Merge branch 'master' into markdown-ui

2026-07-27 15:44:30 +08:00
parent 0a7c8a284d d2edfcca2e
commit b8d7938498
106 changed files with 2594 additions and 491 deletions
@@ -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
-2026-07-20-routed-model-context-and-compaction-policy.md: b637ba24d4ba5fc25c8cdd515a821ee97883a326
-2026-07-20-routed-model-context-and-compaction-policy.zh.md: 084e762ec29ddc0aecb0bf422c147b9d3122726b
+2026-07-20-routed-model-context-and-compaction-policy.md: b00c744e4ac79983a1f492d710e7b1542278c4f4
+2026-07-20-routed-model-context-and-compaction-policy.zh.md: 88e26aa7a99e8deb434d9a8fd80784be410a999a
@@ -14,9 +14,9 @@ Neither obvious configuration owner is sufficient. Compact-basic is optional and

 ### Adapters own exact-route capacity

-`LlmAdapter.resolveModelContext(provider, model)` optionally returns `LlmModelContext` for one exact route. `LlmService.resolveModelContext()` selects the registered route owner, validates a positive integer `contextWindow`, and returns a detached value. The query is independent of `listModels()`: an unlisted dynamic model may have capacity metadata, and `undefined` means only that the adapter cannot describe capacity.
+`LlmAdapter.resolveModel(provider, model, signal?)` returns aggregate metadata for one exact route, with optional `LlmModelContext` under its `context` field. `LlmService.resolveModelInfo()` selects the registered route owner, validates a positive integer `contextWindow`, and returns detached metadata. The query is independent of `listModels()`: an unlisted dynamic model may have capacity metadata, and an absent `context` means only that the adapter cannot describe capacity.

-The hand-rolled DeepSeek adapter accepts optional `contextWindow` on each configured model plus an adapter-wide `defaultContextWindow`. Exact model capacity wins; an entry without capacity and an unlisted pass-through id inherit the adapter default, or return `undefined` when it is absent. The two built-in model entries each publish an exact 128,000-token capacity. The pi-ai adapter resolves capacity from the same catalog descriptor that authoritatively resolves the request model.
+The hand-rolled DeepSeek adapter accepts optional `contextWindow` on each configured model plus an adapter-wide `defaultContextWindow`. Exact model capacity wins; an entry without capacity and an unlisted pass-through id inherit the adapter default, or omit `context` when it is absent. The two built-in model entries each publish an exact 128,000-token capacity. The pi-ai adapter resolves capacity from the same catalog descriptor that authoritatively resolves the request model.

 ### Token measurement remains model-agnostic

@@ -14,9 +14,9 @@ Status: implemented

 ### 适配器拥有精确路由容量

-`LlmAdapter.resolveModelContext(provider, model)` 可以为一条精确路由返回 `LlmModelContext`。`LlmService.resolveModelContext()` 选择已注册的路由所属方，验证 `contextWindow` 为正整数，并返回分离值。该查询独立于 `listModels()`：不在目录中的动态模型也可以拥有容量元数据，而 `undefined` 只表示适配器无法描述容量。
+`LlmAdapter.resolveModel(provider, model, signal?)` 返回一条精确路由的聚合元数据，其中可选的 `LlmModelContext` 位于 `context` 字段下。`LlmService.resolveModelInfo()` 选择已注册的路由所属方，验证 `contextWindow` 为正整数，并返回分离的元数据。该查询独立于 `listModels()`：不在目录中的动态模型也可以拥有容量元数据，而缺少 `context` 只表示适配器无法描述容量。

-手写 DeepSeek 适配器允许每个已配置模型提供可选 `contextWindow`，并支持适配器级 `defaultContextWindow`。精确模型容量优先；未提供容量的模型项与未列出的透传 id 会继承适配器默认值，若默认值也不存在则返回 `undefined`。两个内置模型项都公开精确的 128,000 token 容量。pi-ai 适配器从同一个目录描述符解析容量，该描述符也用于权威解析请求模型。
+手写 DeepSeek 适配器允许每个已配置模型提供可选 `contextWindow`，并支持适配器级 `defaultContextWindow`。精确模型容量优先；未提供容量的模型项与未列出的透传 id 会继承适配器默认值，若默认值也不存在则省略 `context`。两个内置模型项都公开精确的 128,000 token 容量。pi-ai 适配器从同一个目录描述符解析容量，该描述符也用于权威解析请求模型。

 ### Token 计量保持模型无关

@@ -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
+2026-07-24-adapter-owned-reasoning-effort-capabilities.md: cc66e4ec151fcc04445a91f4a3527cbddd130c33
+2026-07-24-adapter-owned-reasoning-effort-capabilities.zh.md: e0d28e1aca370068478e8fb1704defeaac3ab351
@@ -0,0 +1,33 @@
+# Agent Note: Adapter-owned reasoning effort capabilities
+
+Status: implemented
+
+English | [中文](2026-07-24-adapter-owned-reasoning-effort-capabilities.zh.md)
+
+## Problem
+
+Reasoning strength was adapter configuration only, so a conversation could not discover or change the selected model's supported levels between requests. Promoting one adapter's level union into `dsh-llm` would make every provider and model adopt names it may not support, while a provider-specific options bag would make the loop unable to validate or durably reconstruct the effective request.
+
+## Decision
+
+`dsh-llm` represents a reasoning effort as the opaque branded `ReasoningEffortId`. One adapter-owned `resolveModel(provider, model, signal?)` query returns `LlmResolvedModelInfo`: exact model identity plus optional context and reasoning metadata. `LlmService.resolveModelInfo()` validates and detaches that aggregate. When present, `reasoning.efforts` is a non-empty ordered list of ids with display metadata and may name one configured default. The core requires an explicit or configured effort to appear exactly in that list and never clamps or aliases a value.
+
+`LlmCallConfig` and `GenerateOptions` carry the optional effort. The agent loop prepares the post-`agent/request` config under the active turn signal before writing `request/header`, so defaults and dynamic changes are model-visible only after becoming durable facts. The prepared call retains the exact adapter registration across asynchronous exact-model resolution, durable header logging, and dispatch; direct `LlmService.stream()` calls likewise capture their final registration before awaiting resolution. A route with no registered adapter retains its proposed config so an `llm/stream` middleware can own and short-circuit it; terminal dispatch still rejects an unhandled route. A resumed loop retains the logged effort only when its initial provider/model route is unchanged; a route change discards the previous model's opaque id.
+
+The native DeepSeek adapter advertises `off`, `high`, and `max` when deployment policy permits thinking, and defaults to the configured effort or `high`. Its adapter-owned `off` maps to `thinking.type: disabled` with no `reasoning_effort`; `high` and `max` enable thinking and carry their official wire effort. A `thinking: disabled` deployment publishes only `off` and rejects attempts to enable thinking before provider I/O. The pi-ai adapter publishes each exact model's `getSupportedThinkingLevels()` result unchanged, including `off`, preserves an absent profile default as a provider default, and leaves provider wire-value mapping inside pi-ai. Its common stream options represent `off` by omitting `reasoning`, as required by pi-ai's own API.
+
+## Alternatives considered
+
+**Define the pi-ai `ThinkingLevel` union in core.** Rejected because current pi-ai canonical names are an adapter implementation detail; a future provider can expose a different identifier without requiring a core release.
+
+**Carry an untyped provider options object.** Rejected because the loop could neither validate a selected value nor put a stable provider-neutral fact in the request header.
+
+**Clamp unsupported levels.** Rejected because a silent substitution makes the user's selected control differ from the logged request intent and hides stale deployment configuration.
+
+**Normalize every adapter to a core-owned level list or remove `off`.** Rejected because the selectable vocabulary belongs to the exact model capability. A client can render an adapter's `off` option without requiring every adapter to expose it.
+
+## Consequences
+
+Clients can query one exact route once and render its identity, context capacity, and adapter-owned reasoning choices without knowing a global enum or synthesizing `off`. Adapter configuration remains the deployment-default and policy owner, while `agent/request` can replace the effective effort on each step within that policy. Invalid exact identity, context, or reasoning metadata fails with `INVALID_MODEL_INFO`, `INVALID_MODEL_CONTEXT`, or `INVALID_MODEL_REASONING`; unsupported explicit or configured values fail with `UNSUPPORTED_REASONING_EFFORT` before provider I/O.
+
+The aggregate exact-model query is asynchronous and may fail for adapters backed by authoritative catalogs. Its optional signal is the caller's cancellation boundary; an asynchronous adapter must settle promptly after abort so loop disposal can reach quiescence. Keyless service, adapter, loop, session, and request-header tests pin validation, defaulting, dynamic changes, logging, resume behavior, HMR registration ownership, and cancellation; runnable snapshots pin the resolved effort in real assembled request headers, while key-gated adapter tests exercise provider serialization.
@@ -0,0 +1,33 @@
+# Agent Note：适配器持有的推理强度能力
+
+Status: implemented
+
+[English](2026-07-24-adapter-owned-reasoning-effort-capabilities.md) | 中文
+
+## 问题
+
+推理强度过去只能在适配器中配置，因此对话无法在多次请求之间发现或更改所选模型支持的等级。若将某个适配器的等级联合类型提升到 `dsh-llm`，所有提供方和模型都必须采用一套自身可能并不支持的名称；若改用提供方特有的 options 对象，主循环又无法校验最终生效的请求，也无法通过持久化记录准确重建该请求。
+
+## 决策
+
+`dsh-llm` 使用不透明的品牌类型 `ReasoningEffortId` 表示推理强度。由适配器持有的单次 `resolveModel(provider, model, signal?)` 查询返回 `LlmResolvedModelInfo`，其中包含确切模型身份以及可选的上下文和推理元数据。`LlmService.resolveModelInfo()` 会校验该聚合结果并返回分离值。`reasoning.efforts` 存在时，是包含展示元数据的非空有序 ID 列表，并可指定一个由配置确定的默认值。核心要求显式指定或配置指定的推理强度与列表中的某个 ID 完全一致，且绝不自动调整或为值提供别名。
+
+`LlmCallConfig` 和 `GenerateOptions` 携带可选的推理强度。agent loop（智能体循环）在活跃轮次信号的控制下准备 `agent/request` 处理完成后的配置，再写入 `request/header`，因此默认值和动态变更只有成为持久化事实后才对模型可见。准备完成的调用在异步确切模型解析、请求头持久记录和分派全程保留同一项确切的适配器注册；直接调用 `LlmService.stream()` 时，也会在等待解析前捕获最终的适配器注册。没有已注册适配器的路由会保留原定配置，使 `llm/stream` 中间件可以接管并短路该请求；若仍未得到处理，最终分发会拒绝该路由。恢复后的主循环仅在初始提供方/模型路由未变时保留日志中记录的推理强度；如果路由发生变化，则丢弃上一模型的不透明 ID。
+
+当部署策略允许思考时，原生 DeepSeek 适配器声明 `off`、`high` 和 `max`，默认使用配置指定的推理强度，若未配置则使用 `high`。由适配器持有的 `off` 映射为 `thinking.type: disabled`，且不带 `reasoning_effort`；`high` 和 `max` 会启用思考并携带各自的官方协议强度值。配置为 `thinking: disabled` 的部署仅声明 `off`，并会在提供方 I/O 前拒绝启用思考的尝试。pi-ai 适配器原样发布每个确切模型的 `getSupportedThinkingLevels()` 结果，其中包括 `off`；profile 未指定默认值时保留提供方默认行为，并将提供方协议值的映射留在 pi-ai 内部。按照 pi-ai 自身 API 的要求，其通用流选项通过省略 `reasoning` 来表示 `off`。
+
+## 备选方案
+
+**在核心中定义 pi-ai 的 `ThinkingLevel` 联合类型。** 不予采纳：pi-ai 当前的规范名称属于适配器实现细节；未来的提供方可以暴露不同的标识符，而无需为此发布新的核心版本。
+
+**携带无类型约束的提供方 options 对象。** 不予采纳：主循环既无法校验选定值，也无法在请求头中写入稳定且与提供方无关的事实。
+
+**自动调整不支持的等级。** 不予采纳：静默替换会导致用户选定的控制项与日志记录的请求意图不一致，还会掩盖陈旧的部署配置。
+
+**将每个适配器规范化为核心持有的等级列表，或移除 `off`。** 不予采纳：可选值集合属于确切模型的能力。客户端可以渲染某个适配器的 `off` 选项，而无需要求所有适配器都暴露该选项。
+
+## 影响
+
+客户端只需查询一次确切路由，即可渲染其身份、上下文容量和由适配器持有的推理选项，而无需了解全局枚举或自行合成 `off`。适配器配置仍是部署默认值和策略的归属方，`agent/request` 则可以在该策略范围内为每个步骤替换实际生效的推理强度。确切身份、上下文或推理元数据无效时，分别抛出 `INVALID_MODEL_INFO`、`INVALID_MODEL_CONTEXT` 或 `INVALID_MODEL_REASONING`；显式指定或配置指定的值不受支持时，会在提供方 I/O 前抛出 `UNSUPPORTED_REASONING_EFFORT`。
+
+确切模型元数据的聚合查询采用异步方式，并且对于由权威目录支持的适配器可能失败。可选信号构成调用方的取消边界；异步适配器必须在信号中止后迅速完成结算，使主循环的资源释放达到完全停稳。无密钥的服务、适配器、主循环、会话和请求头测试为校验、默认值解析、动态变更、日志记录、恢复行为、HMR（热模块替换）期间的注册所有权和取消提供回归保障；可运行快照锁定实际组装请求头中的已解析推理强度，仅在有密钥时运行的适配器测试则覆盖提供方序列化。
@@ -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
-2026-07-17-dedicated-full-screen-tui-front-door.md: aac67ffec89606d04d5abfd233d0469e2241b102
-2026-07-17-dedicated-full-screen-tui-front-door.zh.md: 0f64e2ce14b18d315f75913b82c731e77758e377
+2026-07-17-dedicated-full-screen-tui-front-door.md: 8d7c7b00c8d9b15ea3f2419ed44ca88209e60dad
+2026-07-17-dedicated-full-screen-tui-front-door.zh.md: 49e9541c9f98c9f3beba11945ff452fc38bd9ede
@@ -22,9 +22,9 @@ The selected front door receives the exact generated or resumed `SessionId` used

 The TUI rebuilds the transcript from the active `session.surface` and reprojects it whenever an event carries a `surfaceOp`, so resumed and compacted history matches the model-visible conversation. It renders Markdown text and reasoning, token totals, the latest `todo/write` plan, and tool cards produced through each tool definition's `presentCall` and `presentResult` methods. Long card bodies retain a configurable head/tail preview with the hidden-line count; one terminal control expands or collapses every card. Pending chunks and tool calls update the same components that completed events settle.

-Editor input calls `agent.send()` while idle and `agent.steer()` while a turn is running. Cancellation, reasoning visibility, tool-card expansion, redraw, transcript clearing, and exit are terminal-only controls. The idle footer derives context occupancy from `tokenMeter` and shows the selected model; during a run, elapsed activity and the Escape interrupt hint replace that summary. `/status` remains available in either state and appends a detailed terminal-only snapshot: session identity and timestamps, selected model and reasoning visibility, lifecycle counts folded from the event log, the same deduplicated usage buckets and KV-cache rate as the footer, and context use from `tokenMeter` plus the selected model's advertised capacity. The plugin registers the shared `userInteraction` provider and presents queued questions in a wide bottom-left keyboard panel with batch progress, numbered options, and aligned descriptions; agent behavior and answer logging remain owned by their existing services.
+Editor input calls `agent.send()` while idle and `agent.steer()` while a turn is running. Cancellation, reasoning visibility, tool-card expansion, redraw, transcript clearing, and exit are terminal-only controls. The idle footer derives context occupancy from `tokenMeter` and shows the selected model and explicit reasoning effort; during a run, elapsed activity and the Escape interrupt hint replace that summary. `/status` remains available in either state and appends a detailed terminal-only snapshot: session identity and timestamps, selected model, reasoning effort/default state and reasoning visibility, lifecycle counts folded from the event log, the same deduplicated usage buckets and KV-cache rate as the footer, and context use from `tokenMeter` plus the selected model's advertised capacity. The plugin registers the shared `userInteraction` provider and presents queued questions in a wide bottom-left keyboard panel with batch progress, numbered options, and aligned descriptions; agent behavior and answer logging remain owned by their existing services.

-The `/model` command presents the advisory `ctx.llm` catalog as a keyboard selector and changes only this TUI session's target; argument forms remain available for direct selection. Agent-scoped prompt-assembly and request waterfalls snapshot one provider/model pair per step, so `{{provider}}` / `{{model}}` interpolation and request routing cannot split when a command arrives during assembly. The latest logged request header restores a used target; a selection that never reaches a request remains process-local.
+The `/model` command presents the advisory `ctx.llm` catalog as a keyboard selector and changes only this TUI session's target; argument forms remain available for direct selection. Each model row owns the adapter-advertised reasoning-effort order and default: Shift+Tab cycles that row's efforts, includes provider-default behavior when the adapter advertises no default, and leaves models without selectable metadata unchanged. Agent-scoped prompt-assembly and request waterfalls snapshot one provider/model/reasoning-effort target per step, so `{{provider}}` / `{{model}}` interpolation and request routing cannot split when a command arrives during assembly. The latest logged request header restores a used target; a selection that never reaches a request remains process-local.

 ### Terminal ownership

@@ -49,4 +49,4 @@ The implemented [TUI terminal-state snapshot Agent Note](../testing/2026-07-18-t
 - The TUI carries a pi-tui dependency and a strict TTY requirement; non-TTY deployments use the Headless app or a structured protocol.
 - Session projection makes resume and compaction consistent with the durable conversation, but one configured session owns the transcript and editor.
 - Tool packages extend terminal cards through their existing presentation methods without adding tool-specific branches to the TUI.
- Model selection uses adapter-advertised metadata without turning catalog membership into request validation; unused selections are not durable state.
+- Model and reasoning-effort selection use adapter-advertised metadata without turning catalog membership into request validation; unused selections are not durable state.
@@ -22,9 +22,9 @@ DeepSeek Harness 将 [`@deepseek-ai/dsh-tui`](../../../../packages/ui/tui/README

 TUI 从活跃的 `session.surface` 重建 transcript（文本记录），并在事件携带 `surfaceOp` 时重新投影，因此恢复或压缩后的历史与模型可见会话保持一致。TUI 渲染 Markdown 文本与推理、token 用量、最新 `todo/write` 计划，以及各工具定义通过 `presentCall` 和 `presentResult` 方法生成的工具卡片。较长的工具卡片正文会保留可配置的头尾预览，并显示隐藏行数；一个终端控制可以展开或收起全部卡片。进行中的分片与工具调用会更新同一组组件，随后由完成事件收束状态。

-agent 空闲时，编辑器输入调用 `agent.send()`；轮次运行中则调用 `agent.steer()`。取消、推理显隐、工具卡片展开、重绘、清空 transcript 和退出都只是终端控制。空闲态页脚根据 `tokenMeter` 得出上下文占用率，并显示所选模型；agent 运行期间，该摘要会替换为带已用时长的活动指示和 Escape 中断提示。`/status` 在这两种状态下均可用，并会追加一份仅在终端显示的详细快照，其中包括会话标识与时间戳、所选模型及推理显隐状态、从事件日志归并得出的生命周期计数、与页脚一致的去重用量分项和 KV 缓存命中率，以及 `tokenMeter` 给出的上下文用量和所选模型公布的容量。插件注册共享的 `userInteraction` 提供方，在左下角宽幅键盘操作面板中呈现排队的问题，面板显示批次进度、带编号的选项和对齐的描述；agent 行为和答案日志仍由既有服务负责。
+agent 空闲时，编辑器输入调用 `agent.send()`；轮次运行中则调用 `agent.steer()`。取消、推理显隐、工具卡片展开、重绘、清空 transcript 和退出都只是终端控制。空闲态页脚根据 `tokenMeter` 得出上下文占用率，并显示所选模型和显式选定的推理强度；agent 运行期间，该摘要会替换为带已用时长的活动指示和 Escape 中断提示。`/status` 在这两种状态下均可用，并会追加一份仅在终端显示的详细快照，其中包括会话标识与时间戳、所选模型、推理强度（或默认状态）及推理显隐状态、从事件日志归并得出的生命周期计数、与页脚一致的去重用量分项和 KV 缓存命中率，以及 `tokenMeter` 给出的上下文用量和所选模型公布的容量。插件注册共享的 `userInteraction` 提供方，在左下角宽幅键盘操作面板中呈现排队的问题，面板显示批次进度、带编号的选项和对齐的描述；agent 行为和答案日志仍由既有服务负责。

-`/model` 命令将建议性的 `ctx.llm` 目录呈现为键盘选择器，并且只更改当前 TUI 会话的目标；带参数的形式仍可直接选择目标。agent 作用域内的 prompt 组装和请求两条 waterfall（瀑布式事件）会为每个 step 快照一次同一个提供方/模型字段组合，因此即使命令在组装期间到达，`{{provider}}` / `{{model}}` 插值与请求路由也不会分裂。系统通过日志中最新的请求头恢复已经使用过的目标；未被请求使用的选择只保留在当前进程中。
+`/model` 命令将建议性的 `ctx.llm` 目录呈现为键盘选择器，并且只更改当前 TUI 会话的目标；带参数的形式仍可直接选择目标。每个模型行都持有适配器公布的推理强度顺序和默认值：按 Shift+Tab 可循环切换该行的推理强度；如果适配器没有公布默认值，循环中还会包含提供方默认行为；没有可选元数据的模型则保持不变。agent 作用域内的 prompt 组装和请求两条 waterfall（瀑布式事件）会为每个步骤快照一次同一个提供方/模型/推理强度目标，因此即使命令在组装期间到达，`{{provider}}` / `{{model}}` 插值与请求路由也不会分裂。系统通过日志中最新的请求头恢复已经使用过的目标；未被请求使用的选择只保留在当前进程中。

 ### 终端所有权

@@ -49,4 +49,4 @@ agent 空闲时，编辑器输入调用 `agent.send()`；轮次运行中则调
 - TUI 会引入 pi-tui 依赖并严格要求 TTY；非 TTY 部署使用 Headless app 或结构化协议。
 - 会话投影使恢复和压缩与持久会话保持一致，但只有一个已配置会话拥有 transcript 和编辑器。
 - 工具包通过既有呈现方法扩展终端卡片，无需在 TUI 中增加工具专用分支。
- 模型选择使用适配器提供的目录元数据，但不会把目录成员关系变成请求校验；未使用的选择不属于持久化状态。
+- 模型和推理强度选择使用适配器公布的元数据，但不会把目录成员关系变成请求校验；未使用的选择不属于持久化状态。
@@ -1,6 +1,6 @@
 # Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
 # side as of the last confirmed-consistent state. Both languages carry equal authority;
 # after editing either side, bring the other along and re-record with:
-#   pnpm run verify-translation-pairing --write
-2026-07-24-web-gui-browser-e2e-lane.md: c4e34b3f44162c7021cb25681eea7e49ac78f672
-2026-07-24-web-gui-browser-e2e-lane.zh.md: 466e1c0fc16aac21b87b68cfedaec4fb22a417e2
+#   pnpm run verify-translation-pairing --write .agents/notes/implemented/testing/2026-07-24-web-gui-browser-e2e-lane.md
+2026-07-24-web-gui-browser-e2e-lane.md: d9e0a9660ecd6aeb75e835e68f92c0a268423872
+2026-07-24-web-gui-browser-e2e-lane.zh.md: e8c7d1c4596f20d88bd08423549fb6a9f7b0654b
@@ -18,7 +18,7 @@ A plain shared-fixture module (the [testing-policy sanctioned shape](../../../..

