16 +78,3 @@
config:
root: !!js process.env.DSH_SESSION_ROOT ?? './.sessions'
compression: none
- id: token-meter
name: '@deepseek-ai/dsh-token-meter'
- id: compact-basic
name: '@deepseek-ai/dsh-compact-basic'
config:
thresholdRatio: 0.8
retainTokens: 20480
summarizationProvider: ''
summarizationModel: ''
maxTokens: 8192
compactionRetries: 1

3
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@@ -4,6 +4,7 @@
from __future__ import annotations
import argparse
import os
from pathlib import Path
from deepseek_harness import DeepSeekHarness
@@ -20,7 +21,7 @@ def main() -> None:
parser.add_argument("--session-root", type=Path, default=Path(".dsh-sessions"))
parser.add_argument("--session-id")
parser.add_argument("--provider", default="deepseek-official")
parser.add_argument("--model", default="deepseek-v4-flash")
parser.add_argument("--model", default=os.environ.get("DSH_MODEL", "deepseek-v4-flash"))
parser.add_argument("--max-tokens", type=int)
args = parser.parse_args()

10
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@@ -2,8 +2,8 @@
* Keyless snapshot coverage for the TypeScript SDK path: each scenario spawns
* the REAL `dsh-jsonrpc-agent` runtime (per `DSH_EXAMPLE_MODE`) through the
* REAL `@deepseek-ai/dsh-sdk-client`, drives one turn over stdio JSON-RPC,
* and pins three surfaces — the SDK `RunResult`, the complete notification
* stream, and the persisted session logs. Replay serves recorded model
* and pins the SDK `RunResult`, the complete notification stream, and the
* persisted session logs. Replay serves recorded model
* responses via `llm-replay` (`cordis.snapshot.yml`); `DSH_SNAPSHOT=record`
* re-records against the live API; `DSH_SNAPSHOT=refresh` replays committed
* fixtures and rewrites expected outputs.
@@ -38,7 +38,7 @@ const minimalReplayConfig = join(testsDir, '..', 'minimal.snapshot.cordis.yml')
const runtimeBin = fileURLToPath(new URL('../../../packages/examples/jsonrpc-demo/src/bin.ts', import.meta.url))
const repoTsconfig = fileURLToPath(new URL('../../../tsconfig.json', import.meta.url))
const MINIMAL_SYSTEM_PROMPT = 'You are a helpful software engineer assistant.'
const MINIMAL_SYSTEM_PROMPT = 'You are the environment-selected minimal software engineer.'
const MINIMAL_BASH_DESCRIPTION = `Run commands in a bash shell
* When invoking this tool, the contents of the "command" parameter does NOT need to be XML-escaped.
* You don't have access to the internet via this tool.
@@ -67,6 +67,8 @@ interface SdkScenario {
children: number
/** Optional scenario-specific live and replay compositions. */
configs?: { live: string; replay: string }
/** Environment overrides passed to the runtime subprocess. */
environment?: Readonly<Record<string, string>>
/** Cwd-relative files whose final contents are part of the scenario contract. */
expectedFiles?: Readonly<Record<string, string>>
/** Assembled model-facing tool names and required argument keys. */
@@ -104,6 +106,7 @@ const SCENARIOS: SdkScenario[] = [
sessionId: 'persistent-tools-snapshot',
children: 0,
configs: { live: minimalLiveConfig, replay: minimalReplayConfig },
environment: { DSH_SYSTEM_PROMPT: MINIMAL_SYSTEM_PROMPT },
expectedFiles: { 'note.txt': 'target:\n\tnew\n' },
expectedTools: { bash: ['command'], str_replace_editor: ['command', 'path'] },
expectedSystem: MINIMAL_SYSTEM_PROMPT,
@@ -291,6 +294,7 @@ async function runScenario(scenario: SdkScenario): Promise<{
DSH_SNAPSHOT_FILE: parentFixture,
...childFixtures.length > 0 ? { DSH_SNAPSHOT_CHILD_FILES: childFixtures.join(delimiter) } : {},
},
...scenario.environment,
}
const harness = new DeepSeekHarness({

6
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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 examples/web-schedule/README.md
README.md: 6df88b1ce58080b05bc1ea4de98507263180dfac
README.zh.md: 83e6c7da5e46527a35344b4980e9378a355cb1fc