 `launchWebScaffold()` boots the real web composition from the shipped `apps/cli/cordis.yml` through the vendored Loader's include mechanism — the same tree and mechanism `AppCLIEntry` drives for `dsh web`. Divergences ride include patches over that tree, the ACP `cordis.snapshot.yml` pattern expressed in-process: temp `persistenceRoot`, `workspace-context` disabled (recorded fixtures must not embed this repo's AGENTS.md), `session-title-llm` disabled (its fire-and-forget title call would race the loop for the session's replay cursor), the webserver row pinned to port 0 with the built dist, and in keyless modes `llm-deepseek` disabled. A patch id that stops matching a row fails the boot sweep loudly instead of drifting. The boot runs `chdir`'d to the temp workspace so the api-gateway's `process.cwd()` session default, tool cwds, and fixtures agree; the `dsh web` bin's own glue (argv, profile json, AppCLIEntry) stays held by the keyless CLI smokes in `smoke-real.e2e.ts`. Setup rollback and ordinary close both dispose the Cordis tree before removing the two owned temp roots, attempt every cleanup independently, and report cleanup failures without masking the setup failure.

-Keyless model displacement is the disabled adapter row plus `installLlmReplay` filling the open seam on the settled root ctx in providers-catalog mode — never catch-all: with the adapter row disabled no adapter exists, so catch-all would leave `resolveModelContext` unroutable and `compact-basic`'s post-step pressure check would warn every step instead of being provably inert (the published 128k `contextWindow` keeps it inert for small fixtures). The direct install rather than an inserted replay plugin row is deliberate: it returns the `ReplayHandle` the teardown consumption check needs. A scenario with no fixture leaves the seam empty, so a stray stream fails loud with NO_ADAPTER.
+Keyless model displacement is the disabled adapter row plus `installLlmReplay` filling the open seam on the settled root ctx in providers-catalog mode — never catch-all: with the adapter row disabled no adapter exists, so catch-all would leave `resolveModelInfo` unroutable and `compact-basic`'s post-step pressure check would warn every step instead of being provably inert (the published 128k `contextWindow` keeps it inert for small fixtures). The direct install rather than an inserted replay plugin row is deliberate: it returns the `ReplayHandle` the teardown consumption check needs. A scenario with no fixture leaves the seam empty, so a stray stream fails loud with NO_ADAPTER.

 `seedSession()` seeds cold sessions through the real persistence API — a throwaway `Context` mounting `SessionStore` + `SessionPersistenceJsonl` against the host's root, `create()` + `append()`, one `utimes` backdate for deterministic sidebar order (the `semantic-checkpoint.snapshot.ts` precedent) — never raw file writes, so the seeder knows nothing of bucket hashing, filename encoding, or compression, and the host's zstd default needs no boot knob. Seeds are validated at seed time (parseable, ending in `turn/end` — an open final turn would be mutated by resume's crash repair).

@@ -18,7 +18,7 @@ Web GUI 以一条真实组装链交付——chromium 页面 → client 插件 bu

 `launchWebScaffold()` 通过 vendored Loader 的 include 机制，从交付的 `apps/cli/cordis.yml` 启动真实 web 组合——与 `AppCLIEntry` 为 `dsh web` 驱动的是同一棵树、同一套机制。差异全部经 include patch 覆盖在这棵树上，即 ACP `cordis.snapshot.yml` 模式的进程内表达：临时 `persistenceRoot`；禁用 `workspace-context`（录制的 fixture 不得嵌入本仓库的 AGENTS.md）；禁用 `session-title-llm`（其发后不管的标题调用会与循环争抢会话的回放游标）；webserver 行钉到端口 0 加已构建 dist；无密钥模式下禁用 `llm-deepseek`。patch 的 id 一旦不再匹配任何行，boot 扫描会大声失败而不是漂移。boot 在临时工作区 `chdir` 下运行，使 api-gateway 的 `process.cwd()` 会话默认值、工具 cwd 与 fixture 一致；`dsh web` bin 自身的胶水（argv、profile json、AppCLIEntry）仍由 `smoke-real.e2e.ts` 中的无密钥 CLI 冒烟把守。初始化回滚和正常关闭都会先对 Cordis 树执行 dispose（资源释放），再删除 scaffold 持有的两个临时根目录；每项清理都会独立尝试，并会报告清理失败而不掩盖初始化失败。

-无密钥的模型替换 = 禁用适配器行的 patch 加 `installLlmReplay` 在停稳的根 ctx 上以提供方目录（providers-catalog）模式填充开放的 seam——绝不用 catch-all：适配器行被禁用后不存在任何适配器，catch-all 会让 `resolveModelContext` 无路由可走，`compact-basic` 的步后压力检查将步步告警，而不是被可证明地闲置（发布的 128k `contextWindow` 使该路径对小 fixture 保持闲置）。选择直接安装而非插入回放插件行是刻意的：直接安装返回收尾消费检查所需的 `ReplayHandle`。没有 fixture 的场景让 seam 保持空置，任何离群的流式调用都会以 NO_ADAPTER 大声失败。
+无密钥的模型替换 = 禁用适配器行的 patch 加 `installLlmReplay` 在停稳的根 ctx 上以提供方目录（providers-catalog）模式填充开放的 seam——绝不用 catch-all：适配器行被禁用后不存在任何适配器，catch-all 会让 `resolveModelInfo` 无路由可走，`compact-basic` 的步后压力检查将步步告警，而不是被可证明地闲置（发布的 128k `contextWindow` 使该路径对小 fixture 保持闲置）。选择直接安装而非插入回放插件行是刻意的：直接安装返回收尾消费检查所需的 `ReplayHandle`。没有 fixture 的场景让 seam 保持空置，任何离群的流式调用都会以 NO_ADAPTER 大声失败。

 `seedSession()` 通过真实持久化 API 播种冷会话——一次性 `Context` 挂载 `SessionStore` + `SessionPersistenceJsonl` 指向 host 的根目录，`create()` + `append()`，一次 `utimes` 回拨保证侧栏顺序确定（`semantic-checkpoint.snapshot.ts` 先例）——绝不裸写文件，因此播种器对桶哈希、文件名编码、压缩一无所知，host 的 zstd 默认值也无需任何启动开关。种子在播种时即校验（可解析、以 `turn/end` 结尾——未闭合的最终轮次会被恢复（resume）的崩溃修复改写）。

@@ -64,7 +64,7 @@ const CONFIG_PATH = join(REPO_ROOT, 'apps/cli/cordis.yml')

 // Replay publishes the provider catalog the gateway routes to (providers
 // mode, never catch-all: with llm-deepseek disabled no adapter exists, so a
-// catch-all would leave resolveModelContext unroutable and compact-basic's
+// catch-all would leave resolveModelInfo unroutable and compact-basic's
 // post-step pressure check would warn every step). The published
 // contextWindow keeps that pressure path provably inert for small fixtures.
 const REPLAY_PROVIDERS = [{ id: 'deepseek', name: 'DeepSeek', models: [{ id: 'deepseek-v4-flash', contextWindow: 128_000 }] }]
@@ -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
-architecture.md: b426891c0483f42a64b597632cf1871aff79ca2d
-architecture.zh.md: 13feefb6854e79ddee38602902d325a789fd7744
+architecture.md: 34e56dd955e6ac5ad8fad236bdf7ae9cfc810a83
+architecture.zh.md: ea105b869eba799d00dfaa134ed34d14c7505fc8
@@ -91,7 +91,7 @@ forever:
      agent/pre-step
      snapshot the derived messages (the reconstruction boundary)
      'step/start'
-      agent/request (config only) -> log request/header -> checkpoint -> llm/stream (frozen)
+      agent/request -> prepare reasoning/default under turn signal -> log request/header -> checkpoint -> llm/stream (frozen, registration-bound)
      on final adapter-path or terminal in-band failure:
        'step/end'
        agent/request-error(original error, failure facts, immutable prior failures, signal)
@@ -125,7 +125,7 @@ Pruning precedes summaries; overflow retries require durable progress. Bounded r

 Adapter failures close the step before `agent/request-error` with exact `Error`, `LlmFailure`, and history. Retries open steps; success clears history; exhaustion stores failure on `turn/end`. Failed chunks commit nothing.

-Other failures use `agent/error`. Cancellation and disposal beat recovery; undispatched tools get synthetic `tool/call`/`ABORTED_BEFORE_DISPATCH` pairs. The signal retires before `turn/end`. Effective `cancel()` emits its cause, clears queues, and aborts; observers cannot veto, idle calls emit nothing, and durability records `aborted`. Disposal awaits quiescence ([decision](../.agents/notes/implemented/architecture/2026-07-16-explicit-turn-cancellation.md)).
+Other failures use `agent/error`. Cancellation and disposal beat recovery; the turn signal also cancels asynchronous model-capability preparation before any request header is committed, and undispatched tools get synthetic `tool/call`/`ABORTED_BEFORE_DISPATCH` pairs. The signal retires before `turn/end`. Effective `cancel()` emits its cause, clears queues, and aborts; observers cannot veto, idle calls emit nothing, and durability records `aborted`. Disposal awaits quiescence ([decision](../.agents/notes/implemented/architecture/2026-07-16-explicit-turn-cancellation.md)).

 Session events are turn-enclosed; reload closes an interrupted tail with a synthetic `interrupted` turn end. Post-close failures use `agent/error`. Each turn has one [TurnEndReason](core-data-structures/session.md#why-a-turn-ended-turnendreasonmap).

@@ -91,7 +91,7 @@ forever:
      agent/pre-step
      snapshot the derived messages (the reconstruction boundary)
      'step/start'
-      agent/request (config only) -> log request/header -> checkpoint -> llm/stream (frozen)
+      agent/request -> prepare reasoning/default under turn signal -> log request/header -> checkpoint -> llm/stream (frozen, registration-bound)
      on final adapter-path or terminal in-band failure:
        'step/end'
        agent/request-error(original error, failure facts, immutable prior failures, signal)
@@ -125,7 +125,7 @@ forever:

 适配器故障会先关闭步骤，再进入 `agent/request-error`；该事件会收到准确的 `Error`、`LlmFailure` 和历史记录。重试会开启步骤；成功会清除历史记录；重试耗尽后，故障存入 `turn/end`。失败分片不会提交任何内容。

-其他故障使用 `agent/error`。取消和资源释放均优先于恢复；尚未分派的工具会得到合成的 `tool/call`/`ABORTED_BEFORE_DISPATCH` 对。信号会在 `turn/end` 前失效。实际生效的 `cancel()` 会发出原因、清空队列并中止；观察方不能否决该操作，空闲状态下的调用不发出任何事件，持久化会记录 `aborted`。dispose（资源释放）会等待系统停稳（[决策](../.agents/notes/implemented/architecture/2026-07-16-explicit-turn-cancellation.md)）。
+其他故障使用 `agent/error`。取消和资源释放均优先于恢复；轮次信号还会在提交任何请求头之前取消异步模型能力准备，尚未分派的工具会得到合成的 `tool/call`/`ABORTED_BEFORE_DISPATCH` 对。信号会在 `turn/end` 前失效。实际生效的 `cancel()` 会发出原因、清空队列并中止；观察方不能否决该操作，空闲状态下的调用不发出任何事件，持久化会记录 `aborted`。dispose（资源释放）会等待系统停稳（[决策](../.agents/notes/implemented/architecture/2026-07-16-explicit-turn-cancellation.md)）。

 会话事件均位于轮次边界内；重新加载会用合成的 `interrupted` 轮次结束事件闭合中断的日志尾部。关闭后的故障使用 `agent/error`。每个轮次有一个 [TurnEndReason](core-data-structures/session.md#why-a-turn-ended-turnendreasonmap)。

@@ -565,18 +565,19 @@ Requires: `llm`
 /**
 * Plugin config, validated by the same-named schemastery schema. Every field
 * is optional in yml: credentials/endpoint fall back to the environment (a
- * missing API key fails plugin load, not the first call), and omitted
- * thinking fields send nothing on the wire, so the provider default applies.
+ * missing API key fails plugin load, not the first call), omitted thinking
+ * mode uses the provider default, and omitted reasoning effort resolves to
+ * `high`.
 */
 export interface Config {
  /** API key; falls back to $DEEPSEEK_API_KEY. Required one way or the other. */
  apiKey?: string
  /** Endpoint base; falls back to $DEEPSEEK_BASE_URL, then the public API. */
  baseURL?: string
-  /** Thinking-mode default for every request (provider default: enabled). */
+  /** Deployment thinking policy; `disabled` limits every conversation request to `off`. */
  thinking?: 'enabled' | 'disabled'
-  /** Thinking effort (only meaningful with thinking enabled). */
-  reasoningEffort?: 'high' | 'max'
+  /** Default thinking effort (default `high`); `off` disables thinking per request. */
+  reasoningEffort?: 'off' | 'high' | 'max'
  /** Positive context capacity used when the selected model has no exact value. */
  defaultContextWindow?: number
  /** Advisory models shown by discovery consumers; defaults to V4 Flash and V4 Pro. */
@@ -598,7 +599,7 @@ export interface DeepSeekCatalogModel {
 }
 ```

-Source: [`packages/llm/llm-deepseek/src/index.ts:34`](../packages/llm/llm-deepseek/src/index.ts)
+Source: [`packages/llm/llm-deepseek/src/index.ts:35`](../packages/llm/llm-deepseek/src/index.ts)

 ## `@deepseek-ai/dsh-llm-pi-ai`

@@ -622,7 +623,7 @@ export interface PiAiProviderProfile {
  /** Provider request headers; Harness attribution wins reserved names. */
  headers?: Record<string, string>
  /** Provider-neutral pi-ai reasoning level. */
-  reasoning?: ThinkingLevel
+  reasoning?: ModelThinkingLevel
  /** Token budgets used by reasoning providers that support them. */
  thinkingBudgets?: ThinkingBudgets
  /** Prompt-cache retention preference. */
@@ -638,7 +639,7 @@ export interface PiAiProviderProfile {
 }
 ```

-Depends on: `CacheRetention` (`@earendil-works/pi-ai`) · `ThinkingBudgets` (`@earendil-works/pi-ai`) · `ThinkingLevel` (`@earendil-works/pi-ai`) · `Transport` (`@earendil-works/pi-ai`)
+Depends on: `CacheRetention` (`@earendil-works/pi-ai`) · `ModelThinkingLevel` (`@earendil-works/pi-ai`) · `ThinkingBudgets` (`@earendil-works/pi-ai`) · `Transport` (`@earendil-works/pi-ai`)

 Source: [`packages/llm/llm-pi-ai/src/config.ts:48`](../packages/llm/llm-pi-ai/src/config.ts)

@@ -688,7 +689,7 @@ export interface ReplayModelConfig {
 }
 ```

-Source: [`packages/support/llm-replay/src/index.ts:590`](../packages/support/llm-replay/src/index.ts)
+Source: [`packages/support/llm-replay/src/index.ts:598`](../packages/support/llm-replay/src/index.ts)

 ## `@deepseek-ai/dsh-llm-retry`

@@ -1781,7 +1782,7 @@ export interface TuiConfig {
 }
 ```

-Source: [`packages/ui/tui/src/index.ts:270`](../packages/ui/tui/src/index.ts)
+Source: [`packages/ui/tui/src/index.ts:273`](../packages/ui/tui/src/index.ts)

 ## `@deepseek-ai/dsh-tui-demo`

@@ -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
-adding-an-llm-adapter.md: f20442b8c2ce823452a3ea13409f202185d12d04
-adding-an-llm-adapter.zh.md: 2864dd1e18742c7449e24f22504a5a38976ab450
+adding-an-llm-adapter.md: 659fdab30e753c9a7acf9e06f85ebfc83480ec50
+adding-an-llm-adapter.zh.md: 5e2a84c82f9a8025c951b1bb2b44ba8b8950f5e3
@@ -32,7 +32,7 @@ Registration is effect-based (HMR-safe); one adapter per provider route — dupl
 - A `GenerateOptions` field your provider cannot honor (e.g. a `stop` list on a provider without stop sequences): throw `LlmError(..., 'UNSUPPORTED')` rather than silently dropping it.
 - If the provider requires response ids, signatures, or other native metadata on follow-up calls, emit the minimal lossless-JSON projection as `finish.replayState`. Validate it when rebuilding history. `LlmService` passes it only when the historical provider route and target provider route are currently owned by the exact same adapter instance; your adapter decides whether same-model, cross-model, or cross-provider restoration is legal. Never infer native replay from provider/model names alone when state is absent.

-Provider-specific request knobs (thinking modes, effort levels) belong in the ADAPTER's Config, not in `GenerateOptions` — the core vocabulary stays provider-neutral.
+Provider-specific thinking-mode toggles remain in the adapter's Config. Exact model metadata uses one provider-neutral capability seam: implement `resolveModel()` with provider/model identity and optional `context` and `reasoning` fields, declare a configured `defaultEffort` only when one exists, and honor the resolver's optional `AbortSignal`. Reasoning efforts are ordered opaque ids mapped to provider requests by the adapter. Preserve the adapter's authoritative selectable list, including an adapter-defined `off` when supported, without exposing final wire spellings or clamping unsupported values; an id need not equal its wire representation.

 ## Structure that worked

@@ -32,7 +32,7 @@ export function apply(ctx: Context, config: Config) {
 - 如果 `GenerateOptions` 中某个字段你的提供方无法支持（例如提供方不支持 stop sequences 时收到 `stop` 列表）：抛出 `LlmError(..., 'UNSUPPORTED')`，而非静默丢弃。
 - 如果提供方在后续调用中需要响应 ID、签名或其他原生元数据，请将其最小无损 JSON 投影作为 `finish.replayState` 发出。重建历史时验证该状态。只有历史提供方路由和目标提供方路由当前由完全相同的适配器实例拥有时，`LlmService` 才会传递该状态；由适配器决定同模型、跨模型或跨提供方恢复是否合法。状态缺失时，切勿仅根据提供方/模型名称推断原生回放。

-提供方特有的请求旋钮（thinking 模式、effort 级别）放在**适配器**的 Config 中，而非 `GenerateOptions` 中——核心词汇保持提供方无关。
+提供方特有的 thinking 模式开关仍放在适配器的 Config 中。确切模型元数据使用一处提供方无关的能力 seam：实现 `resolveModel()`，返回提供方/模型身份以及可选的 `context` 和 `reasoning` 字段；仅当存在配置指定的默认值时才声明 `defaultEffort`；响应传给解析器的可选 `AbortSignal`。推理强度是由适配器映射到提供方请求的有序不透明 ID。请保留适配器给出的权威可选列表，包括适配器在支持时定义的 `off`；不得暴露最终协议值的具体拼写，也不得自动调整不支持的值。ID 无需与其协议表示相同。

 ## 经验证有效的结构

@@ -616,7 +616,7 @@ Waterfall around every streaming model call (retry, replay, routing). Bound to t

 Types: [GenerateOptions](../core-data-structures/core.md) · [LlmService](../core-data-structures/llm-streaming.md) · [StreamChunk](../core-data-structures/llm-streaming.md)

-Source: [`packages/llm/llm/src/index.ts:52`](../../packages/llm/llm/src/index.ts)
+Source: [`packages/llm/llm/src/index.ts:53`](../../packages/llm/llm/src/index.ts)

 ## `session/*`

@@ -730,33 +730,57 @@ listProviders(): LlmProviderInfo[]
 async listModels(provider: string): Promise<LlmModelInfo[]>

 /**
- * Resolve context capacity from the adapter that owns one exact route.
- * This query is independent of the advisory model catalog: an unlisted model
- * may return metadata, while `undefined` never rejects later routing.
+ * Resolve and validate all metadata from the adapter that owns one exact
+ * route. The result is detached from adapter-owned objects; catalog
+ * membership remains advisory and does not control request routing.
 * @param provider - registered provider route to inspect.
 * @param model - exact model id passed to the adapter.
- * @returns detached context metadata, or `undefined` when the adapter has none.
+ * @param signal - optional cancellation for adapter-owned asynchronous lookup.
+ * @returns exact model identity plus available context and reasoning metadata.
 */
-async resolveModelContext( provider: string, model: string, ): Promise<LlmModelContext | undefined>
+async resolveModelInfo( provider: string, model: string, signal?: AbortSignal, ): Promise<LlmResolvedModelInfo>
+
+/**
+ * Validate a conversation call config against its exact model capability and
+ * materialize an adapter-configured default. Unsupported explicit efforts
+ * reject before provider I/O; no clamping or aliasing is performed. This
+ * standalone query does not bind a later dispatch; use {@link prepareCall}
+ * when logging and streaming must share one adapter registration.
+ * @param config - provider/model route and optional request controls.
+ * @param signal - optional cancellation for adapter-owned capability lookup.
+ * @returns a detached config only when a default must be materialized.
+ */
+async resolveCallConfig(config: LlmCallConfig, signal?: AbortSignal): Promise<LlmCallConfig>
+
+/**
+ * Resolve one call under its current adapter registration. The returned
+ * one-shot handle keeps that registration across header logging and dispatch,
+ * so HMR cannot combine one adapter's capability result with another adapter.
+ * @param config - provider/model route and optional request controls.
+ * @param signal - optional cancellation for adapter-owned capability lookup.
+ * @returns a prepared config and its registration-bound stream entry point.
+ */
+async prepareCall(config: LlmCallConfig, signal?: AbortSignal): Promise<PreparedLlmCall>