19
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@@ -0,0 +1,19 @@
# Session-local Schedule
English | [中文](README.zh.md)
This overlay opts one `dsh web` process into Schedule reminders without changing the shipped default Web composition:
```sh
dsh web --patch examples/web-schedule/cordis.yml
```
The current overlay supports reminders created with a positive whole-number `after_seconds`, an absolute `at` target, or a fixed-rate `every_seconds` interval of at least 300 seconds. The model manages them through `schedule_create`, `schedule_list`, and `schedule_delete`; every result identifies delivery as `session-local`.
The browser attaches its IANA zone to each prompt. Time-context tells the model to interpret otherwise-unqualified dates and times in that request's browser zone. This assumption belongs to natural-language interpretation only: `schedule_create.at` must be either a strict RFC 3339 date-time with `Z` or a numeric offset, or `{ date, time, time_zone }` with an explicit `UTC` or IANA Area/Location zone. Schedule does not retain or infer a Session default zone. Daylight-saving gaps are rejected, overlaps choose the first instant, and successful records keep only the resulting UTC target.
The original Session log owns each reminder. A live root Agent waits until it is fully idle, then queues a normal follow-up turn in that conversation. It never steers current work and adds no separate receipt or reminder card. Closing the process or leaving the Session cold stops its in-memory timer without deleting the record; reopening that same Session restores the wait and delivers an overdue reminder. Reading cold history never activates it, and a fork does not inherit its parent's reminders.
Every reminders stay aligned to their creation time. If one is overdue, only its latest due occurrence is presented and the next target remains on the original fixed-rate sequence. All distinct Every records overdue at the same idle decision are combined into one follow-up with one occurrence each; missed intervals do not create a backlog. Due one-shots run before that batch. Calendar and Cron expressions are not supported.
Create and actual delete operations acknowledge success only after Session persistence confirms their event prefix. Schedule does not provide browser, operating-system, email, SMS, or other external notification. A durable dispatch records that the follow-up was queued; it does not acknowledge model success or user receipt.

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# 仅限 Session 内的 Schedule
[English](README.md) | 中文
此 overlay 让一个 `dsh web` 进程显式启用 Schedule 提醒，同时不改变交付的默认 Web 组合：
```sh
dsh web --patch examples/web-schedule/cordis.yml
```
当前 overlay 支持使用正整数 `after_seconds`、绝对时间 `at` 目标，或至少 300 秒的固定速率 `every_seconds` 间隔创建提醒。模型通过 `schedule_create`、`schedule_list` 和 `schedule_delete` 管理它们；每个结果都会把交付标为 `session-local`。
浏览器会为每条提示词附加其 IANA 时区。Time-context 会告诉模型，把未明确限定时区的日期和时间解释为该请求的浏览器时区。此假设仅用于自然语言解释：`schedule_create.at` 必须是带 `Z` 或数值偏移量且严格符合 RFC 3339 的日期时间，或是带显式 `UTC` 或 IANA Area/Location 时区的 `{ date, time, time_zone }`。Schedule 不保留或推断 Session 默认时区。夏令时缺口会被拒绝，重叠时段选择第一个时刻；成功创建的记录只保留所得的 UTC 目标。
每条提醒由原 Session 日志拥有。live 根 Agent 会等待到完全 idle，再在该对话中排入一个普通 follow-up 轮次。它绝不会中途引导当前工作，也不会添加独立回执或提醒卡片。关闭进程或让 Session 保持 cold 会停止内存 timer，但不会删除记录；重新打开同一个 Session 会恢复等待并交付逾期提醒。查看 cold 历史不会激活提醒，fork 也不会继承父 Session 的提醒。
Every 提醒始终与其创建时刻对齐。如果提醒逾期，只会呈现最新一个到期发生时点，下一个目标仍保留在原固定速率序列上。同一次 idle 决策中逾期的所有不同 Every 记录会合并为一个 follow-up，每条记录各有一个发生时点；错过的间隔不会形成积压。已到期的一次性提醒会在该批次之前运行。不支持日历表达式和 Cron 表达式。
创建和实际删除操作只有在 Session persistence 确认对应事件前缀后才会确认成功。Schedule 不提供浏览器、操作系统、邮件、短信或其他外部通知。持久 dispatch 会记录 follow-up 已经入队；它不确认模型成功或用户已收到提醒。

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# Opt-in Schedule patch over the shipped Web composition. The owner observes
# only roots published after this overlay loads.
- insert:
- id: time-context
name: '@deepseek-ai/dsh-time-context'
- id: tool-schedule
name: '@deepseek-ai/dsh-tool-schedule'