 /**
 * Stream one model call as raw chunks (token-level deltas). Throws
 * `LlmError` with code `NO_ADAPTER` if no adapter is registered for
 * `options.provider`. Replay state is retained only when the same adapter
 * instance owns its historical provider and the target provider. Final
- * adapter selection, dispatch, and iteration failures retain their original
- * Error identity and are tagged in a call-local scope for narrow agent-loop
- * request recovery; middleware and nested-call failures remain untagged for
- * the outer call.
+ * adapter selection remains fixed through asynchronous exact-model resolution
+ * and dispatch. Selection, dispatch, and iteration failures retain their
+ * original Error identity and are tagged in a call-local scope for narrow
+ * agent-loop request recovery; middleware and nested-call failures remain
+ * untagged for the outer call.
 * @param options - the full request; `options.provider` selects the adapter.
 * @returns the chunk stream, possibly wrapped by `llm/stream` listeners.
 */
 stream(options: GenerateOptions): AsyncIterable<StreamChunk>
 ```

-Types: [GenerateOptions](../core-data-structures/core.md) · [LlmAdapter](../core-data-structures/llm-streaming.md) · [LlmModelContext](../core-data-structures/core.md) · [LlmModelInfo](../core-data-structures/core.md) · [LlmProviderInfo](../core-data-structures/core.md) · [StreamChunk](../core-data-structures/llm-streaming.md)
+Types: [GenerateOptions](../core-data-structures/core.md) · [LlmAdapter](../core-data-structures/llm-streaming.md) · [LlmCallConfig](../core-data-structures/core.md) · [LlmModelInfo](../core-data-structures/core.md) · [LlmProviderInfo](../core-data-structures/core.md) · [LlmResolvedModelInfo](../core-data-structures/core.md) · [PreparedLlmCall](../core-data-structures/llm-streaming.md) · [StreamChunk](../core-data-structures/llm-streaming.md)

-Source: [`packages/llm/llm/src/index.ts:159`](../../packages/llm/llm/src/index.ts)
+Source: [`packages/llm/llm/src/index.ts:177`](../../packages/llm/llm/src/index.ts)

 ## `ctx.permission` — `PermissionService`

@@ -1342,7 +1366,7 @@ fork(source: SessionForkSource, boundary?: number, childSessionId?: SessionId):

 Types: [CreateSessionOptions](../core-data-structures/persistence.md) · [OutOfBandSessionEventType](../core-data-structures/session.md) · [Session](../core-data-structures/session.md) · [SessionEvent](../core-data-structures/core.md) · [SessionEventMap](../core-data-structures/session.md) · [SessionId](../core-data-structures/core.md) · [TurnTrigger](../core-data-structures/session.md)

-Source: [`packages/core/session/src/index.ts:606`](../../packages/core/session/src/index.ts)
+Source: [`packages/core/session/src/index.ts:611`](../../packages/core/session/src/index.ts)

 ## `ctx.sessionTitle` — `SessionTitleService`

@@ -1878,7 +1902,7 @@ The concrete provider retains pi-tui, focus, and terminal lifecycle state. Plugi
 abstract openOverlay(request: TuiOverlayRequest): TuiOverlaySession
 ```

-Source: [`packages/ui/tui/src/index.ts:150`](../../packages/ui/tui/src/index.ts)
+Source: [`packages/ui/tui/src/index.ts:153`](../../packages/ui/tui/src/index.ts)

 ## `ctx.userInteraction` — `UserInteractionService`

@@ -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
-core.md: 781267cccdb5bbda33e5be6a9e807fdbe47dbc83
-core.zh.md: d0f67983b98b0cf679a8e599a5f8ab3c64490dd0
+core.md: 86aea325f5401d728a9b4aa147d78db9163a32c1
+core.zh.md: d09fb48419c14959eefb5a1df1c593b36c188cf5
@@ -199,7 +199,7 @@ interface LlmModelInfo {
 }
 ```

-Correctness-sensitive model capacity is queried separately from the advisory catalog and is owned by the adapter serving the exact route.
+Correctness-sensitive metadata is resolved separately from the advisory catalog and is owned by the adapter serving the exact route. Context capacity and reasoning choices share one exact-model result so consumers do not repeat authoritative model resolution.

 ```ts type-equiv
 /** Provider-owned context capacity for one exact provider/model route. */
@@ -209,12 +209,56 @@ interface LlmModelContext {
 }
 ```

+Reasoning effort is another exact-route capability. The core brands identifiers but does not enumerate their values; each adapter owns the ordered set, display names, and optional deployment default.
+
+```ts type-equiv
+/** Adapter-owned identifier for one model's selectable reasoning effort. */
+type ReasoningEffortId = Branded<'ReasoningEffortId'>
+```
+
+```ts type-equiv
+/** Display metadata for one adapter-owned reasoning effort. */
+interface LlmReasoningEffortInfo {
+  /** Opaque stable value accepted by {@link GenerateOptions.reasoningEffort}. */
+  id: ReasoningEffortId
+  /** Human-readable effort name for selectors and diagnostics. */
+  name: string
+  /** Optional user-facing distinction from otherwise similar efforts. */
+  description?: string
+}
+```
+
+```ts type-equiv
+/** Selectable reasoning efforts for one exact provider/model route. */
+interface LlmModelReasoningInfo {
+  /** Supported efforts in adapter-preferred display order. */
+  efforts: readonly LlmReasoningEffortInfo[]
+  /**
+   * Adapter-configured default materialized into requests when callers omit
+   * an effort. Absence preserves the provider's own default.
+   */
+  defaultEffort?: ReasoningEffortId
+}
+```
+
+```ts type-equiv
+/** Exact-route model metadata resolved by its owning adapter. */
+interface LlmResolvedModelInfo extends LlmModelInfo {
+  /** Provider-owned context capacity when known. */
+  context?: LlmModelContext
+  /** Adapter-owned selectable reasoning levels when exposed. */
+  reasoning?: LlmModelReasoningInfo
+}
+```
+
 ```ts type-equiv
 /** A single model request, fully assembled. */
 interface GenerateOptions {
  /** Registered provider route selecting the adapter instance. */
  provider: string
  model: string
+  /** Adapter-owned reasoning effort selected for this exact model. */
+  reasoningEffort?: ReasoningEffortId
  /**
   * Ordered conversation messages, exactly as the provider sees them (after
   * the `system` slot). A loop-built request assembles them as
@@ -291,21 +335,23 @@ The model-facing `ToolSchema` is the wire shape; the registered `ToolDefinition`

 The loop builds each request from logged state. `EpochHeader` records call config, rendered prompt, authoritative returned tool order (configured by `toolOrder`, or lexicographic when unset), and session prefix through full `request/header` snapshots. Together with derived history, this makes the request reconstructable from the session log. See [session.md](session.md#the-request-header-event-requestheader) and the [reconstructability Agent Note](../../.agents/notes/implemented/architecture/2026-07-05-reconstructable-requests.md).

-`agent/request` receives a frozen call-config seed and may return a replacement to switch provider, model, or sampling. `agent/session-prefix` composes request-only prefix messages once per loop instance, and the header records the exact result used. Requests reaching `llm/stream` are deep-frozen, so mutation throws, and carry a process-local loop identity so observers do not confuse separately logged frozen auxiliary calls with conversation requests.
+`agent/request` receives a frozen call-config seed and may return a replacement to switch provider, model, reasoning effort, or sampling. After the waterfall, the loop prepares the exact model capability under the turn signal, rejects unsupported explicit effort ids without clamping, materializes an adapter-configured default, and logs the effective value. The prepared call keeps one adapter registration through dispatch. `agent/session-prefix` composes request-only prefix messages once per loop instance, and the header records the exact result used. Requests reaching `llm/stream` are deep-frozen, so mutation throws, and carry a process-local loop identity so observers do not confuse separately logged frozen auxiliary calls with conversation requests.

 On the wire, a loop-built request reads in this order: the `system` slot (the rendered prompt assembly) → `messagePrefix` (the frozen session prefix) → the derived history — the boundary snapshot, whose tail is the newest `user/message` on a turn's first step and the previous step's tool results on later steps. The prefix never enters the derived history; its durable record is the header events, and the dev invariant recomputes exactly this equation against every loop-built request.

-FIXME(call-config-shape): revisit the exact definition of this type — which fields are genuinely epoch-level for cache purposes (`model` certainly; the sampling scalars sit here out of caution), and where provider-specific extras (reasoning options, extra body params) belong when an adapter needs them.
+FIXME(call-config-shape): revisit which remaining fields are genuinely epoch-level for cache purposes (`model` and the model-owned reasoning effort are explicit; the sampling scalars sit here out of caution).

 ```ts type-equiv
 /**
- * Provider + model + sampling scalars of one conversation's requests. Every field maps
- * 1:1 onto the same-named `GenerateOptions` field; the loop builds requests
- * from the logged header rather than accepting these per call.
+ * Provider, model, reasoning effort, and sampling scalars of one conversation's
+ * requests. Every field maps 1:1 onto the same-named `GenerateOptions` field;
+ * the loop builds requests from the logged header rather than accepting these
+ * per call.
 */
 interface LlmCallConfig {
  provider: string
  model: string
+  reasoningEffort?: ReasoningEffortId
  temperature?: number
  maxTokens?: number
  stop?: string[]
@@ -205,7 +205,7 @@ interface LlmModelInfo {
 }
 ```

-对正确性敏感的模型容量与参考目录分开查询，并归服务该确切路由的适配器所有。
+对正确性敏感的元数据与参考目录分开解析，并归服务该确切路由的适配器所有。上下文容量和推理选项共用同一个确切模型结果，消费方因而无需重复执行权威模型解析。

 ```ts type-equiv
 /** Provider-owned context capacity for one exact provider/model route. */
@@ -215,12 +215,56 @@ interface LlmModelContext {
 }
 ```

+推理强度是另一项针对确切路由的能力。核心为标识符添加品牌类型，但不枚举其值；有序集合、展示名称和可选的部署默认值均由各适配器持有。
+
+```ts type-equiv
+/** Adapter-owned identifier for one model's selectable reasoning effort. */
+type ReasoningEffortId = Branded<'ReasoningEffortId'>
+```
+
+```ts type-equiv
+/** Display metadata for one adapter-owned reasoning effort. */
+interface LlmReasoningEffortInfo {
+  /** Opaque stable value accepted by {@link GenerateOptions.reasoningEffort}. */
+  id: ReasoningEffortId
+  /** Human-readable effort name for selectors and diagnostics. */
+  name: string
+  /** Optional user-facing distinction from otherwise similar efforts. */
+  description?: string
+}
+```
+
+```ts type-equiv
+/** Selectable reasoning efforts for one exact provider/model route. */
+interface LlmModelReasoningInfo {
+  /** Supported efforts in adapter-preferred display order. */
+  efforts: readonly LlmReasoningEffortInfo[]
+  /**
+   * Adapter-configured default materialized into requests when callers omit
+   * an effort. Absence preserves the provider's own default.
+   */
+  defaultEffort?: ReasoningEffortId
+}
+```
+
+```ts type-equiv
+/** Exact-route model metadata resolved by its owning adapter. */
+interface LlmResolvedModelInfo extends LlmModelInfo {
+  /** Provider-owned context capacity when known. */
+  context?: LlmModelContext
+  /** Adapter-owned selectable reasoning levels when exposed. */
+  reasoning?: LlmModelReasoningInfo
+}
+```
+
 ```ts type-equiv
 /** A single model request, fully assembled. */
 interface GenerateOptions {
  /** Registered provider route selecting the adapter instance. */
  provider: string
  model: string
+  /** Adapter-owned reasoning effort selected for this exact model. */
+  reasoningEffort?: ReasoningEffortId
  /**
   * Ordered conversation messages, exactly as the provider sees them (after
   * the `system` slot). A loop-built request assembles them as
@@ -297,21 +341,23 @@ interface ToolSchema {

 循环从已记录状态构建每个请求。`EpochHeader` 通过完整的 `request/header` 快照记录调用配置、渲染后的提示词、权威返回工具顺序（由 `toolOrder` 配置；未配置时按字典序）以及会话前缀。结合派生历史，请求便可由会话日志重建。见 [session.md](session.md#the-request-header-event-requestheader) 与[可重建性 Agent Note（agent 决策记录）](../../.agents/notes/implemented/architecture/2026-07-05-reconstructable-requests.md)。

-`agent/request` 接收冻结的调用配置种子，并可返回替代值以切换提供方、模型或采样参数。`agent/session-prefix` 为每个循环实例组合一次仅用于请求的 prefix 消息，header 记录实际使用的确切结果。到达 `llm/stream` 的请求会被深度冻结，因此变更会抛异常；请求还携带进程本地循环标识，使观察者不会把单独记录的冻结辅助调用误认成对话请求。
+`agent/request` 接收冻结的调用配置种子，并可返回替代值以切换提供方、模型、推理强度或采样参数。waterfall 结束后，循环会在轮次信号控制下完成确切模型的能力准备，拒绝显式指定但不受支持的推理强度 ID（不自动调整），填入适配器配置的默认值，并记录最终生效值。准备完成的调用直至分派完成始终持有同一项适配器注册。`agent/session-prefix` 为每个循环实例组合一次仅用于请求的 prefix 消息，header 记录实际使用的确切结果。到达 `llm/stream` 的请求会被深度冻结，因此变更会抛异常；请求还携带进程本地循环标识，使观察者不会把单独记录的冻结辅助调用误认成对话请求。

 在协议格式上，循环构建的请求按此顺序读取：`system` 槽位（渲染后的提示词组装）→ `messagePrefix`（冻结的会话前缀）→ 派生历史——边界快照，其尾部在轮次首步是最新的 `user/message`，在后续步骤是上一步的工具结果。前缀从不进入派生历史；它的持久记录是 header 事件，开发不变式针对每个循环构建的请求精确重算此等式。

-FIXME(call-config-shape)：重新审视此类型的精确定义——出于缓存目的，哪些字段确实属于 epoch 层级（`model` 肯定属于；采样标量目前出于谨慎放在这里），以及适配器需要时，提供方特有的额外项（推理选项、额外 body 参数）应归属何处。
+FIXME(call-config-shape)：重新审视其余哪些字段出于缓存目的确实属于 epoch 层级（`model` 和模型持有的推理强度已明确属于；采样标量目前出于谨慎保留在此）。

 ```ts type-equiv
 /**
- * Provider + model + sampling scalars of one conversation's requests. Every field maps
- * 1:1 onto the same-named `GenerateOptions` field; the loop builds requests
- * from the logged header rather than accepting these per call.
+ * Provider, model, reasoning effort, and sampling scalars of one conversation's
+ * requests. Every field maps 1:1 onto the same-named `GenerateOptions` field;
+ * the loop builds requests from the logged header rather than accepting these
+ * per call.
 */
 interface LlmCallConfig {
  provider: string
  model: string
+  reasoningEffort?: ReasoningEffortId
  temperature?: number
  maxTokens?: number
  stop?: string[]
@@ -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
-llm-streaming.md: fb97e74a9ec01e62ba940295112fb157cc73bd1d
-llm-streaming.zh.md: fda59a64aeef1c037372d69dbc15ee0de48de222
+llm-streaming.md: ffe520eca12af0fa2d483b9f231c943107d74649
+llm-streaming.zh.md: d4d41040ceaa7e2b2ca08c47ae83fefbaba3f7d4
@@ -157,7 +157,23 @@ declare class BlockAssembler {

 ## The seam

-`LlmAdapter` is the provider seam: subclass, implement `stream()`, and register one adapter instance with `ctx.llm.registerAdapter(providers, adapter)`. `GenerateOptions.provider` selects the registered adapter; `GenerateOptions.model` is passed to that adapter and need not be registered at lifecycle start. Duplicate provider routes fail atomically. Optional `providerInfo()` and asynchronous `listModels()` methods feed `LlmService.listProviders()` / `listModels()` with detached selector metadata. That catalog is advisory rather than a request whitelist: the adapter remains authoritative and may accept unlisted model ids. The separate `resolveModelContext()` query exposes correctness-sensitive capacity for an exact route without making catalog membership authoritative; absence means unknown metadata, not invalid routing. Adapter lookup happens at the terminal continuation of the `llm/stream` waterfall, so a listener may short-circuit the call or route a mutable one-shot request before lookup. The `block-start` / `block-end` `index` correlation and the assembler together mean an adapter only has to emit well-formed chunks — block reassembly is not each adapter's problem. The consumer surface (`ctx.llm.stream()`) and the `llm/stream` waterfall are described in [architecture.md § Content blocks and streaming](../architecture.md#content-blocks-and-streaming-dsh-llm).
+`LlmAdapter` is the provider seam: subclass, implement `stream()`, and register one adapter instance with `ctx.llm.registerAdapter(providers, adapter)`. `GenerateOptions.provider` selects the registered adapter; `GenerateOptions.model` is passed to that adapter and need not be registered at lifecycle start. Duplicate provider routes fail atomically. Optional `providerInfo()` and asynchronous `listModels()` methods feed `LlmService.listProviders()` / `listModels()` with detached selector metadata. That catalog is advisory rather than a request whitelist: the adapter remains authoritative and may accept unlisted model ids. One asynchronous `resolveModel()` query returns exact model identity plus optional correctness-sensitive context capacity and ordered model-owned reasoning ids with an optional deployment default; absent fields mean unavailable metadata or capability, not invalid catalog membership. The resolver receives optional cancellation and must settle promptly after abort. `LlmService.resolveModelInfo()` validates and detaches the aggregate. The service validates and materializes reasoning through `resolveCallConfig()` at the final adapter boundary, so direct calls cannot bypass unsupported-effort rejection; direct dispatch captures one registration before awaiting that resolution. The agent loop instead uses `prepareCall()` to keep the same registration across model resolution, durable header logging, and dispatch. Adapter lookup happens at the terminal continuation of the `llm/stream` waterfall, so a listener may short-circuit the call or route a mutable one-shot request before lookup. The `block-start` / `block-end` `index` correlation and the assembler together mean an adapter only has to emit well-formed chunks — block reassembly is not each adapter's problem. The consumer surface (`ctx.llm.stream()`) and the `llm/stream` waterfall are described in [architecture.md § Content blocks and streaming](../architecture.md#content-blocks-and-streaming-dsh-llm).
+
+```ts type-equiv
+/** One model call whose config and adapter registration were resolved together. */
+interface PreparedLlmCall {
+  /** Detached, deep-frozen config with any adapter-owned default materialized. */
+  readonly config: LlmCallConfig
+  /**
+   * Dispatch this call once through the registration captured during
+   * preparation. The request's call-config fields must match {@link config};
+   * reuse or mismatch fails with `INVALID_PREPARED_CALL`.
+   * @param options - fully assembled request carrying the prepared config.
+   * @returns the chunk stream, including the `llm/stream` waterfall.
+   */
+  stream(options: GenerateOptions): AsyncIterable<StreamChunk>
+}
+```

 ```ts public-api
 /**
@@ -182,16 +198,19 @@ declare abstract class LlmAdapter {
   */
  listModels(_provider: string): Promise<readonly LlmModelInfo[]>;
  /**
-   * Resolve context capacity for one model accepted by this adapter. Absence
-   * means the adapter does not know the capacity, not that routing is invalid.
-   * @param _provider - one provider route owned by this adapter.
-   * @param _model - exact model id passed to {@link GenerateOptions.model}.
-   * @returns provider-owned context metadata, or `undefined` when unavailable.
+   * Resolve all metadata available for one exact model. This query is
+   * independent of the advisory catalog and does not validate request routing.
+   * @param provider - one provider route owned by this adapter.
+   * @param model - exact model id passed to {@link GenerateOptions.model}.
+   * @param _signal - cancellation for this exact-model lookup; asynchronous
+   *   implementations must settle promptly after it aborts.
+   * @returns provider/model identity plus any context and reasoning metadata.
   */
-  resolveModelContext(
-    _provider: string,
-    _model: string,
-  ): Promise<LlmModelContext | undefined>;
+  resolveModel(
+    provider: string,
+    model: string,
+    _signal?: AbortSignal,
+  ): Promise<LlmResolvedModelInfo>;
  /**
   * Stream one model call as raw chunks. The only required method.
   * @param options - the fully-assembled request; implementations must honor `options.signal`.
@@ -157,7 +157,23 @@ declare class BlockAssembler {

 ## seam

-`LlmAdapter` 是提供方 seam：创建子类、实现 `stream()`，再用 `ctx.llm.registerAdapter(providers, adapter)` 注册一个适配器实例。`GenerateOptions.provider` 选择已注册适配器；`GenerateOptions.model` 会传给该适配器，无需在生命周期启动时注册。重复提供方路由会原子失败。可选的 `providerInfo()` 与异步 `listModels()` 方法为 `LlmService.listProviders()` / `listModels()` 提供分离的 selector 元数据。该目录仅供参考，不是请求白名单：适配器仍是权威，并可接受未列出的模型 id。单独的 `resolveModelContext()` 查询会暴露确切路由上对正确性敏感的容量信息，但不会让目录成员关系具有权威性；缺失表示元数据未知，而不是路由无效。适配器查找发生在 `llm/stream` waterfall（瀑布式事件）的终端 continuation，因此 listener 可以在查找前短路调用，或路由一个可变的一次性请求。`block-start` / `block-end` 的 `index` 关联与 assembler 共同意味着适配器只需 emit 格式正确的分片——块重组不是每个适配器各自的问题。消费方 surface（`ctx.llm.stream()`）与 `llm/stream` waterfall 见 [architecture.md § 内容块与流式传输](../architecture.md#content-blocks-and-streaming-dsh-llm)。
+`LlmAdapter` 是提供方 seam：创建子类、实现 `stream()`，再用 `ctx.llm.registerAdapter(providers, adapter)` 注册一个适配器实例。`GenerateOptions.provider` 选择已注册适配器；`GenerateOptions.model` 会传给该适配器，无需在生命周期启动时注册。重复提供方路由会原子失败。可选的 `providerInfo()` 与异步 `listModels()` 方法为 `LlmService.listProviders()` / `listModels()` 提供分离的 selector 元数据。该目录仅供参考，不是请求白名单：适配器仍是权威，并可接受未列出的模型 id。单次异步 `resolveModel()` 查询返回确切模型身份，以及可选的对正确性敏感的上下文容量、由模型持有的有序推理强度 ID 和部署默认值；字段缺失表示元数据或能力不可用，而不表示目录成员关系无效。解析器会接收可选的取消信号，并且必须在信号中止后迅速完成结算。`LlmService.resolveModelInfo()` 会校验聚合结果并返回分离值。服务通过最终适配器边界的 `resolveCallConfig()` 校验推理强度并填入默认值，因此直接调用也无法绕过对不支持推理强度的拒绝；直接分派会在等待解析前捕获一项适配器注册。agent loop 则使用 `prepareCall()`，使模型解析、请求头持久记录和分派全程使用同一项注册。适配器查找发生在 `llm/stream` waterfall（瀑布式事件）的终端 continuation，因此 listener 可以在查找前短路调用，或路由一个可变的一次性请求。`block-start` / `block-end` 的 `index` 关联与 assembler 共同意味着适配器只需 emit 格式正确的分片——块重组不是每个适配器各自的问题。消费方 surface（`ctx.llm.stream()`）与 `llm/stream` waterfall 见 [architecture.md § 内容块与流式传输](../architecture.md#content-blocks-and-streaming-dsh-llm)。
+
+```ts type-equiv
+/** One model call whose config and adapter registration were resolved together. */
+interface PreparedLlmCall {
+  /** Detached, deep-frozen config with any adapter-owned default materialized. */
+  readonly config: LlmCallConfig
+  /**
+   * Dispatch this call once through the registration captured during
+   * preparation. The request's call-config fields must match {@link config};
+   * reuse or mismatch fails with `INVALID_PREPARED_CALL`.
+   * @param options - fully assembled request carrying the prepared config.
+   * @returns the chunk stream, including the `llm/stream` waterfall.
+   */
+  stream(options: GenerateOptions): AsyncIterable<StreamChunk>
+}
+```

 ```ts public-api
 /**
@@ -182,16 +198,19 @@ declare abstract class LlmAdapter {
   */
  listModels(_provider: string): Promise<readonly LlmModelInfo[]>;
  /**
-   * Resolve context capacity for one model accepted by this adapter. Absence
-   * means the adapter does not know the capacity, not that routing is invalid.
-   * @param _provider - one provider route owned by this adapter.
-   * @param _model - exact model id passed to {@link GenerateOptions.model}.
-   * @returns provider-owned context metadata, or `undefined` when unavailable.
+   * Resolve all metadata available for one exact model. This query is
+   * independent of the advisory catalog and does not validate request routing.
+   * @param provider - one provider route owned by this adapter.
+   * @param model - exact model id passed to {@link GenerateOptions.model}.
+   * @param _signal - cancellation for this exact-model lookup; asynchronous
+   *   implementations must settle promptly after it aborts.
+   * @returns provider/model identity plus any context and reasoning metadata.
   */
-  resolveModelContext(
-    _provider: string,
-    _model: string,
-  ): Promise<LlmModelContext | undefined>;
+  resolveModel(
+    provider: string,
+    model: string,
+    _signal?: AbortSignal,
+  ): Promise<LlmResolvedModelInfo>;
  /**
   * Stream one model call as raw chunks. The only required method.
   * @param options - the fully-assembled request; implementations must honor `options.signal`.
@@ -1,6 +1,6 @@
 # Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
 # side as of the last confirmed-consistent state. Both languages carry equal authority;
 # after editing either side, bring the other along and re-record with:
-#   pnpm run verify-translation-pairing --write
-session.md: 2cbbac8042d04522fea0b1ed7a66c503e4b63f4e
-session.zh.md: e932c8f99f684f1b8985b006ab4ddb145db966bd
+#   pnpm run verify-translation-pairing --write docs/core-data-structures/session.md
+session.md: 59bcf027c3ec728c5583478c7d17bd6eef2dc2fa
+session.zh.md: 01b6f080b5fcf7b83ca46b99a8d80113a6ebe8bf
@@ -175,7 +175,7 @@ The request envelope — the `EpochHeader` (call config + rendered system prompt
 * canonical empty optional fields are absent.
 */
 interface EpochHeader {
-  /** The conversation's call configuration (provider, model, and sampling scalars). */
+  /** The conversation's call configuration (provider, model, reasoning effort, and sampling scalars). */
  config: LlmCallConfig
  /** Rendered system prompt text; absent for a system-less request. */
  system?: string
@@ -177,7 +177,7 @@ interface TodoItem {
 * canonical empty optional fields are absent.
 */
 interface EpochHeader {
-  /** The conversation's call configuration (provider, model, and sampling scalars). */
+  /** The conversation's call configuration (provider, model, reasoning effort, and sampling scalars). */
  config: LlmCallConfig
  /** Rendered system prompt text; absent for a system-less request. */
  system?: string
@@ -33,7 +33,7 @@ This matrix shows which packages dispatch each harness-owned event and which pac
 | `fs/observed` | `emit` | [`packages/fs/fs/src/index.ts:71`](../packages/fs/fs/src/index.ts) | [`tool-fs`](../packages/fs/tool-fs) (`emit`) | [`fs-policy`](../packages/fs/fs-policy) |
 | `fs/write-intent` | `waterfall` | [`packages/fs/fs/src/index.ts:54`](../packages/fs/fs/src/index.ts) | [`tool-fs`](../packages/fs/tool-fs) (`waterfall`) | [`fs-policy`](../packages/fs/fs-policy) |
 | `goal/changed` | `emit` | [`packages/goal/goal/src/types.ts:167`](../packages/goal/goal/src/types.ts) | [`goal`](../packages/goal/goal) (`emit`) | [`goal-session`](../packages/goal/goal-session) |
-| `llm/stream` | `waterfall` | [`packages/llm/llm/src/index.ts:52`](../packages/llm/llm/src/index.ts) | [`llm`](../packages/llm/llm) (`waterfall`) | [`agent-loop`](../packages/core/agent-loop), [`llm`](../packages/llm/llm), [`llm-replay`](../packages/support/llm-replay), [`session-checkpoint-policy`](../packages/session-persistence/session-checkpoint-policy), [`session-title`](../packages/session-title/session-title) |
+| `llm/stream` | `waterfall` | [`packages/llm/llm/src/index.ts:53`](../packages/llm/llm/src/index.ts) | [`llm`](../packages/llm/llm) (`waterfall`) | [`agent-loop`](../packages/core/agent-loop), [`llm`](../packages/llm/llm), [`llm-replay`](../packages/support/llm-replay), [`session-checkpoint-policy`](../packages/session-persistence/session-checkpoint-policy), [`session-title`](../packages/session-title/session-title) |
 | `session/created` | `emit` | [`packages/core/session/src/index.ts:79`](../packages/core/session/src/index.ts) | [`session`](../packages/core/session) (`events.dispatch`) | `apiproxy`, [`compact`](../packages/compact/compact), [`goal`](../packages/goal/goal), [`hook-protocol`](../packages/hooks/hook-protocol), [`jsonrpc`](../packages/ui/jsonrpc), [`llm-retry`](../packages/llm/llm-retry), [`session`](../packages/core/session), [`session-persistence`](../packages/session-persistence/session-persistence), [`user-approval`](../packages/ui/user-approval) |
 | `session/disposed` | `emit` | [`packages/core/session/src/index.ts:89`](../packages/core/session/src/index.ts) | [`session`](../packages/core/session) (`events.dispatch`) | [`agent-loop`](../packages/core/agent-loop), `apiproxy`, [`session-persistence`](../packages/session-persistence/session-persistence), [`session-title`](../packages/session-title/session-title) |
 | `session/event` | `emit` | [`packages/core/session/src/index.ts:101`](../packages/core/session/src/index.ts) | [`session`](../packages/core/session) (`events.dispatch`) | [`acp`](../packages/acp/acp), `apiproxy`, [`cli-demo`](../packages/examples/cli-demo), [`compact`](../packages/compact/compact), [`goal`](../packages/goal/goal), [`goal-session`](../packages/goal/goal-session), [`hook-protocol`](../packages/hooks/hook-protocol), [`jsonrpc`](../packages/ui/jsonrpc), [`session`](../packages/core/session), [`session-persistence`](../packages/session-persistence/session-persistence), [`session-title`](../packages/session-title/session-title), [`token-meter`](../packages/llm/token-meter), [`tui`](../packages/ui/tui), [`user-approval`](../packages/ui/user-approval), [`workspace-context`](../packages/context/workspace-context) |
@@ -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
-llm-adapter.md: 3e83289b8072ef231f83c0fa3cfe3260547b42fa
-llm-adapter.zh.md: 92fcf9b22f4bb356ada4c46f9a03ef0cc2d159da
+llm-adapter.md: 3bf005647d3e7908f1d1553374266c1d6c12c2e6
+llm-adapter.zh.md: b967d112ed6879b11486ab7aedf64653089d93de
@@ -110,7 +110,9 @@ async function* exampleChunks(): AsyncIterable<StreamChunk> {

 ## GenerateOptions

-`stream()` receives the exported `GenerateOptions` type. It includes the model, conversation history, system prompt, tool schemas, generation parameters, stop sequences, and abort signal; treat the TypeScript type exported by `@deepseek-ai/dsh-llm` as authoritative. Map supported fields to the provider API. If the provider cannot honor a field, throw `LlmError` with a stable code instead of silently dropping it.
+`stream()` receives the exported `GenerateOptions` type. It includes the model, adapter-owned reasoning-effort id, conversation history, system prompt, tool schemas, generation parameters, stop sequences, and abort signal; treat the TypeScript type exported by `@deepseek-ai/dsh-llm` as authoritative. Map supported fields to the provider API. If the provider cannot honor a field, throw `LlmError` with a stable code instead of silently dropping it.
+
+Override `resolveModel(provider, model, signal?)` to return exact provider/model identity plus optional `context` and `reasoning` metadata in one lookup. Reasoning metadata contains ordered opaque ids and display names plus an optional configured default; preserve the adapter's authoritative selectable list, including `off` when its upstream capability API returns it, instead of promoting those values into a core enum. Honor the optional signal for asynchronous lookup so cancellation and disposal reach quiescence. The service validates the aggregate and rejects unsupported explicit efforts before `stream()`; omitting `reasoning` means that model has no selectable reasoning-effort capability.

 ## Register an adapter

@@ -110,7 +110,9 @@ async function* exampleChunks(): AsyncIterable<StreamChunk> {

 ## GenerateOptions

-`stream()` 接收仓库导出的 `GenerateOptions`。它包含模型名、对话历史、系统提示词、tool schema、生成参数、停止序列和中止信号；完整字段以 `@deepseek-ai/dsh-llm` 导出的 TypeScript 类型为准。适配器必须将支持的字段映射到具体 API；无法支持的字段应抛出带稳定 code 的 `LlmError`，不能静默丢弃。
+`stream()` 接收仓库导出的 `GenerateOptions`。它包含模型名、由适配器持有的推理强度 ID、对话历史、系统提示词、tool schema、生成参数、停止序列和中止信号；完整字段以 `@deepseek-ai/dsh-llm` 导出的 TypeScript 类型为准。适配器必须将支持的字段映射到具体 API；无法支持的字段应抛出带稳定 code 的 `LlmError`，不能静默丢弃。
+
+请覆写 `resolveModel(provider, model, signal?)`，在一次查询中返回确切的提供方/模型身份以及可选的 `context` 和 `reasoning` 元数据。推理元数据包含有序的不透明 ID、展示名称，以及可选的配置默认值；请保留适配器给出的权威可选列表，包括其上游能力 API 返回的 `off`，而不要将这些值提升为核心枚举。异步查询必须响应这个可选信号，让取消和资源释放都能达到完全停稳。服务会校验聚合结果，并在调用 `stream()` 前拒绝显式指定但不受支持的推理强度；省略 `reasoning` 表示该模型没有可选的推理强度能力。

 ## 注册适配器

@@ -1,8 +1,33 @@
 import type { Context } from 'cordis'
-import { CallId, LlmAdapter, type GenerateOptions, type StreamChunk } from '@deepseek-ai/dsh-llm'
+import {
+  CallId,
+  LlmAdapter,
+  ReasoningEffortId,
+  type GenerateOptions,
+  type LlmResolvedModelInfo,
+  type StreamChunk,
+} from '@deepseek-ai/dsh-llm'
+
+const HIGH = ReasoningEffortId('high')
+const OFF = ReasoningEffortId('off')

 /** Keyless headless-agent adapter: one real bash call followed by a final answer. */
 class CliMockAdapter extends LlmAdapter {
+  override async resolveModel(provider: string, model: string): Promise<LlmResolvedModelInfo> {
+    return {
+      provider,
+      id: model,
+      name: model,
+      reasoning: {
+        efforts: [
+          { id: OFF, name: 'Off' },
+          { id: HIGH, name: 'High' },
+        ],
+        defaultEffort: HIGH,
+      },
+    }
+  }
+
  async * stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
    const toolResult = options.messages.at(-1)?.content.find(block => block.type === 'tool-result')
    if (toolResult === undefined) {
@@ -34,4 +59,8 @@ export const inject = ['llm']
 /** Register the keyless `cli-mock` adapter. */
 export function apply(ctx: Context): void {
  ctx.llm.registerAdapter(['cli-mock'], new CliMockAdapter())
+  ctx.on('agent/request', async (_agent, _turn, step, _config, _signal, next) => {
+    const config = await next()
+    return step === 2 ? { ...config, reasoningEffort: OFF } : config
+  })
 }
@@ -28,6 +28,7 @@ const ralphScenarioDir = join(snapshotsDir, 'ralph-loop')
 const ralphConfigPath = fileURLToPath(new URL('../ralph.cordis.snapshot.yml', import.meta.url))
 const binScript = fileURLToPath(new URL('../../../packages/examples/cli-demo/src/bin.ts', import.meta.url))
 const tsconfigPath = fileURLToPath(new URL('../../../tsconfig.json', import.meta.url))
+const reasoningConfigPath = fileURLToPath(new URL('./fixtures/cli.cordis.yml', import.meta.url))
 const refreshing = process.env.DSH_SNAPSHOT === 'refresh'

 interface JsonObject {
@@ -124,6 +125,46 @@ async function persistedLogs(cwd: string): Promise<PersistedLog[]> {
 }

 describe('headless stream-json snapshots', () => {
+  it('logs the model default and a dynamic next-step reasoning effort', async () => {
+    const result = await runLoaderSmoke({
+      label: 'reasoning effort headless stream-json snapshot',
+      tempDirPrefix: 'headless-snapshot-reasoning-effort-',
+      binScript,
+      configPath: reasoningConfigPath,
+      binArgs: ['--config', reasoningConfigPath, '--output-format', 'stream-json', 'prove dynamic reasoning effort'],
+      tsconfigPath,
+    })
+
+    expect(result.stderr).toBe('')
+    const headers = parseJsonl(result.stdout)
+      .map(record => record.event)
+      .filter((event): event is JsonObject => (
+        event !== null
+        && typeof event === 'object'
+        && !Array.isArray(event)
+        && 'type' in event
+        && event.type === 'request/header'
+      ))
+      .map((event) => {
+        const data = event.data as JsonObject
+        return (data.header as JsonObject).config
+      })
+    expect(headers).toMatchInlineSnapshot(`
+      [
+        {
+          "model": "cli-mock",
+          "provider": "cli-mock",
+          "reasoningEffort": "high",
+        },
+        {
+          "model": "cli-mock",
+          "provider": "cli-mock",
+          "reasoningEffort": "off",
+        },
+      ]
+    `)
+  }, LOADER_SMOKE_TEST_TIMEOUT_MS)
+
  it('replays the advanced toolchain through the one-shot app', async () => {
    const prompt = await scenarioPrompt(advancedScenarioDir, 'advanced-toolchain')
    const fixtureFiles = [
@@ -1,6 +1,6 @@
 # Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
 # side as of the last confirmed-consistent state. Both languages carry equal authority;
 # after editing either side, bring the other along and re-record with:
-#   pnpm run verify-translation-pairing --write
-README.md: fdf3972f98f8ff9690b71469ae415dc18d339f10
-README.zh.md: 71f7ae949d034757a20adfae2cbe566011edc584
+#   pnpm run verify-translation-pairing --write examples/tui-agent/README.md
+README.md: ea8695d37ea247a38644392a4572c1ea9855fd44
+README.zh.md: b3f6dc18536b159379eac7433367ccf2cd8fcc53
@@ -19,7 +19,7 @@ Type a coding task. The agent works through the `read`/`write`/`edit` filesystem

 The `todo_write` task tracker is opt-in and not in the shipped config: add `@deepseek-ai/dsh-tool-todo` to `cordis.yml` (or a personal-config overlay under `~/.dsh`) to expose it. Once loaded, the model records a whole-list plan to the session log and the TUI renders it.

-The TUI renders Markdown history, reasoning, tool-owned terminal/diff/generic cards, token totals, and — when `todo_write` is loaded — the latest plan. Long tool bodies keep a head/tail preview; Ctrl+O expands or collapses every card. Enter submits or steers while the agent runs, Ctrl+R toggles reasoning, Escape cancels, and `/help` lists commands. `/plan` selects plan mode for the next step; `/plan <message>` also submits the message into that step, while `/plan off` selects the default mode without model input. `/status` expands the current session's identity, activity counts, exact token/cache buckets, context use, and timestamps without interrupting a running turn. `/model` opens a keyboard selector for the current provider catalog; use Up/Down and Enter, or `/model <model>` and `/model <provider>/<model>` for direct selection. `ask_user_question` opens a wide bottom-left keyboard panel with batch progress and numbered options.
+The TUI renders Markdown history, reasoning, tool-owned terminal/diff/generic cards, token totals, and — when `todo_write` is loaded — the latest plan. Long tool bodies keep a head/tail preview; Ctrl+O expands or collapses every card. Enter submits or steers while the agent runs, Ctrl+R toggles reasoning, Escape cancels, and `/help` lists commands. `/plan` selects plan mode for the next step; `/plan <message>` also submits the message into that step, while `/plan off` selects the default mode without model input. `/status` expands the current session's identity, activity counts, exact token/cache buckets, context use, and timestamps without interrupting a running turn. `/model` opens a keyboard selector for the current provider catalog; use Up/Down to focus a model, Shift+Tab to cycle its advertised reasoning efforts, and Enter to select, or use `/model <model>` and `/model <provider>/<model>` for direct selection. `ask_user_question` opens a wide bottom-left keyboard panel with batch progress and numbered options.

 ### Resuming a prior session

@@ -53,7 +53,7 @@ This example is a thin leaf `cordis.yml`: it picks the swappable backends, loads
 | Entry | Demonstrates |
 |---|---|
 | `hmr` (`@cordisjs/plugin-hmr`) | the dev/demo edit-reload loop — a **leaf** entry (not baked into the app) because it depends on the Loader's internal module access |
-| `llm-deepseek` | real `LlmAdapter` via config (`!!js process.env.…` secrets); swap one line to `@deepseek-ai/dsh-llm-pi-ai` for the library-backed twin |
+| `llm-deepseek` | the default native adapter |
 | `bash` (`dsh-bash-local`) | the executor implementation — the swappable half of the bash seam. The model-facing `bash` schema (`tool-bash`) and generic `task_*` controls (`tool-tasks`) come from `dsh-agent-spine-demo`, so only the executor is a leaf choice |
 | `tui-agent` (`@deepseek-ai/dsh-tui-demo`) | the app bundle: the agent-spine demo + JSONL persistence + the pi-tui channel + a pre-created `main` agent |
 | `subagent`, `subagent-spawn`, `subagent-fork` | the subagent provider registry plus the two in-process backends: a fresh child and a child seeded with the parent's completed-turn prefix |
@@ -19,7 +19,7 @@ pnpm run demo:tui

 `todo_write` 任务跟踪器是选用的，不在已交付配置中：请将 `@deepseek-ai/dsh-tool-todo` 添加到 `cordis.yml`（或在 `~/.dsh` 下使用个人配置覆盖）以公开该工具。加载后，模型会把整表计划记录到会话日志，TUI 则渲染它。

-TUI 渲染 Markdown 历史、推理、工具所有的终端／diff／通用卡片、token 总量，以及加载 `todo_write` 时的最新计划。较长的工具正文保留首尾预览；Ctrl+O 展开或折叠所有卡片。Enter 用于提交，或在 agent 运行时进行 steering（中途引导）；Ctrl+R 切换推理，Escape 取消，`/help` 列出命令。`/plan` 为下一步骤选择 plan mode；`/plan <message>` 还会将消息提交到该步骤，`/plan off` 则在没有模型输入的情况下选择默认 mode。`/status` 会展开当前会话的标识、活动计数、精确 token／缓存 bucket、上下文用量和时间戳，而不中断正在运行的轮次。`/model` 打开当前提供方目录的键盘选择器；使用 Up/Down 和 Enter，或使用 `/model <model>` 和 `/model <provider>/<model>` 直接选择。`ask_user_question` 会打开一个位于左下方的宽键盘面板，包含批次进度和编号选项。
+TUI 渲染 Markdown 历史、推理、工具所有的终端／diff／通用卡片、token 总量，以及加载 `todo_write` 时的最新计划。较长的工具正文保留首尾预览；Ctrl+O 展开或折叠所有卡片。Enter 用于提交，或在 agent 运行时进行 steering（中途引导）；Ctrl+R 切换推理，Escape 取消，`/help` 列出命令。`/plan` 为下一步骤选择 plan mode；`/plan <message>` 还会将消息提交到该步骤，`/plan off` 则在没有模型输入的情况下选择默认 mode。`/status` 会展开当前会话的标识、活动计数、精确 token／缓存 bucket、上下文用量和时间戳，而不中断正在运行的轮次。`/model` 打开当前提供方目录的键盘选择器；使用 Up/Down 聚焦模型，使用 Shift+Tab 循环切换为该模型公布的推理强度，再用 Enter 选择；也可以使用 `/model <model>` 和 `/model <provider>/<model>` 直接选择。`ask_user_question` 会打开一个位于左下方的宽键盘面板，包含批次进度和编号选项。

 ### 恢复早先的会话

@@ -53,7 +53,7 @@ pnpm run demo:code-mode acp    # the acp-agent example's same-shaped overlay
 | 配置项 | 演示内容 |
 |---|---|
 | `hmr` (`@cordisjs/plugin-hmr`) | 开发／演示的编辑-重载循环：它是 **叶节点** 配置项（不内置到应用），因为它依赖 Loader 的内部模块访问 |
-| `llm-deepseek` | 通过配置提供真实 `LlmAdapter`（`!!js process.env.…` 密钥）；将一行替换为 `@deepseek-ai/dsh-llm-pi-ai` 即可使用库后端对照实现 |
+| `llm-deepseek` | 默认原生适配器 |
 | `bash` (`dsh-bash-local`) | 执行器实现：bash seam 的可替换一半。面向模型的 `bash` schema（`tool-bash`）和通用 `task_*` 控制（`tool-tasks`）由 `dsh-agent-spine-demo` 提供，因此叶节点只选择执行器 |
 | `tui-agent` (`@deepseek-ai/dsh-tui-demo`) | 应用组合包：agent-spine 演示 + JSONL 持久化 + pi-tui 通道 + 预创建的 `main` agent |
 | `subagent`, `subagent-spawn`, `subagent-fork` | subagent 提供方注册表加两个进程内后端：新子 agent，以及用父 agent 已完成轮次前缀播种的子 agent |
@@ -1,6 +1,11 @@
 import type { Context } from 'cordis'
-import type { GenerateOptions, LlmModelContext, LlmModelInfo, StreamChunk } from '@deepseek-ai/dsh-llm'
-import { CallId, LlmAdapter } from '@deepseek-ai/dsh-llm'
+import type {
+  GenerateOptions,
+  LlmModelInfo,
+  LlmResolvedModelInfo,
+  StreamChunk,
+} from '@deepseek-ai/dsh-llm'
+import { CallId, LlmAdapter, ReasoningEffortId } from '@deepseek-ai/dsh-llm'

 const CONTROL_PROBE = '\u001b]2;MODEL_CONTROLLED\u0007\u001b[999CMODEL_CURSOR\u009b31mMODEL_C1'
 const INITIAL_TEXT = `I need one decision before I continue. ${CONTROL_PROBE}`
@@ -35,8 +40,28 @@ class ScriptedTuiAdapter extends LlmAdapter {
    ])
  }

-  override resolveModelContext(_provider: string, _model: string): Promise<LlmModelContext> {
-    return Promise.resolve({ contextWindow: 128_000 })
+  override resolveModel(
+    provider: string,
+    model: string,
+  ): Promise<LlmResolvedModelInfo> {
+    return Promise.resolve({
+      provider,
+      id: model,
+      name: model === 'tui-scripted-model-pro' ? 'Scripted Pro' : 'Scripted Base',
+      context: { contextWindow: 128_000 },
+      ...model !== 'tui-scripted-model-pro'
+        ? {}
+        : {
+          reasoning: {
+            efforts: [
+              { id: ReasoningEffortId('off'), name: 'Off' },
+              { id: ReasoningEffortId('high'), name: 'High' },
+              { id: ReasoningEffortId('max'), name: 'Max' },
+            ],
+            defaultEffort: ReasoningEffortId('high'),
+          },
+        },
+    })
  }

  override async * stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
@@ -47,8 +72,12 @@ class ScriptedTuiAdapter extends LlmAdapter {
      for (const chunk of textChunks(TITLE_TEXT)) yield chunk
      return
    }
-    if (options.model !== 'tui-scripted-model-pro' || !options.system?.includes('tui-scripted-model-pro')) {
-      throw new Error('the scripted TUI request did not apply the selected model to routing and prompt variables')
+    if (
+      options.model !== 'tui-scripted-model-pro'
+      || !options.system?.includes('tui-scripted-model-pro')
+      || options.reasoningEffort !== ReasoningEffortId('max')
+    ) {
+      throw new Error('the scripted TUI request did not apply the selected model and reasoning effort')
    }
    const lastMessage = options.messages.at(-1)
    const lastText = (lastMessage?.content ?? [])
@@ -103,7 +103,7 @@ function smoke(overrides: Partial<TuiPtySmokeOptions> & { label: string }): Prom
 // other route (see fixtures/tui-scripted-llm.ts).
 const SELECT_PRO_MODEL = [
  { waitFor: 'scripted TUI ready.', send: '/model\r' },
-  { waitFor: 'Select model', send: '\x1b[B\r' },
+  { waitFor: 'Select model', send: '\x1b[B\x1b[Z\r' },
 ] as const

 describe('tui-agent keyless smoke (real Loader tree in a PTY)', () => {
@@ -156,6 +156,7 @@ describe('tui-agent keyless smoke (real Loader tree in a PTY)', () => {
      ],
    })
    expect(output).toContain('I need one decision before I continue.')
+    expect(output).toContain('Reasoning effort: Max.')
    expect(output).toContain('Entering plan mode (applies from the next step). Use /plan off to leave.')
    expect(output).toContain('Leaving plan mode (applies from the next step).')
    expect(output).toContain('Default mode confirmed.')
@@ -272,7 +272,7 @@ export class BasicCompactService extends CompactService {
      return this.compactRegion(range.start, range.end, agent, signal)
    }

-    const context = await this.ctx.llm.resolveModelContext(target.provider, target.model)
+    const context = (await this.ctx.llm.resolveModelInfo(target.provider, target.model, signal)).context
    const targetKey = `${target.provider}/${target.model}`
    if (context === undefined) {
      throw new TargetPressureConfigError(
@@ -16,7 +16,7 @@ import type {
  ContentBlock,
  GenerateOptions,
  LlmFailure,
-  LlmModelContext,
+  LlmResolvedModelInfo,
  Message,
  StreamChunk,
 } from '@deepseek-ai/dsh-llm'
@@ -33,8 +33,13 @@ class ContextAdapter extends LlmAdapter {
    super()
  }

-  override resolveModelContext(): Promise<LlmModelContext> {
-    return Promise.resolve({ contextWindow: this.contextWindow })
+  override resolveModel(provider: string, model: string): Promise<LlmResolvedModelInfo> {
+    return Promise.resolve({
+      provider,
+      id: model,
+      name: model,
+      context: { contextWindow: this.contextWindow },
+    })
  }

  override async * stream(): AsyncIterable<StreamChunk> {
@@ -47,9 +52,14 @@ class RoutedContextAdapter extends LlmAdapter {
    super()
  }

-  override resolveModelContext(provider: string): Promise<LlmModelContext | undefined> {
+  override resolveModel(provider: string, model: string): Promise<LlmResolvedModelInfo> {
    const contextWindow = this.windows[provider]
-    return Promise.resolve(contextWindow === undefined ? undefined : { contextWindow })
+    return Promise.resolve({
+      provider,
+      id: model,
+      name: model,
+      ...contextWindow === undefined ? {} : { context: { contextWindow } },
+    })
  }

  override async * stream(): AsyncIterable<StreamChunk> {
@@ -453,6 +463,18 @@ describe('pressure measurement and retention', () => {
      .resolves.not.toBeNull()
  })

+  it('forwards turn cancellation to proactive model metadata resolution', async () => {
+    const ctx = createContext()
+    const resolveModelInfo = vi.spyOn(ctx.llm, 'resolveModelInfo')
+    const compact = service(compactConfig, ctx)
+    const session = conversation()
+    const signal = new AbortController().signal
+
+    await expect(compact.compactIfNeeded(agent(session, MODEL), 'pressure', signal))
+      .resolves.not.toBeNull()
+    expect(resolveModelInfo).toHaveBeenCalledWith(MODEL, MODEL, signal)
+  })
+
  it('re-resolves capacity after a same-model-id provider switch in one session', async () => {
    const ctx = new Context()
    void new LlmService(ctx)
@@ -485,7 +507,11 @@ describe('pressure measurement and retention', () => {
    void new LlmService(ctx)
    void new TokenMeterService(ctx)
    ctx.llm.registerAdapter(['unknown-context'], new ContextAdapter(1_000))
-    vi.spyOn(ctx.llm, 'resolveModelContext').mockResolvedValue(undefined)
+    vi.spyOn(ctx.llm, 'resolveModelInfo').mockImplementation((provider, model) => Promise.resolve({
+      provider,
+      id: model,
+      name: model,
+    }))
    const compact = service(compactConfig, ctx)
    const session = conversation(4)
    session.append('request/header', {
@@ -1337,7 +1363,11 @@ describe('automatic listener and loader composition', () => {
    const ctx = createContext()
    const warnings: string[] = []
    ctx.logger.warn = ((message: string) => void warnings.push(message)) as typeof ctx.logger.warn
-    vi.spyOn(ctx.llm, 'resolveModelContext').mockResolvedValue(undefined)
+    vi.spyOn(ctx.llm, 'resolveModelInfo').mockImplementation((provider, model) => Promise.resolve({
+      provider,
+      id: model,
+      name: model,
+    }))
    void new TestCompactService(ctx, {
      thresholdRatio: 0.5,
      retainTokens: 180,
@@ -2,7 +2,7 @@ import { describe, expect, it } from 'vitest'
 import { Context } from 'cordis'
 import { toolPairingBalancedAfter, toolPairingBalancedBefore } from '@deepseek-ai/dsh-compact'
 import { CONTEXT_WINDOW_EXCEEDED_CODE, LlmError } from '@deepseek-ai/dsh-llm'
-import type { ContentBlock, GenerateOptions, StreamChunk } from '@deepseek-ai/dsh-llm'
+import type { ContentBlock, GenerateOptions, LlmResolvedModelInfo, StreamChunk } from '@deepseek-ai/dsh-llm'
 import { CallId, LlmAdapter } from '@deepseek-ai/dsh-llm'
 import { defineContentToolFixture } from '@deepseek-ai/dsh-tools'
 import type { Agent } from '@deepseek-ai/dsh-agent'
@@ -41,8 +41,13 @@ class StepwiseToolAdapter extends LlmAdapter {
    super()
  }

-  override resolveModelContext(): Promise<{ contextWindow: number }> {
-    return Promise.resolve({ contextWindow: 400 })
+  override resolveModel(provider: string, model: string): Promise<LlmResolvedModelInfo> {
+    return Promise.resolve({
+      provider,
+      id: model,
+      name: model,
+      context: { contextWindow: 400 },
+    })
  }

  async * stream(_options: GenerateOptions): AsyncIterable<StreamChunk> {
@@ -76,8 +81,13 @@ class OverflowRecoveryAdapter extends LlmAdapter {
    super()
  }

-  override resolveModelContext(): Promise<{ contextWindow: number }> {
-    return Promise.resolve({ contextWindow: 128 })
+  override resolveModel(provider: string, model: string): Promise<LlmResolvedModelInfo> {
+    return Promise.resolve({
+      provider,
+      id: model,
+      name: model,
+      context: { contextWindow: 128 },
+    })
  }

  override async * stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
@@ -381,12 +381,20 @@ export const SERVICE_API: readonly ServiceApiEntry[] = [
        jsDoc: '/**\n * Discover models advertised by one registered provider. Catalog membership\n * is advisory and never changes routing or request validation.\n * @param provider - registered provider route to inspect.\n * @returns detached model metadata in adapter-preferred order.\n */',
      },
      {
-        signature: 'async resolveModelContext( provider: string, model: string, ): Promise<LlmModelContext | undefined>',
-        jsDoc: '/**\n * Resolve context capacity from the adapter that owns one exact route.\n * This query is independent of the advisory model catalog: an unlisted model\n * may return metadata, while `undefined` never rejects later routing.\n * @param provider - registered provider route to inspect.\n * @param model - exact model id passed to the adapter.\n * @returns detached context metadata, or `undefined` when the adapter has none.\n */',
+        signature: 'async resolveModelInfo( provider: string, model: string, signal?: AbortSignal, ): Promise<LlmResolvedModelInfo>',
+        jsDoc: '/**\n * Resolve and validate all metadata from the adapter that owns one exact\n * route. The result is detached from adapter-owned objects; catalog\n * membership remains advisory and does not control request routing.\n * @param provider - registered provider route to inspect.\n * @param model - exact model id passed to the adapter.\n * @param signal - optional cancellation for adapter-owned asynchronous lookup.\n * @returns exact model identity plus available context and reasoning metadata.\n */',
+      },
+      {
+        signature: 'async resolveCallConfig(config: LlmCallConfig, signal?: AbortSignal): Promise<LlmCallConfig>',
+        jsDoc: '/**\n * Validate a conversation call config against its exact model capability and\n * materialize an adapter-configured default. Unsupported explicit efforts\n * reject before provider I/O; no clamping or aliasing is performed. This\n * standalone query does not bind a later dispatch; use {@link prepareCall}\n * when logging and streaming must share one adapter registration.\n * @param config - provider/model route and optional request controls.\n * @param signal - optional cancellation for adapter-owned capability lookup.\n * @returns a detached config only when a default must be materialized.\n */',
+      },
+      {
+        signature: 'async prepareCall(config: LlmCallConfig, signal?: AbortSignal): Promise<PreparedLlmCall>',
+        jsDoc: '/**\n * Resolve one call under its current adapter registration. The returned\n * one-shot handle keeps that registration across header logging and dispatch,\n * so HMR cannot combine one adapter\'s capability result with another adapter.\n * @param config - provider/model route and optional request controls.\n * @param signal - optional cancellation for adapter-owned capability lookup.\n * @returns a prepared config and its registration-bound stream entry point.\n */',
      },
      {
        signature: 'stream(options: GenerateOptions): AsyncIterable<StreamChunk>',
-        jsDoc: '/**\n * Stream one model call as raw chunks (token-level deltas). Throws\n * `LlmError` with code `NO_ADAPTER` if no adapter is registered for\n * `options.provider`. Replay state is retained only when the same adapter\n * instance owns its historical provider and the target provider. Final\n * adapter selection, dispatch, and iteration failures retain their original\n * Error identity and are tagged in a call-local scope for narrow agent-loop\n * request recovery; middleware and nested-call failures remain untagged for\n * the outer call.\n * @param options - the full request; `options.provider` selects the adapter.\n * @returns the chunk stream, possibly wrapped by `llm/stream` listeners.\n */',
+        jsDoc: '/**\n * Stream one model call as raw chunks (token-level deltas). Throws\n * `LlmError` with code `NO_ADAPTER` if no adapter is registered for\n * `options.provider`. Replay state is retained only when the same adapter\n * instance owns its historical provider and the target provider. Final\n * adapter selection remains fixed through asynchronous exact-model resolution\n * and dispatch. Selection, dispatch, and iteration failures retain their\n * original Error identity and are tagged in a call-local scope for narrow\n * agent-loop request recovery; middleware and nested-call failures remain\n * untagged for the outer call.\n * @param options - the full request; `options.provider` selects the adapter.\n * @returns the chunk stream, possibly wrapped by `llm/stream` listeners.\n */',
      },
    ],
  },
@@ -1653,7 +1661,7 @@ export const TYPE_API: readonly TypeApiEntry[] = [
  },
  {
    name: 'GenerateOptions',
-    declaration: 'export interface GenerateOptions {\n    provider: string;\n    model: string;\n    messages: Message[];\n    system?: string;\n    tools?: ToolSchema[];\n    temperature?: number;\n    maxTokens?: number;\n    stop?: string[];\n    signal?: AbortSignal;\n    sessionId?: Branded<\'SessionId\'>;\n    purpose?: \'compaction\' | \'session-title\';\n}',
+    declaration: 'export interface GenerateOptions {\n    provider: string;\n    model: string;\n    reasoningEffort?: ReasoningEffortId;\n    messages: Message[];\n    system?: string;\n    tools?: ToolSchema[];\n    temperature?: number;\n    maxTokens?: number;\n    stop?: string[];\n    signal?: AbortSignal;\n    sessionId?: Branded<\'SessionId\'>;\n    purpose?: \'compaction\' | \'session-title\';\n}',
  },
  {
    name: 'GenericCallView',
@@ -1733,11 +1741,11 @@ export const TYPE_API: readonly TypeApiEntry[] = [
  },
  {
    name: 'LlmAdapter',
-    declaration: 'export abstract class LlmAdapter {\n    providerInfo(provider: string): LlmProviderInfo;\n    listModels(_provider: string): Promise<readonly LlmModelInfo[]>;\n    resolveModelContext(_provider: string, _model: string): Promise<LlmModelContext | undefined>;\n    abstract stream(options: GenerateOptions): AsyncIterable<StreamChunk>;\n}',
+    declaration: 'export abstract class LlmAdapter {\n    providerInfo(provider: string): LlmProviderInfo;\n    listModels(_provider: string): Promise<readonly LlmModelInfo[]>;\n    resolveModel(provider: string, model: string, _signal?: AbortSignal): Promise<LlmResolvedModelInfo>;\n    abstract stream(options: GenerateOptions): AsyncIterable<StreamChunk>;\n}',
  },
  {
    name: 'LlmCallConfig',
-    declaration: 'export interface LlmCallConfig {\n    provider: string;\n    model: string;\n    temperature?: number;\n    maxTokens?: number;\n    stop?: string[];\n}',
+    declaration: 'export interface LlmCallConfig {\n    provider: string;\n    model: string;\n    reasoningEffort?: ReasoningEffortId;\n    temperature?: number;\n    maxTokens?: number;\n    stop?: string[];\n}',
  },
  {
    name: 'LlmFailure',
@@ -1751,10 +1759,22 @@ export const TYPE_API: readonly TypeApiEntry[] = [
    name: 'LlmModelInfo',
    declaration: 'export interface LlmModelInfo {\n    provider: string;\n    id: string;\n    name: string;\n    description?: string;\n}',
  },
+  {
+    name: 'LlmModelReasoningInfo',
+    declaration: 'export interface LlmModelReasoningInfo {\n    efforts: readonly LlmReasoningEffortInfo[];\n    defaultEffort?: ReasoningEffortId;\n}',
+  },
  {
    name: 'LlmProviderInfo',
    declaration: 'export interface LlmProviderInfo {\n    id: string;\n    name: string;\n}',
  },
+  {
+    name: 'LlmReasoningEffortInfo',
+    declaration: 'export interface LlmReasoningEffortInfo {\n    id: ReasoningEffortId;\n    name: string;\n    description?: string;\n}',
+  },
+  {
+    name: 'LlmResolvedModelInfo',
+    declaration: 'export interface LlmResolvedModelInfo extends LlmModelInfo {\n    context?: LlmModelContext;\n    reasoning?: LlmModelReasoningInfo;\n}',
+  },
  {
    name: 'Message',
    declaration: 'export interface Message {\n    role: \'system\' | \'user\' | \'assistant\';\n    content: ContentBlock[];\n    provenance?: AssistantProvenance;\n}',
@@ -1779,6 +1799,10 @@ export const TYPE_API: readonly TypeApiEntry[] = [
    name: 'OutOfBandSessionEventType',
    declaration: 'export type OutOfBandSessionEventType = Exclude<Extract<SessionEventType, keyof OutOfBandSessionEventMap>, SurfaceEventType>;',
  },
+  {
+    name: 'PreparedLlmCall',
+    declaration: 'export interface PreparedLlmCall {\n    readonly config: LlmCallConfig;\n    stream(options: GenerateOptions): AsyncIterable<StreamChunk>;\n}',
+  },
  {
    name: 'PreparedReferencedMessage',
    declaration: 'export interface PreparedReferencedMessage {\n    content: ContentBlock[];\n    contexts: HookContext[];\n}',
@@ -1899,6 +1923,10 @@ export const TYPE_API: readonly TypeApiEntry[] = [
    name: 'ReasoningBlock',
    declaration: 'export interface ReasoningBlock {\n    type: \'reasoning\';\n    text: string;\n}',
  },
+  {
+    name: 'ReasoningEffortId',
+    declaration: 'export type ReasoningEffortId = Branded<\'ReasoningEffortId\'>;',
+  },
  {
    name: 'RequestHeaderReason',
    declaration: 'export type RequestHeaderReason = \'initial\' | \'resume\' | \'change\';',
@@ -1,6 +1,6 @@
 # Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
 # side as of the last confirmed-consistent state. Both languages carry equal authority;
 # after editing either side, bring the other along and re-record with:
-#   pnpm run verify-translation-pairing --write
-README.md: 3acf4d3828291d5f318306f2652e0d920c695675
-README.zh.md: 11ff8318813b1abd096e1a3549d389cbba88f12b
+#   pnpm run verify-translation-pairing --write packages/core/agent-loop/README.md
+README.md: 6ad982ffff7b73e16ee39f9c29da787e37547de4
+README.zh.md: c72df198774f0f8009cc5ab43932e69187757745
@@ -62,6 +62,8 @@ The driver owns one agent for its lifetime and runs inside `ctx.agents.withIniti

 Every provider call that reaches a successful finish appends exactly one `assistant/message` completion anchor, including content-less calls and `max-tokens` finishes. A successful `agent/step-result` stores its transformed content; a rejected result records empty content before the original failure continues. The anchor retains exact chunk provenance (`[]` for a stream with no chunks) and usage when available, while empty content stays out of derived message history.

+After `agent/request` returns a provider/model call config, the loop asks `ctx.llm.prepareCall()` to validate any adapter-owned reasoning effort and materialize its configured default under the active turn signal. The prepared call retains the exact adapter registration across this asynchronous resolution, `request/header` logging, and terminal dispatch, so HMR cannot mix one adapter's capability result with another adapter's request. The effective config is logged before dispatch, so a listener can change effort between steps without hidden request drift. A route with no registered adapter preserves the proposed config so an `llm/stream` listener can own and short-circuit it; unhandled terminal dispatch still fails with `NO_ADAPTER`. A new loop instance restores the last effort only when its initial provider/model route exactly matches the logged route; a route change discards that opaque model-owned ID and resolves the new model independently.
+
 Plugin failure ends the current turn, not the loop. Only final adapter dispatch/iteration failures and terminal in-band error or aborted finishes enter `agent/request-error`; middleware, result processing, tools, and `agent/post-step` remain ordinary turn failures. Recovery receives the exact live error, immutable provider facts, and immutable prior failures after the failed step closes. A retry rebuilds from the durable log in a new numbered step, success clears the consecutive history, and exhaustion records the structured failure once on `turn/end`. AgentLoop privately owns one cancellation holder whose explicit signal spans prompt policy, assembly, every step, model and tool work, recovery, continuation, and terminal stop; it retires the holder immediately before publishing `turn/end`, while the driver may remain `running` through the durability flush. An effective `cancel()` emits the typed runtime-only `user | parent` cause before clearing pending work and cooperatively aborting the holder; notification failures cannot veto cancellation, work queued by a notification observer is cleared, work queued by a later abort observer belongs to the next turn, and idle cancellation emits nothing. Durable `turn/end` remains coarse `aborted`; undispatched model tool calls receive synthetic `tool/call` and `ABORTED_BEFORE_DISPATCH` result pairs. Disposal wins terminal classification, and work that ignores the signal must settle before quiescence. The [explicit-cancellation decision](../../../.agents/notes/implemented/architecture/2026-07-16-explicit-turn-cancellation.md) owns the lifecycle and race contract. Terminal continuation stops remain authoritative through turn close and durability flush.

 Within a step, exclusive calls form barriers; parallel-safe calls use a bounded rolling pool and are reclassified before start. Only dispatch/body overlaps. Policy, durable results, and result context remain model-ordered. Abort stops new calls, drains started results, then drains accepted batch context before the turn closes through the normal abort path.
@@ -62,6 +62,8 @@ interface Config {

 每次提供方调用成功结束时，都会恰好追加一个 `assistant/message` 完成锚点，包括无内容调用和以 `max-tokens` 结束的调用。成功的 `agent/step-result` 存储其转换后内容；被拒绝的结果会先记录空内容，再继续抛出原始失败。该锚点保留确切的 chunk 溯源（流没有 chunk 时为 `[]`），并在用量可用时保留用量；空内容不会进入派生消息历史。

+在 `agent/request` 返回提供方／模型调用配置后，循环会调用 `ctx.llm.prepareCall()`，在活跃轮次信号的控制下校验由适配器持有的推理（reasoning）强度，并填入其配置默认值。准备完成的调用会在这次异步解析、`request/header` 日志记录和最终分派期间保留同一项确切的适配器注册，因此 HMR（热模块替换）不会把某个适配器的能力解析结果与另一适配器的请求混用。生效配置会在分派前写入日志，因此监听器可以在步骤之间更改推理强度，而不会产生未记录的请求变化。没有已注册适配器的路由会保留原定配置，使 `llm/stream` 监听器可以接管并短路该请求；最终分派仍会以 `NO_ADAPTER` 拒绝未得到处理的路由。新循环实例仅在初始提供方／模型路由与日志路由完全一致时恢复上次的推理强度；路由变化会丢弃由前一模型持有的不透明 ID，并单独解析新模型。
+
 插件失败会结束当前轮次，而不是结束循环。只有最终适配器分发／迭代失败，以及带内的终止错误或中止结束原因，才进入 `agent/request-error`；中间件、结果处理、工具和 `agent/post-step` 仍属于普通轮次失败。失败步骤关闭后，恢复逻辑会接收确切的实时错误、不可变的提供方事实和不可变的先前失败。重试会在新的编号步骤中根据持久日志重建；成功会清除连续失败历史；耗尽后只在 `turn/end` 上记录一次结构化失败。AgentLoop 私下拥有一个取消持有者，其显式信号覆盖提示词策略、组装、每个步骤、模型与工具工作、恢复、continuation 和终止停止；它会在发布 `turn/end` 前立即退役该持有者，而驱动器可以在持久性 flush 期间继续保持 `running`。有效的 `cancel()` 会先发出仅存在于运行时的类型化 `user | parent` 原因，再清除待处理工作，并以协作方式中止该持有者；通知失败无法 veto 取消，通知观察方排队的工作会被清除，之后由中止观察方排队的工作属于下一轮次，空闲取消则不发出任何内容。持久 `turn/end` 仍使用粗粒度的 `aborted`；未分发的模型工具调用会收到合成的 `tool/call` 与 `ABORTED_BEFORE_DISPATCH` 结果对。释放会在终止分类中胜出；忽略信号的工作必须先结算，系统才能完全停稳。[显式取消决策](../../../.agents/notes/implemented/architecture/2026-07-16-explicit-turn-cancellation.md)规定生命周期与竞态契约。终止 continuation 的停止决定在轮次关闭和持久性 flush 期间始终具有权威性。

 在步骤内，独占调用形成屏障；并行安全调用使用有界滚动池，并在启动前重新分类。只有分发／主体会重叠。策略、持久结果和结果上下文仍保持模型顺序。中止会停止新调用、drain 已启动的结果，然后在轮次通过普通中止路径关闭前，drain 已接纳的批次上下文。
@@ -7,7 +7,7 @@

 import { randomUUID } from 'node:crypto'
 import type { Context } from 'cordis'
-import type { ContentBlock, FinishReason, GenerateOptions, LlmCallConfig, LlmFailure, Message } from '@deepseek-ai/dsh-llm'
+import type { ContentBlock, FinishReason, GenerateOptions, LlmCallConfig, LlmFailure, Message, PreparedLlmCall } from '@deepseek-ai/dsh-llm'
 import { isDeepStrictEqual } from 'node:util'
 import { BlockAssembler, HarnessError, LlmError, assertNever, deepFreeze, errorChain, llmFailureOf, markAgentLoopRequest } from '@deepseek-ai/dsh-llm'
 import { agentEvents, agentInterruptReasonOf, assembleContextFor, AgentMessageId } from '@deepseek-ai/dsh-agent'
@@ -661,19 +661,45 @@ async function runStep(

  // Seed the first request from agent options and later requests from the logged header;
  // detach and freeze so listeners must return an attributable replacement.
-  const seedConfig: LlmCallConfig = deepFreeze(structuredClone(transmission.loggedHeader
-    // eslint-disable-next-line @typescript-eslint/no-non-null-assertion -- loggedHeader ⟹ a snapshot is in the log
-    ? session.requestHeader()!.config
-    : { provider: options.provider ?? '', model: options.model ?? '' }))
+  const loggedConfig = session.requestHeader()?.config
+  const initialProvider = options.provider ?? ''
+  const initialModel = options.model ?? ''
+  const initialConfig: LlmCallConfig = {
+    provider: initialProvider,
+    model: initialModel,
+    ...loggedConfig?.provider === initialProvider
+      && loggedConfig.model === initialModel
+      && loggedConfig.reasoningEffort !== undefined
+      ? { reasoningEffort: loggedConfig.reasoningEffort }
+      : {},
+  }
+  const seedConfig: LlmCallConfig = deepFreeze(structuredClone(
+    transmission.loggedHeader
+      // eslint-disable-next-line @typescript-eslint/no-non-null-assertion -- loggedHeader ⟹ a snapshot is in the log
+      ? session.requestHeader()!.config
+      : initialConfig,
+  ))

  // Listener replacements are recorded in the request header before dispatch.
-  const config = await events.waterfall(
+  const proposedConfig = await events.waterfall(
    'agent/request', turn, step, seedConfig, signal, () => Promise.resolve(seedConfig),
  )
  interruptionCheckpoint(signal)
-  if (!config.provider || !config.model) {
+  if (!proposedConfig.provider || !proposedConfig.model) {
    throw new Error(`agent "${agent.id}" has no provider/model: set AgentOptions.provider and AgentOptions.model or supply both via the agent/request waterfall`)
  }
+  let config: LlmCallConfig
+  let preparedCall: PreparedLlmCall | undefined
+  try {
+    preparedCall = await ctx.llm.prepareCall(proposedConfig, signal)
+    config = preparedCall.config
+  } catch (error: unknown) {
+    // A waterfall listener may own and short-circuit a route with no adapter.
+    // Terminal dispatch still raises NO_ADAPTER when no listener handles it.
+    if (!(error instanceof LlmError) || error.code !== 'NO_ADAPTER') throw error
+    config = proposedConfig
+  }
+  interruptionCheckpoint(signal)

  // eslint-disable-next-line @typescript-eslint/no-non-null-assertion -- runTurn composes the prefix before every runStep call
  const sessionPrefix = transmission.sessionPrefix!
@@ -691,6 +717,9 @@ async function runStep(
  const request: GenerateOptions = markAgentLoopRequest(deepFreeze({
    provider: header.config.provider,
    model: header.config.model,
+    ...header.config.reasoningEffort !== undefined
+      ? { reasoningEffort: header.config.reasoningEffort }
+      : {},
    messages: [...header.messagePrefix ?? [], ...boundaryMessages],
    ...header.system !== undefined ? { system: header.system } : {},
    ...header.tools !== undefined ? { tools: header.tools } : {},
@@ -704,7 +733,7 @@ async function runStep(
  // --- Model call (streaming-first; raw chunks are the replay record) ---
  const assembler = new BlockAssembler()
  const chunkSeqs: number[] = []
-  const stream = ctx.llm.stream(request)
+  const stream = preparedCall?.stream(request) ?? ctx.llm.stream(request)
  try {
    for await (const chunk of stream) {
      interruptionCheckpoint(signal)
@@ -1,4 +1,4 @@
-import type { GenerateOptions, StreamChunk } from '@deepseek-ai/dsh-llm'
+import type { GenerateOptions, LlmModelReasoningInfo, LlmResolvedModelInfo, StreamChunk } from '@deepseek-ai/dsh-llm'
 import { CallId, LlmAdapter } from '@deepseek-ai/dsh-llm'

 /** Helpers to write scripted responses tersely. */
@@ -64,10 +64,25 @@ export function toolCallResponse(rawCallId: string, name: string, args: object,
 export class MockAdapter extends LlmAdapter {
  requests: GenerateOptions[] = []

-  constructor(private script: (StreamChunk[] | ((options: GenerateOptions) => StreamChunk[]) | 'hang')[]) {
+  constructor(
+    private script: (StreamChunk[] | ((options: GenerateOptions) => StreamChunk[]) | 'hang')[],
+    private readonly reasoning?: LlmModelReasoningInfo,
+  ) {
    super()
  }

+  override resolveModel(
+    provider: string,
+    model: string,
+  ): Promise<LlmResolvedModelInfo> {
+    return Promise.resolve({
+      provider,
+      id: model,
+      name: model,
+      ...this.reasoning === undefined ? {} : { reasoning: this.reasoning },
+    })
+  }
+
  async * stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
    this.requests.push(options)
    const entry = this.script.shift()
@@ -7,8 +7,8 @@

 import { describe, expect, it } from 'vitest'
 import { Context } from 'cordis'
-import LlmService from '@deepseek-ai/dsh-llm'
-import type { GenerateOptions } from '@deepseek-ai/dsh-llm'
+import LlmService, { LlmError, ReasoningEffortId } from '@deepseek-ai/dsh-llm'
+import type { GenerateOptions, LlmModelReasoningInfo, LlmResolvedModelInfo } from '@deepseek-ai/dsh-llm'
 import SessionStore, { Session, SessionId, foldRequestHeader } from '@deepseek-ai/dsh-session'
 import SystemPrompt from '@deepseek-ai/dsh-system-prompt'
 import ToolRegistry, { defineContentToolFixture } from '@deepseek-ai/dsh-tools'
@@ -104,6 +104,168 @@ describe('request stability across the loop', () => {
    expectPrefixExtension(adapter.requests[0]!, adapter.requests[1]!)
  })

+  it('logs adapter defaults, supports per-turn effort changes, and restores the effective value', async () => {
+    const reasoning = {
+      efforts: [
+        { id: ReasoningEffortId('high'), name: 'High' },
+        { id: ReasoningEffortId('max'), name: 'Max' },
+      ],
+      defaultEffort: ReasoningEffortId('high'),
+    }
+    const adapter = new MockAdapter([textResponse('one'), textResponse('two')], reasoning)
+    const ctx = await harness(adapter)
+    const agent = ctx.agentLoop.create(SessionId('effort'), { provider: 'mock', model: 'mock' })
+    ctx.on('agent/request', async (_agent, turn, _step, _config, _signal, next) => {
+      const config = await next()
+      return turn === 2 ? { ...config, reasoningEffort: ReasoningEffortId('max') } : config
+    })
+
+    send(agent, 'first')
+    await waitForIdle(ctx, agent)
+    send(agent, 'second')
+    await waitForIdle(ctx, agent)
+
+    expect(adapter.requests.map(request => request.reasoningEffort)).toEqual([
+      ReasoningEffortId('high'),
+      ReasoningEffortId('max'),
+    ])
+    const headers = agent.session.events.filter(event => event.type === 'request/header')
+    expect(headers.map(event => event.data.header.config.reasoningEffort)).toEqual([
+      ReasoningEffortId('high'),
+      ReasoningEffortId('max'),
+    ])
+    expect(headers.map(event => event.data.reason)).toEqual(['initial', 'change'])
+
+    const resumedAdapter = new MockAdapter([textResponse('three')], reasoning)
+    const resumedCtx = await harness(resumedAdapter)
+    const resumedHandle = await resumedCtx.agents.create({
+      sessionId: SessionId('effort-resumed'),
+      seed: structuredClone(agent.session.events),
+      agentOptions: { provider: 'mock', model: 'mock' },
+    })
+    send(resumedHandle.agent, 'third')
+    await waitForIdle(resumedCtx, resumedHandle.agent)
+
+    expect(resumedAdapter.requests[0]?.reasoningEffort).toBe(ReasoningEffortId('max'))
+    const resumedHeaders = resumedHandle.agent.session.events.filter(event => event.type === 'request/header')
+    expect(resumedHeaders.at(-1)?.data.header.config.reasoningEffort).toBe(ReasoningEffortId('max'))
+    expect(resumedHeaders.at(-1)?.data.reason).toBe('resume')
+  })
+
+  it('keeps exact-model resolution, request logging, and dispatch on one adapter registration', async () => {
+    const ctx = new Context()
+    await ctx.plugin(LlmService)
+    await ctx.plugin(SessionStore)
+    await ctx.plugin(SystemPrompt, { persona: 'stable base' })
+    await ctx.plugin(ToolRegistry)
+    await ctx.plugin(AgentRegistry)
+    await ctx.plugin(AgentLoop, { agents: [] })
+    const started = Promise.withResolvers<undefined>()
+    const reasoning = Promise.withResolvers<LlmModelReasoningInfo>()
+    const first = new class extends MockAdapter {
+      override async resolveModel(
+        provider: string,
+        model: string,
+        _signal?: AbortSignal,
+      ): Promise<LlmResolvedModelInfo> {
+        started.resolve(undefined)
+        return {
+          provider,
+          id: model,
+          name: model,
+          reasoning: await reasoning.promise,
+        }
+      }
+    }([textResponse('first')])
+    const second = new MockAdapter([textResponse('second')], {
+      efforts: [{ id: ReasoningEffortId('max'), name: 'Max' }],
+      defaultEffort: ReasoningEffortId('max'),
+    })
+    const disposeFirst = ctx.llm.registerAdapter(['mock'], first)
+    const agent = ctx.agentLoop.create(SessionId('effort-hmr'), { provider: 'mock', model: 'mock' })
+
+    send(agent, 'go')
+    await started.promise
+    disposeFirst()
+    ctx.llm.registerAdapter(['mock'], second)
+    reasoning.resolve({
+      efforts: [{ id: ReasoningEffortId('high'), name: 'High' }],
+      defaultEffort: ReasoningEffortId('high'),
+    })
+    await waitForIdle(ctx, agent)
+
+    expect(first.requests.map(request => request.reasoningEffort)).toEqual([
+      ReasoningEffortId('high'),
+    ])
+    expect(second.requests).toHaveLength(0)
+    const headers = agent.session.events.filter(event => event.type === 'request/header')
+    expect(headers.at(-1)?.data.header.config.reasoningEffort).toBe(ReasoningEffortId('high'))
+  })
+
+  it('aborts a blocked reasoning lookup before quiescent disposal completes', async () => {
+    const started = Promise.withResolvers<AbortSignal>()
+    const adapter = new class extends MockAdapter {
+      override resolveModel(
+        _provider: string,
+        _model: string,
+        signal?: AbortSignal,
+      ): Promise<never> {
+        if (signal === undefined) return Promise.reject(new Error('missing reasoning signal'))
+        started.resolve(signal)
+        return new Promise((_resolve, reject) => {
+          if (signal.aborted) {
+            reject(signal.reason instanceof Error ? signal.reason : new Error('reasoning aborted'))
+            return
+          }
+          signal.addEventListener('abort', () => {
+            reject(signal.reason instanceof Error ? signal.reason : new Error('reasoning aborted'))
+          }, { once: true })
+        })
+      }
+    }([])
+    const ctx = await harness(adapter)
+    const handle = await ctx.agents.create({
+      sessionId: SessionId('reasoning-dispose'),
+      agentOptions: { provider: 'mock', model: 'mock' },
+    })
+
+    send(handle.agent, 'go')
+    const signal = await started.promise
+    await handle.dispose()
+
+    expect(signal.aborted).toBe(true)
+    expect(handle.agent.status).toBe('disposed')
+    expect(adapter.requests).toHaveLength(0)
+    expect(handle.agent.session.events.some(event => event.type === 'request/header')).toBe(false)
+  })
+
+  it.each(['plain error', 'LLM error'] as const)(
+    'does not swallow a %s from exact-model resolution',
+    async (kind) => {
+      const failure = kind === 'plain error'
+        ? new Error('reasoning metadata failed')
+        : new LlmError('unsupported effort', 'UNSUPPORTED_REASONING_EFFORT')
+      const adapter = new class extends MockAdapter {
+        override resolveModel(): Promise<never> {
+          return Promise.reject(failure)
+        }
+      }([])
+      const ctx = await harness(adapter)
+      const errors: Error[] = []
+      ctx.on('agent/error', (_agent, _turn, _step, error) => void errors.push(error))
+      const agent = ctx.agentLoop.create(SessionId(`reasoning-${kind}`), {
+        provider: 'mock',
+        model: 'mock',
+      })
+
+      send(agent, 'go')
+      await waitForIdle(ctx, agent)
+
+      expect(errors).toContain(failure)
+      expect(adapter.requests).toHaveLength(0)
+    },
+  )
+
  it('a compaction replace rewrites the resend, and the log explains it', async () => {
    const adapter = new MockAdapter([textResponse('one'), textResponse('two')])
    const ctx = await harness(adapter)
@@ -301,6 +463,7 @@ describe('request stability across the loop', () => {
      const firstChunk = events.find(e => e.type === 'assistant/chunk' && e.seq > stepStart.seq)!
      const header = foldRequestHeader(events.slice(0, firstChunk.seq))!
      expect(request.model).toBe(header.config.model)
+      expect(request.reasoningEffort).toBe(header.config.reasoningEffort)
      expect(request.system).toEqual(header.system)
      expect(structuredClone(request.tools ?? [])).toEqual(structuredClone(header.tools ?? []))
      expect(request.temperature).toBe(header.config.temperature)
@@ -1,6 +1,6 @@
 # Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
 # side as of the last confirmed-consistent state. Both languages carry equal authority;
 # after editing either side, bring the other along and re-record with:
-#   pnpm run verify-translation-pairing --write
-README.md: bbae91ff2f497208f1ce620e162c27968d666ac3
-README.zh.md: 95367b35a546c68491b9623daf45a54cd63f2731
+#   pnpm run verify-translation-pairing --write packages/core/agent/README.md
+README.md: a65c53b3e4edf2031f286d7d172e73357c66ff1e
+README.zh.md: 05da8a0a0d3ad2ed879b72e20eae1c4efaf711c8
@@ -12,7 +12,7 @@ Tracks live agents and carries the initiating Agent through asynchronous driver

 ### Public API

-The scoped-registration surface: `Agent.ctx` is the agent's scope context (`dsh-scope`, key = the agent) — register tools/sections/variables/listeners through it for that agent alone, all unwound on disposal. `agentEvents(ctx, agent)` is the fused dispatcher for ordinary agent-subject operations (carrier + injected subject in one move); its notification mode invokes every listener and contains both synchronous throws and returned-promise rejections. The registry lifecycle pair reuses one stable routing carrier. `assembleContextFor(agent)` builds the per-agent assembly context (`agent` + `scope` together). `installAgentLlmTarget(agentCtx, target)` snapshots a mutable provider/model selection during prompt assembly and applies that pair to both prompt variables and request routing for one step. `CreateAgentOptions.setup(agentCtx)` and `ResumeAgentOptions.setup(agentCtx)` compose a fresh or resumed agent's scoped world while both objects remain unpublished. Setup is trusted, composition-only same-process code: drive the agent only after creation resolves.
+The scoped-registration surface: `Agent.ctx` is the agent's scope context (`dsh-scope`, key = the agent) — register tools/sections/variables/listeners through it for that agent alone, all unwound on disposal. `agentEvents(ctx, agent)` is the fused dispatcher for ordinary agent-subject operations (carrier + injected subject in one move); its notification mode invokes every listener and contains both synchronous throws and returned-promise rejections. The registry lifecycle pair reuses one stable routing carrier. `assembleContextFor(agent)` builds the per-agent assembly context (`agent` + `scope` together). `installAgentLlmTarget(agentCtx, target)` snapshots a mutable provider/model/reasoning-effort selection during prompt assembly, applies the route to prompt variables, and applies the complete target to request routing for one step; an absent selected effort clears an inherited effort so the target uses adapter/provider defaults. `CreateAgentOptions.setup(agentCtx)` and `ResumeAgentOptions.setup(agentCtx)` compose a fresh or resumed agent's scoped world while both objects remain unpublished. Setup is trusted, composition-only same-process code: drive the agent only after creation resolves.

 - `ctx.agents.register(agent: Agent): () => void` — record an **already-constructed** agent. Disposed with the calling fiber.
 - Advanced ordered lifecycle: `enter(agent, owner): () => void` enforces `agent.id === agent.session.id`, performs the authoritative ID collision check, and inserts without announcing; `owner` explicitly records the live creator-agent relation (or `undefined` for a root), independently of durable session lineage. `announce(agent)` emits `agent/created` exactly once. A detach requested synchronously by a creation listener is deferred until that dispatch unwinds, and every detach checks the captured entry object, so a stale capability cannot delete a later same-ID replacement. The async factory uses this split; ordinary plugins use `register()`.
@@ -12,7 +12,7 @@ Agent 接口、注册表、进程本地发起方作用域，以及 `agent/*` 事

 ### 公开 API

-带作用域的注册表层：`Agent.ctx` 是 agent 的作用域上下文（`dsh-scope`，键 = 该 agent）。通过它注册工具／段／变量／监听器，只对该 agent 生效，并在释放时全部撤销。`agentEvents(ctx, agent)` 是普通 agent 主体操作的融合分发器（一次完成载体 + 注入主体）；其通知 mode 会调用每个监听器，并同时收容同步抛出和返回 Promise 的拒绝。注册表生命周期对复用一个稳定路由载体。`assembleContextFor(agent)` 构建按 agent 的组装上下文（同时包含 `agent` + `scope`）。`installAgentLlmTarget(agentCtx, target)` 在提示词组装期间快照可变的提供方／模型选择，并将该对同时应用到一个步骤的提示词变量与请求路由。`CreateAgentOptions.setup(agentCtx)` 和 `ResumeAgentOptions.setup(agentCtx)` 在新建或恢复的 agent 尚未发布时，组合其带作用域的世界。Setup 是受信任、仅用于组合的同进程代码：只有创建完成后才能驱动 agent。
+带作用域的注册表层：`Agent.ctx` 是 agent 的作用域上下文（`dsh-scope`，键 = 该 agent）。通过它注册工具／段／变量／监听器，只对该 agent 生效，并在释放时全部撤销。`agentEvents(ctx, agent)` 是普通 agent 主体操作的融合分发器（一次完成载体 + 注入主体）；其通知 mode 会调用每个监听器，并同时收容同步抛出和返回 Promise 的拒绝。注册表生命周期对复用一个稳定路由载体。`assembleContextFor(agent)` 构建按 agent 的组装上下文（同时包含 `agent` + `scope`）。`installAgentLlmTarget(agentCtx, target)` 在提示词组装期间快照可变的提供方／模型／推理（reasoning）强度选择，将路由应用到提示词变量，并将完整目标应用到一个步骤的请求路由；如果没有选定推理强度，则会清除继承的推理强度，使该目标使用适配器／提供方默认值。`CreateAgentOptions.setup(agentCtx)` 和 `ResumeAgentOptions.setup(agentCtx)` 在新建或恢复的 agent 尚未发布时，组合其带作用域的世界。Setup 是受信任、仅用于组合的同进程代码：只有创建完成后才能驱动 agent。

 - `ctx.agents.register(agent: Agent): () => void`：记录一个 **已经构造完成** 的 agent。随调用 fiber 释放。
 - 高级有序生命周期：`enter(agent, owner): () => void` 强制 `agent.id === agent.session.id`，执行权威 ID 冲突检查，并在不通知的情况下插入；`owner` 显式记录实时创建方 agent 关系（根 agent 为 `undefined`），与持久会话谱系无关。`announce(agent)` 恰好发出一次 `agent/created`。创建监听器同步请求的 detach 会延后到该次分发结束；每次 detach 都会检查捕获的条目对象，因此陈旧能力无法删除后续使用同一 ID 的替代项。异步工厂使用这一拆分；普通插件使用 `register()`。
@@ -1,17 +1,19 @@
 /**
- * Agent-scoped provider/model target snapshot shared by interactive front doors.
+ * Agent-scoped LLM target snapshot shared by interactive front doors.
 * @module @deepseek-ai/dsh-agent/llm-target
 */

 import type { Context } from 'cordis'
-import type { LlmCallConfig } from '@deepseek-ai/dsh-llm'
+import type { LlmCallConfig, ReasoningEffortId } from '@deepseek-ai/dsh-llm'

-/** Complete provider/model route selected for one live agent. */
+/** Complete provider/model route and optional reasoning effort selected for one live agent. */
 export interface AgentLlmTarget {
  /** Registered provider route. */
  provider: string
  /** Provider-owned model id. */
  model: string
+  /** Adapter-owned reasoning effort, or provider/default behavior when absent. */
+  reasoningEffort?: ReasoningEffortId
 }

 /** Mutable selection plus the target captured for the current step. */
@@ -24,9 +26,11 @@ export interface AgentLlmTargetRef {

 /**
 * Couple one mutable target to agent-scoped prompt assembly and request routing.
- * Prompt assembly snapshots the selected pair before delegating, then applies
- * both prompt variables and request config to that snapshot so a concurrent
- * switch takes effect on a later step instead of splitting the two surfaces.
+ * Prompt assembly snapshots the selected target before delegating, then applies
+ * its route to prompt variables and its route/effort to request config so a
+ * concurrent switch takes effect on a later step instead of splitting the two
+ * surfaces. An absent selected effort clears any inherited effort so a model
+ * switch can restore that target's provider/default behavior.
 *
 * @param agentCtx - The target agent's scoped context.
 * @param target - Mutable selection owned by the calling front door.
@@ -52,10 +56,15 @@ export function installAgentLlmTarget(agentCtx: Context, target: AgentLlmTargetR
    async (_agent, _turn, _step, _config, _signal, next): Promise<LlmCallConfig> => {
      const resolved = await next()
      const selected = target.assembled
-      return selected === undefined ? resolved : {
-        ...resolved,
+      if (selected === undefined) return resolved
+      const { reasoningEffort: _inheritedEffort, ...withoutInheritedEffort } = resolved
+      return {
+        ...withoutInheritedEffort,
        provider: selected.provider,
        model: selected.model,
+        ...selected.reasoningEffort === undefined
+          ? {}
+          : { reasoningEffort: selected.reasoningEffort },
      }
    },
  )
@@ -7,7 +7,7 @@ import {
  type Agent,
  type AgentLlmTargetRef,
 } from '../src/index.ts'
-import type { LlmCallConfig } from '@deepseek-ai/dsh-llm'
+import { ReasoningEffortId, type LlmCallConfig } from '@deepseek-ai/dsh-llm'

 describe('installAgentLlmTarget()', () => {
  it('snapshots prompt variables and request routing together, then disposes both listeners', async () => {
@@ -24,16 +24,31 @@ describe('installAgentLlmTarget()', () => {
      'agent/request', 1, 0, seed, signal, () => Promise.resolve(seed),
    )).resolves.toBe(seed)

-    target.current = { provider: 'alpha', model: 'a1' }
+    target.current = {
+      provider: 'alpha',
+      model: 'a1',
+      reasoningEffort: ReasoningEffortId('high'),
+    }
    expect((await ctx.systemPrompt.assemble()).variables).toMatchObject({ provider: 'alpha', model: 'a1' })
    target.current = { provider: 'beta', model: 'b1' }
    await expect(agentEvents(ctx, agent).waterfall(
      'agent/request', 1, 0, seed, signal, () => Promise.resolve(seed),
-    )).resolves.toEqual({ provider: 'alpha', model: 'a1', temperature: 0.2 })
+    )).resolves.toEqual({
+      provider: 'alpha',
+      model: 'a1',
+      reasoningEffort: ReasoningEffortId('high'),
+      temperature: 0.2,
+    })

    expect((await ctx.systemPrompt.assemble()).variables).toMatchObject({ provider: 'beta', model: 'b1' })
+    const inherited: LlmCallConfig = {
+      provider: 'alpha',
+      model: 'a1',
+      reasoningEffort: ReasoningEffortId('max'),
+      temperature: 0.2,
+    }
    await expect(agentEvents(ctx, agent).waterfall(
-      'agent/request', 1, 1, seed, signal, () => Promise.resolve(seed),
+      'agent/request', 1, 1, inherited, signal, () => Promise.resolve(inherited),
    )).resolves.toEqual({ provider: 'beta', model: 'b1', temperature: 0.2 })

    dispose()
@@ -183,6 +183,11 @@ function assertCurrentLlmShape(event: Record<string, unknown>, index: number): v
    const header = record['header']
    const config = typeof header === 'object' && header !== null ? (header as Record<string, unknown>)['config'] : undefined
    if (!hasProviderModel(config)) throw new Error(`seed request/header at index ${index} lacks provider/model`)
+    const reasoningEffort = (config as Record<string, unknown>)['reasoningEffort']
+    if (reasoningEffort !== undefined
+      && (typeof reasoningEffort !== 'string' || reasoningEffort.length === 0)) {
+      throw new Error(`seed request/header at index ${index} has an invalid reasoningEffort`)
+    }
  }
  if (event['type'] === 'assistant/message' && !hasProviderModel(record['provenance'])) {
    throw new Error(`seed assistant/message at index ${index} lacks provider/model provenance`)
@@ -156,7 +156,7 @@ export interface TodoItem {
 * canonical empty optional fields are absent.
 */
 export interface EpochHeader {
-  /** The conversation's call configuration (provider, model, and sampling scalars). */
+  /** The conversation's call configuration (provider, model, reasoning effort, and sampling scalars). */
  config: LlmCallConfig
  /** Rendered system prompt text; absent for a system-less request. */
  system?: string
@@ -4,6 +4,7 @@ import { describe, expect, it } from 'vitest'
 import { Session, SessionId, canonicalHeader, foldRequestHeader, headerEquals } from '@deepseek-ai/dsh-session'
 import type { EpochHeader, SessionEvent } from '@deepseek-ai/dsh-session'
 import type { Message, ToolSchema } from '@deepseek-ai/dsh-llm'
+import { ReasoningEffortId } from '@deepseek-ai/dsh-llm'

 const CONFIG = { provider: 'mock', model: 'm' }

@@ -29,6 +30,10 @@ describe('headerEquals', () => {
  it('compares every canonical field and preserves tool order', () => {
    expect(headerEquals(base, structuredClone(base))).toBe(true)
    expect(headerEquals(base, { ...base, config: { provider: 'mock', model: 'other' } })).toBe(false)
+    expect(headerEquals(base, {
+      ...base,
+      config: { ...base.config, reasoningEffort: ReasoningEffortId('high') },
+    })).toBe(false)
    expect(headerEquals(base, { ...base, system: 'other' })).toBe(false)
    expect(headerEquals(base, { ...base, messagePrefix: [msg('other')] })).toBe(false)
    expect(headerEquals(base, { ...base, tools: [] })).toBe(false)
@@ -1,6 +1,6 @@
 import { describe, expect, expectTypeOf, it, vi } from 'vitest'
 import { Context } from 'cordis'
-import { CallId } from '@deepseek-ai/dsh-llm'
+import { CallId, ReasoningEffortId } from '@deepseek-ai/dsh-llm'
 import SessionStore, {
  displayPromptContent,
  findLastMessageTurnEnd,
@@ -118,6 +118,11 @@ describe('Session', () => {
  })

  it('renders injected-context and steering messages as plain user content', () => {
+    expect(displayPromptContent({
+      content: [{ type: 'text', text: 'plain prompt' }],
+      source: { kind: 'user' },
+    })).toEqual([{ type: 'text', text: 'plain prompt' }])
+
    const session = new Session(SessionId('s2'))
    session.append('user/message', {
      content: [{ type: 'text', text: 'file changed: a.ts' }],
@@ -228,6 +233,35 @@ describe('Session', () => {
      .toEqual([unrelatedPrimitiveData])
  })

+  it('round-trips a non-empty reasoning effort and rejects invalid durable values', () => {
+    const valid = {
+      type: 'request/header',
+      seq: 0,
+      time: 1,
+      data: {
+        header: {
+          config: {
+            provider: 'mock',
+            model: 'model',
+            reasoningEffort: ReasoningEffortId('adapter-owned'),
+          },
+        },
+        reason: 'initial',
+      },
+    } as const
+    expect(new Session(SessionId('reasoning-effort'), [valid]).events[0])
+      .toEqual(valid)
+
+    for (const reasoningEffort of ['', 1]) {
+      const invalid = structuredClone(valid) as unknown as SessionEvent
+      if (invalid.type !== 'request/header') throw new Error('test fixture must be a request header')
+      const config = invalid.data.header.config as unknown as Record<string, unknown>
+      config.reasoningEffort = reasoningEffort
+      expect(() => new Session(SessionId('invalid-reasoning-effort'), [invalid]))
+        .toThrow('seed request/header at index 0 has an invalid reasoningEffort')
+    }
+  })
+
  it('isolates the log from mutation through a derived message (append-only contract)', () => {
    const session = new Session(SessionId('s4'))
    session.append('user/message', { content: [{ type: 'text', text: 'original' }], source: { kind: 'user' } }, { surfaceOp: 'append' })
@@ -1,6 +1,6 @@
 # Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
 # side as of the last confirmed-consistent state. Both languages carry equal authority;
 # after editing either side, bring the other along and re-record with:
-#   pnpm run verify-translation-pairing --write
-README.md: e191f3fcd265a6ca9cec3a8dae5f730ce27accf1
-README.zh.md: 268096e5f1a145e8d5cf6469524d36fe48984617
+#   pnpm run verify-translation-pairing --write packages/llm/llm-deepseek/README.md
+README.md: cfa11f34a69b1098d0ff894dd2193cfbf9809be3
+README.zh.md: b3ec9413427a4cb1a22152e0a1d9c9e432cdad8d
@@ -17,7 +17,7 @@ The package root exposes the Cordis plugin contract and `DeepSeekAdapter`; wire
    apiKey: !!js process.env.DEEPSEEK_API_KEY    # or rely on the env fallback
    baseURL: !!js process.env.DEEPSEEK_BASE_URL  # default: https://api.deepseek.com
    thinking: enabled        # optional; provider default is enabled
-    reasoningEffort: high    # optional; high | max — omitted ⇒ not sent
+    reasoningEffort: high    # optional; off | high | max — omitted ⇒ high
    streamIdleTimeoutMs: 300000 # optional; positive finite Node timer delay; five-minute default
    defaultContextWindow: 256000 # optional positive-integer fallback for models without an exact value
    models:                  # optional; defaults to V4 Flash and V4 Pro
@@ -30,11 +30,11 @@ The package root exposes the Cordis plugin contract and `DeepSeekAdapter`; wire

 The plugin registers the single provider route `deepseek`. A request selects it with `provider: deepseek`; its `model` is passed through as the wire `model` string, so changing DeepSeek models does not require lifecycle-time registration. Omitting `models` advertises `deepseek-v4-flash` and `deepseek-v4-pro`, each with a 128,000-token context window; an explicit list replaces those defaults, while `models: []` advertises none. Catalog entries are exposed through `ctx.llm.listModels('deepseek')` for UI selectors and deployment introspection, but remain advisory: unlisted model ids still pass through unchanged. An omitted entry name defaults to its id.

-`contextWindow` is optional per configured model and is not exposed through the advisory catalog. `ctx.llm.resolveModelContext('deepseek', model)` returns an exact model value first, then `defaultContextWindow` for an entry without capacity or an unlisted pass-through id. When neither value exists it returns `undefined` without invalidating routing. Pressure-sensitive plugins therefore get deployment-owned capacity without treating the model selector as authoritative. Registering another adapter for `deepseek` throws `LlmError('DUPLICATE_ADAPTER')`.
+`contextWindow` is optional per configured model and is not exposed through the advisory catalog. `ctx.llm.resolveModelInfo('deepseek', model).context` returns an exact model value first, then `defaultContextWindow` for an entry without capacity or an unlisted pass-through id. When neither value exists, `context` is absent without invalidating routing. Pressure-sensitive plugins therefore get deployment-owned capacity without treating the model selector as authoritative. Registering another adapter for `deepseek` throws `LlmError('DUPLICATE_ADAPTER')`.

-`reasoningEffort` is **omitted by default** — when unset, the `reasoning_effort` wire field is not sent and the server applies its own default for the model. The only accepted values are `high` and `max` (DeepSeek's official effort levels). It is meaningful only with thinking enabled (the provider default).
+The same exact-model result exposes ordered `off`, `high`, and `max` efforts under `reasoning` for every pass-through model when deployment policy permits thinking. `reasoningEffort` selects the deployment default and falls back to `high` when omitted. `agent/request` can replace it on each conversation step; the resolved value is logged in `request/header`. `high` and `max` enable thinking and serialize as the official top-level `reasoning_effort`; adapter-owned `off` instead serializes `thinking.type: disabled` and omits `reasoning_effort`. An unsupported value fails with `UNSUPPORTED_REASONING_EFFORT` before network I/O.

-`thinking`/`reasoningEffort` are adapter-level request defaults serialized as the official top-level `thinking: {type}` / `reasoning_effort` wire fields. They live in adapter config (not `GenerateOptions`) to keep the core vocabulary provider-neutral. A request with `GenerateOptions.purpose: 'session-title'` forces thinking disabled and omits `reasoning_effort`, reserving its bounded output for visible title text without changing conversation or compaction defaults.
+`thinking: disabled` is a deployment lock that publishes only `off` with `off` as its default. Omitting `reasoningEffort` or configuring it as `off` is valid; configuring `high` or `max` fails plugin loading, and a direct per-request attempt to enable thinking fails before network I/O. A request with `GenerateOptions.purpose: 'session-title'` also forces thinking disabled and omits the already-resolved effort, reserving its bounded output for visible title text without changing conversation or compaction defaults.

 `streamIdleTimeoutMs` bounds each outstanding provider read, including the initial `fetch`, without counting time the consumer spends between chunks. One stable abort signal reaches the request and body reader for the whole call; expiry stops the transport and throws `LlmError('TIMEOUT')`, while an earlier caller abort throws `LlmError('ABORTED')`. The adapter makes exactly one provider request per `stream()` call; agent-level retry is a separate plugin policy.

@@ -45,6 +45,7 @@ Every request carries the shared attribution header from dsh-llm's `attributionH
 ## Wire-format notes (verified live + against the official docs)

 - Streaming only (`stream_options.include_usage` always on). `usage` may arrive attached to the finish chunk or as a trailing usage-only chunk — the translator defers both to `[DONE]`, so `usage` always precedes `finish` and nothing follows `finish`.
+- The adapter-owned `off` effort maps to `thinking: {type: 'disabled'}` and never crosses the wire as `reasoning_effort: 'off'`.
 - The first thinking-mode chunk carries `reasoning_content: ""` — handled (no spurious reasoning block).
 - **Reasoning passback rule**: on assistant turns that carried tool calls, `reasoning_content` is serialized back in history (required by the API in thinking mode); on tool-call-free turns it is dropped (ignored anyway — saves tokens).
 - Cache accounting: `cacheReadTokens` ← `prompt_cache_hit_tokens` / `prompt_tokens_details.cached_tokens`; DeepSeek reports no cache-write metric.
@@ -55,7 +56,7 @@ Non-2xx responses throw `LlmError` with stable codes: `AUTH` (401/403), `QUOTA`

 ## Testing

-Unit suites run against a local `node:http` mock SSE server (no network), including structured HTTP facts, malformed/truncated streams, caller abort, connection failure, and proof that idle timeout aborts the actual body. Real-API coverage lives in `tests/adapter.e2e.ts` (`pnpm run test:e2e`, key-gated): V4 Flash + V4 Pro across thinking enabled/disabled and both official effort levels, including the thinking+tools round trip with reasoning passback.
+Unit suites run against a local `node:http` mock SSE server (no network), including dynamic `high`/`off`/`max` selection, structured HTTP facts, malformed/truncated streams, caller abort, connection failure, and proof that idle timeout aborts the actual body. Real-API coverage lives in `tests/adapter.e2e.ts` (`pnpm run test:e2e`, key-gated): V4 Flash + V4 Pro across thinking enabled/disabled and both official effort levels, including the thinking+tools round trip with reasoning passback.

 ## Model Experience

@@ -81,7 +82,7 @@ Reasoning, text, and raw-string tool arguments are translated into harness chunk

 #### Token effect

-Generated tokens follow provider thinking and effort settings plus the request's `maxTokens`; only loop-retained blocks affect later input.
+Generated tokens follow the request's logged reasoning effort and `maxTokens`; only loop-retained blocks affect later input.

 #### KV Cache effect

@@ -17,7 +17,7 @@ harness LLM seam 的 DeepSeek chat-completions 适配器：手写 `fetch` + SSE
    apiKey: !!js process.env.DEEPSEEK_API_KEY    # or rely on the env fallback
    baseURL: !!js process.env.DEEPSEEK_BASE_URL  # default: https://api.deepseek.com
    thinking: enabled        # optional; provider default is enabled
-    reasoningEffort: high    # optional; high | max — omitted ⇒ not sent
+    reasoningEffort: high    # optional; off | high | max — omitted ⇒ high
    streamIdleTimeoutMs: 300000 # optional; positive finite Node timer delay; five-minute default
    defaultContextWindow: 256000 # optional positive-integer fallback for models without an exact value
    models:                  # optional; defaults to V4 Flash and V4 Pro
@@ -30,11 +30,11 @@ harness LLM seam 的 DeepSeek chat-completions 适配器：手写 `fetch` + SSE

 该插件注册唯一提供方路由 `deepseek`。请求使用 `provider: deepseek` 选择该路由；其 `model` 会作为协议 `model` 字符串原样传递，因此更改 DeepSeek 模型不需要生命周期时注册。省略 `models` 会公布 `deepseek-v4-flash` 和 `deepseek-v4-pro`，两者的上下文窗口均为 128,000 token；显式列表会替换这些默认值，`models: []` 则不公布任何模型。Catalog 配置项通过 `ctx.llm.listModels('deepseek')` 公开给 UI selector 与部署自省，但仍只提供建议：未列出模型 id 仍原样传递。省略配置项 name 默认为其 id。

-`contextWindow` 对每个已配置模型都可选，不会通过建议 catalog 公开。`ctx.llm.resolveModelContext('deepseek', model)` 先返回精确模型值，再对不含容量的配置项或未列出原样传递 id 返回 `defaultContextWindow`。两者都不存在时返回 `undefined`，不会使路由失效。因此，压力敏感插件可以获得部署拥有的容量，不会将模型 selector 视为权威。为 `deepseek` 注册另一个适配器会抛出 `LlmError('DUPLICATE_ADAPTER')`。
+`contextWindow` 对每个已配置模型都可选，不会通过建议 catalog 公开。`ctx.llm.resolveModelInfo('deepseek', model).context` 先返回精确模型值，再对不含容量的配置项或未列出原样传递 id 返回 `defaultContextWindow`。两者都不存在时，`context` 字段缺失但不会使路由失效。因此，压力敏感插件可以获得部署拥有的容量，不会将模型 selector 视为权威。为 `deepseek` 注册另一个适配器会抛出 `LlmError('DUPLICATE_ADAPTER')`。

-`reasoningEffort` 默认**省略**：未设置时，不发送 `reasoning_effort` 协议字段，服务器会为模型应用自身默认值。只接受 `high` 和 `max`（DeepSeek 官方 effort 级别）。只有在启用 thinking 时才有意义（提供方默认启用）。
+同一确切模型结果会在部署策略允许思考时，为每个原样传递模型在 `reasoning` 下公开有序的 `off`、`high` 和 `max` 推理强度。`reasoningEffort` 选择部署默认值，省略时回退为 `high`。`agent/request` 可以在每个会话步骤替换它；解析后的值会记录在 `request/header`。`high` 和 `max` 会启用思考，并序列化为官方顶层 `reasoning_effort`；适配器持有的 `off` 则序列化为 `thinking.type: disabled`，且省略 `reasoning_effort`。不支持的值会在网络 I/O 前以 `UNSUPPORTED_REASONING_EFFORT` 失败。

-`thinking`／`reasoningEffort` 是适配器级请求默认值，序列化为官方顶层 `thinking: {type}`／`reasoning_effort` 协议字段。它们位于适配器配置中（而非 `GenerateOptions`），以保持核心词汇与提供方无关。携带 `GenerateOptions.purpose: 'session-title'` 的请求会强制禁用 thinking 并省略 `reasoning_effort`，将有界输出保留给可见标题文本，不改变会话或压缩默认值。
+`thinking: disabled` 是部署锁定：它只公布 `off`，并以 `off` 为默认值。省略 `reasoningEffort` 或将其配置为 `off` 均有效；配置 `high` 或 `max` 会使插件加载失败，直接按请求启用思考也会在网络 I/O 前失败。携带 `GenerateOptions.purpose: 'session-title'` 的请求也会强制禁用思考并省略已解析的推理强度，将有界输出保留给可见标题文本，不改变会话或压缩默认值。

 `streamIdleTimeoutMs` 会限制每次未完成提供方读取，包括初始 `fetch`，但不计入消费方在 chunk 间花费的时间。一个稳定 abort 信号会在整个调用中达到请求与 body reader；过期会停止传输并抛出 `LlmError('TIMEOUT')`，较早的调用方 abort 则抛出 `LlmError('ABORTED')`。适配器每次 `stream()` 调用精确发起一次提供方请求；agent 级重试是独立插件策略。

@@ -45,6 +45,7 @@ harness LLM seam 的 DeepSeek chat-completions 适配器：手写 `fetch` + SSE
 ## 协议格式说明（已通过实时请求与官方文档验证）

 - 只支持流式输出（`stream_options.include_usage` 始终开启）。`usage` 可能附着在 finish chunk 上，也可能作为尾随仅 usage chunk 到达；转换器会将两者都延迟到 `[DONE]`，因此 `usage` 始终位于 `finish` 之前，`finish` 之后不会出现任何内容。
+- 适配器持有的 `off` 推理强度映射为 `thinking: {type: 'disabled'}`，绝不会以 `reasoning_effort: 'off'` 跨越协议。
 - 第一个 thinking 模式 chunk 携带 `reasoning_content: ""`，系统会处理它（不会产生多余 reasoning 块）。
 - **Reasoning 回传规则**：对携带工具调用的 assistant 轮次，会将 `reasoning_content` 序列化回历史（thinking 模式 API 必需）；对不含工具调用的轮次，它会被丢弃（不会使用，可节省 token）。
 - Cache 计量：`cacheReadTokens` ← `prompt_cache_hit_tokens` / `prompt_tokens_details.cached_tokens`；DeepSeek 不报告 cache-write 指标。
@@ -55,7 +56,7 @@ harness LLM seam 的 DeepSeek chat-completions 适配器：手写 `fetch` + SSE

 ## 测试

-单元套件使用本地 `node:http` mock SSE 服务器（无网络），覆盖结构化 HTTP 事实、格式错误／截断流、调用方 abort、连接失败，以及 idle 超时确实会 abort 实际 body 的证明。真实 API 覆盖位于 `tests/adapter.e2e.ts`（`pnpm run test:e2e`，由 key 调节）：V4 Flash + V4 Pro，覆盖 thinking 启用／禁用与两种官方 effort 级别，包括 thinking + 工具往返与 reasoning 回传。
+单元套件使用本地 `node:http` mock SSE 服务器（无网络），覆盖动态 `high`／`off`／`max` 选择、结构化 HTTP 事实、格式错误／截断流、调用方 abort、连接失败，以及 idle 超时确实会 abort 实际 body 的证明。真实 API 覆盖位于 `tests/adapter.e2e.ts`（`pnpm run test:e2e`，由 key 调节）：V4 Flash + V4 Pro，覆盖 thinking 启用／禁用与两种官方 effort 级别，包括 thinking + 工具往返与 reasoning 回传。

 ## 模型体验

@@ -81,7 +82,7 @@ Reasoning、文本与原始字符串工具参数会转换为 harness chunk，供

 #### Token 影响

-生成 token 遵循提供方 thinking 与 effort 设置及请求的 `maxTokens`；只有 loop 保留的块会影响后续输入。
+生成 token 遵循请求中已记录的推理强度和 `maxTokens`；只有 loop 保留的块会影响后续输入。

 #### KV Cache 影响

@@ -5,12 +5,12 @@
 * @module dsh-llm-deepseek/adapter
 */

-import { attributionHeaders, CONTEXT_WINDOW_EXCEEDED_CODE, isContextWindowExceededError, isQuotaExceededError, LlmAdapter, LlmError, ProviderRequestId, QUOTA_EXCEEDED_CODE } from '@deepseek-ai/dsh-llm'
+import { attributionHeaders, CONTEXT_WINDOW_EXCEEDED_CODE, isContextWindowExceededError, isQuotaExceededError, LlmAdapter, LlmError, ProviderRequestId, QUOTA_EXCEEDED_CODE, ReasoningEffortId } from '@deepseek-ai/dsh-llm'
 import type {
  GenerateOptions,
-  LlmModelContext,
  LlmModelInfo,
  LlmProviderInfo,
+  LlmResolvedModelInfo,
  StreamChunk,
 } from '@deepseek-ai/dsh-llm'
 import { idleWatchdog, MAX_TIMER_DELAY_MS, timeoutOf } from '@deepseek-ai/dsh-timeout'
@@ -51,6 +51,26 @@ export interface DeepSeekAdapterOptions {
 /** Default maximum idle interval while an adapter stream read is outstanding. */
 export const DEFAULT_STREAM_IDLE_TIMEOUT_MS = 300_000
 const STREAM_IDLE_TIMEOUT_CODE = 'LLM_STREAM_IDLE_TIMEOUT'
+const OFF_REASONING_EFFORT = ReasoningEffortId('off')
+const HIGH_REASONING_EFFORT = ReasoningEffortId('high')
+const MAX_REASONING_EFFORT = ReasoningEffortId('max')
+const REASONING_EFFORTS = [
+  { id: OFF_REASONING_EFFORT, name: 'Off' },
+  { id: HIGH_REASONING_EFFORT, name: 'High' },
+  { id: MAX_REASONING_EFFORT, name: 'Max' },
+] as const
+const OFF_ONLY_REASONING_EFFORTS = [
+  { id: OFF_REASONING_EFFORT, name: 'Off' },
+] as const
+
+function modelInfo(provider: string, model: DeepSeekCatalogModel): LlmModelInfo {
+  return {
+    provider,
+    id: model.id,
+    name: model.name ?? model.id,
+    ...model.description === undefined ? {} : { description: model.description },
+  }
+}

 function providerRetryAfterMs(value: string | null): number | undefined {
  if (value === null) return undefined
@@ -98,6 +118,11 @@ export class DeepSeekAdapter extends LlmAdapter {

  constructor(private readonly options: DeepSeekAdapterOptions) {
    super()
+    if (options.defaults?.thinking === 'disabled'
+      && options.defaults.reasoningEffort !== undefined
+      && options.defaults.reasoningEffort !== 'off') {
+      throw new Error('llm-deepseek: only reasoningEffort "off" can be configured when thinking is disabled')
+    }
    if (options.defaultContextWindow !== undefined
      && (!Number.isInteger(options.defaultContextWindow) || options.defaultContextWindow <= 0)) {
      throw new Error('llm-deepseek: defaultContextWindow must be a positive integer')
@@ -117,21 +142,40 @@ export class DeepSeekAdapter extends LlmAdapter {
  }

  override listModels(provider: string): Promise<readonly LlmModelInfo[]> {
-    return Promise.resolve((this.options.models ?? []).map(model => ({
-      provider,
-      id: model.id,
-      name: model.name ?? model.id,
-      ...model.description === undefined ? {} : { description: model.description },
-    })))
+    return Promise.resolve((this.options.models ?? []).map(model => modelInfo(provider, model)))
  }

-  override resolveModelContext(
-    _provider: string,
+  override resolveModel(
+    provider: string,
    model: string,
-  ): Promise<LlmModelContext | undefined> {
-    const contextWindow = this.options.models?.find(entry => entry.id === model)?.contextWindow
+    _signal?: AbortSignal,
+  ): Promise<LlmResolvedModelInfo> {
+    const configured = this.options.models?.find(entry => entry.id === model)
+    const contextWindow = configured?.contextWindow
      ?? this.options.defaultContextWindow
-    return Promise.resolve(contextWindow === undefined ? undefined : { contextWindow })
+    return Promise.resolve({
+      ...configured === undefined
+        ? { provider, id: model, name: model }
+        : modelInfo(provider, configured),
+      ...contextWindow === undefined ? {} : { context: { contextWindow } },
+      ...this.options.defaults?.thinking === 'disabled'
+        ? {
+          reasoning: {
+            efforts: OFF_ONLY_REASONING_EFFORTS,
+            defaultEffort: OFF_REASONING_EFFORT,
+          },
+        }
+        : {
+          reasoning: {
+            efforts: REASONING_EFFORTS,
+            defaultEffort: this.options.defaults?.reasoningEffort === 'off'
+              ? OFF_REASONING_EFFORT
+              : this.options.defaults?.reasoningEffort === 'max'
+                ? MAX_REASONING_EFFORT
+                : HIGH_REASONING_EFFORT,
+          },
+        },
+    })
  }

  async * stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
@@ -28,18 +28,19 @@ const DEFAULT_MODELS: DeepSeekCatalogModel[] = [
 /**
 * Plugin config, validated by the same-named schemastery schema. Every field
 * is optional in yml: credentials/endpoint fall back to the environment (a
- * missing API key fails plugin load, not the first call), and omitted
- * thinking fields send nothing on the wire, so the provider default applies.
+ * missing API key fails plugin load, not the first call), omitted thinking
+ * mode uses the provider default, and omitted reasoning effort resolves to
+ * `high`.
 */
 export interface Config {
  /** API key; falls back to $DEEPSEEK_API_KEY. Required one way or the other. */
  apiKey?: string
  /** Endpoint base; falls back to $DEEPSEEK_BASE_URL, then the public API. */
  baseURL?: string
-  /** Thinking-mode default for every request (provider default: enabled). */
+  /** Deployment thinking policy; `disabled` limits every conversation request to `off`. */
  thinking?: 'enabled' | 'disabled'
-  /** Thinking effort (only meaningful with thinking enabled). */
-  reasoningEffort?: 'high' | 'max'
+  /** Default thinking effort (default `high`); `off` disables thinking per request. */
+  reasoningEffort?: 'off' | 'high' | 'max'
  /** Positive context capacity used when the selected model has no exact value. */
  defaultContextWindow?: number
  /** Advisory models shown by discovery consumers; defaults to V4 Flash and V4 Pro. */
@@ -59,7 +60,7 @@ export const Config: z<Config> = z.object({
  apiKey: z.string(),
  baseURL: z.string(),
  thinking: z.union(['enabled', 'disabled']),
-  reasoningEffort: z.union(['high', 'max']),
+  reasoningEffort: z.union(['off', 'high', 'max']),
  defaultContextWindow: z.number().step(1).min(1),
  models: z.array(catalogModel).default(DEFAULT_MODELS),
  streamIdleTimeoutMs: z.number().min(Number.MIN_VALUE).max(MAX_TIMER_DELAY_MS).default(DEFAULT_STREAM_IDLE_TIMEOUT_MS),
@@ -94,6 +95,11 @@ function resolveModels(models: readonly DeepSeekCatalogModel[] | undefined): Dee
 }

 export function apply(ctx: Context, config: Config): void {
+  if (config.thinking === 'disabled'
+    && config.reasoningEffort !== undefined
+    && config.reasoningEffort !== 'off') {
+    throw new Error('llm-deepseek: only reasoningEffort "off" can be configured when thinking is disabled')
+  }
  const apiKey = config.apiKey ?? process.env.DEEPSEEK_API_KEY
  if (apiKey === undefined || apiKey.length === 0) {
    throw new Error('llm-deepseek: an API key is required (Config.apiKey or $DEEPSEEK_API_KEY)')
@@ -6,13 +6,49 @@
 * @module dsh-llm-deepseek/serialize
 */

+import { LlmError } from '@deepseek-ai/dsh-llm'
 import type { ContentBlock, GenerateOptions, Message } from '@deepseek-ai/dsh-llm'
 import type { WireMessage, WireRequest, WireTool } from './types.ts'

 /** Adapter-level request defaults (from plugin config). */
 export interface RequestDefaults {
  thinking?: 'enabled' | 'disabled' | undefined
-  reasoningEffort?: 'high' | 'max' | undefined
+  reasoningEffort?: 'off' | 'high' | 'max' | undefined
+}
+
+interface ResolvedThinking {
+  thinking?: 'enabled' | 'disabled'
+  reasoningEffort?: 'high' | 'max'
+}
+
+/** Validate the adapter-owned effort before resolving its DeepSeek wire fields. */
+function reasoningEffort(effort: NonNullable<GenerateOptions['reasoningEffort']>): 'off' | 'high' | 'max' {
+  if (effort === 'off' || effort === 'high' || effort === 'max') {
+    return effort as 'off' | 'high' | 'max'
+  }
+  throw new LlmError(
+    `DeepSeek does not support reasoning effort "${effort}"`,
+    'UNSUPPORTED_REASONING_EFFORT',
+  )
+}
+
+/** Resolve one legal thinking/effort pair without exposing `off` as a wire effort. */
+function resolveThinking(options: GenerateOptions, defaults: RequestDefaults): ResolvedThinking {
+  if (options.purpose === 'session-title') return { thinking: 'disabled' }
+  const effort = options.reasoningEffort === undefined
+    ? defaults.reasoningEffort
+    : reasoningEffort(options.reasoningEffort)
+  if (defaults.thinking === 'disabled' && effort !== undefined && effort !== 'off') {
+    throw new LlmError(
+      `DeepSeek deployment does not support reasoning effort "${effort}"`,
+      'UNSUPPORTED_REASONING_EFFORT',
+    )
+  }
+  if (effort === 'off') return { thinking: 'disabled' }
+  if (effort === 'high' || effort === 'max') {
+    return { thinking: 'enabled', reasoningEffort: effort }
+  }
+  return defaults.thinking === undefined ? {} : { thinking: defaults.thinking }
 }

 /** Join the text blocks of a message (used for user/tool-result content). */
@@ -120,16 +156,17 @@ export function serializeRequest(options: GenerateOptions, defaults: RequestDefa
  }))
  // A short title budget must produce visible text; conversation and
  // compaction calls continue to inherit the adapter's thinking defaults.
-  const thinking = options.purpose === 'session-title' ? 'disabled' : defaults.thinking
-  const reasoningEffort = options.purpose === 'session-title' ? undefined : defaults.reasoningEffort
+  const resolvedThinking = resolveThinking(options, defaults)

  return {
    model: options.model,
    messages,
    stream: true,
    stream_options: { include_usage: true },
-    ...thinking !== undefined ? { thinking: { type: thinking } } : {},
-    ...reasoningEffort !== undefined ? { reasoning_effort: reasoningEffort } : {},
+    ...resolvedThinking.thinking !== undefined ? { thinking: { type: resolvedThinking.thinking } } : {},
+    ...resolvedThinking.reasoningEffort !== undefined
+      ? { reasoning_effort: resolvedThinking.reasoningEffort }
+      : {},
    ...tools !== undefined && tools.length > 0 ? { tools } : {},
    ...options.temperature !== undefined ? { temperature: options.temperature } : {},
    ...options.maxTokens !== undefined ? { max_tokens: options.maxTokens } : {},
@@ -1,6 +1,6 @@
 import { afterEach, describe, expect, it } from 'vitest'
 import { Context } from 'cordis'
-import LlmService, { CallId } from '@deepseek-ai/dsh-llm'
+import LlmService, { CallId, ReasoningEffortId } from '@deepseek-ai/dsh-llm'
 import type { Message, ToolSchema } from '@deepseek-ai/dsh-llm'
 import * as LlmDeepSeek from '@deepseek-ai/dsh-llm-deepseek'
 import type { Config } from '@deepseek-ai/dsh-llm-deepseek'
@@ -50,41 +50,40 @@ const weatherTool: ToolSchema = {
 }

 describe.skipIf(!process.env.DEEPSEEK_API_KEY)('llm-deepseek e2e (real API)', () => {
-  it('flash + thinking disabled: plain text generation', async () => {
-    const ctx = await harness(FLASH, { thinking: 'disabled' })
-    const result = await assemble(ctx,{
+  it('flash dynamically switches from off to high', async () => {
+    const ctx = await harness(FLASH, { reasoningEffort: 'off' })
+    const withoutThinking = await assemble(ctx,{
      model: FLASH,
      messages: ask('Reply with exactly the word: pong'),
      maxTokens: 50,
    })
-    expect(result.finish.kind).toBe('stop')
-    expect(textOf(result).toLowerCase()).toContain('pong')
-    expect(result.message.content.some(block => block.type === 'reasoning')).toBe(false)
-    expect(result.usage?.inputTokens).toBeGreaterThan(0)
-    expect(result.usage?.outputTokens).toBeGreaterThan(0)
-  })
+    expect(withoutThinking.finish.kind).toBe('stop')
+    expect(textOf(withoutThinking).toLowerCase()).toContain('pong')
+    expect(withoutThinking.message.content.some(block => block.type === 'reasoning')).toBe(false)
+    expect(withoutThinking.usage?.inputTokens).toBeGreaterThan(0)
+    expect(withoutThinking.usage?.outputTokens).toBeGreaterThan(0)

-  it('flash + thinking enabled (effort high): reasoning blocks + reasoning tokens', async () => {
-    const ctx = await harness(FLASH, { thinking: 'enabled', reasoningEffort: 'high' })
-    const result = await assemble(ctx,{
+    const withThinking = await assemble(ctx,{
      model: FLASH,
+      reasoningEffort: ReasoningEffortId('high'),
      messages: ask('Which is larger, 9.11 or 9.8? Answer with just the number.'),
      maxTokens: 2000,
    })
-    expect(result.finish.kind).toBe('stop')
-    expect(result.message.content.some(block => block.type === 'reasoning')).toBe(true)
-    expect(textOf(result)).toContain('9.8')
-    expect(result.usage?.reasoningTokens).toBeGreaterThan(0)
+    expect(withThinking.finish.kind).toBe('stop')
+    expect(withThinking.message.content.some(block => block.type === 'reasoning')).toBe(true)
+    expect(textOf(withThinking)).toContain('9.8')
+    expect(withThinking.usage?.reasoningTokens).toBeGreaterThan(0)
  })

  it.each(['high', 'max'] as const)(
    'pro + thinking enabled (effort %s): tool-call round trip with reasoning passback',
    async (effort) => {
-      const ctx = await harness(PRO, { thinking: 'enabled', reasoningEffort: effort })
+      const ctx = await harness(PRO, { thinking: 'enabled' })

      // Turn 1: the model must call the tool (and think before it).
      const first = await assemble(ctx,{
        model: PRO,
+        reasoningEffort: ReasoningEffortId(effort),
        messages: ask('What is the weather in Paris right now? Use the get_weather tool.'),
        tools: [weatherTool],
        maxTokens: 2000,
@@ -99,6 +98,7 @@ describe.skipIf(!process.env.DEEPSEEK_API_KEY)('llm-deepseek e2e (real API)', ()
      // block in history (the official thinking+tools passback rule).
      const second = await assemble(ctx,{
        model: PRO,
+        reasoningEffort: ReasoningEffortId(effort),
        messages: [
          ...ask('What is the weather in Paris right now? Use the get_weather tool.'),
          { role: 'assistant', content: first.message.content },
@@ -8,6 +8,7 @@ import LlmService, {
  LlmError,
  ProviderRequestId,
  QUOTA_EXCEEDED_CODE,
+  ReasoningEffortId,
  userAgent,
 } from '@deepseek-ai/dsh-llm'
 import { MAX_TIMER_DELAY_MS } from '@deepseek-ai/dsh-timeout'
@@ -120,6 +121,7 @@ describe('DeepSeekAdapter against a mock server', () => {
    // The wire request carried the auth header contents we configured.
    expect(server.requests[0]).toMatchObject({
      model: 'deepseek-v4-flash',
+      reasoning_effort: 'high',
      stream: true,
      stream_options: { include_usage: true },
    })
@@ -173,9 +175,45 @@ describe('DeepSeekAdapter against a mock server', () => {
    expect(server.headers[0]?.['x-deepseek-harness-compact']).toBe('1')
  })

-  it('forwards thinking config onto the wire', async () => {
+  it('switches dynamically from the configured high default through off to max', async () => {
+    const server = await mockServer([
+      { kind: 'sse', events: textEvents },
+      { kind: 'sse', events: textEvents },
+      { kind: 'sse', events: textEvents },
+    ])
+    const ctx = await harness(server.url, { thinking: 'enabled', reasoningEffort: 'high' })
+
+    await assemble(ctx,{
+      model: 'deepseek-v4-flash',
+      messages: [{ role: 'user', content: [{ type: 'text', text: 'hi' }] }],
+    })
+    await assemble(ctx,{
+      model: 'deepseek-v4-flash',
+      reasoningEffort: ReasoningEffortId('off'),
+      messages: [{ role: 'user', content: [{ type: 'text', text: 'hi again' }] }],
+    })
+    await assemble(ctx,{
+      model: 'deepseek-v4-flash',
+      reasoningEffort: ReasoningEffortId('max'),
+      messages: [{ role: 'user', content: [{ type: 'text', text: 'one more time' }] }],
+    })
+    expect(server.requests[0]).toMatchObject({
+      thinking: { type: 'enabled' },
+      reasoning_effort: 'high',
+    })
+    expect(server.requests[1]).toMatchObject({
+      thinking: { type: 'disabled' },
+    })
+    expect(server.requests[1]).not.toHaveProperty('reasoning_effort')
+    expect(server.requests[2]).toMatchObject({
+      thinking: { type: 'enabled' },
+      reasoning_effort: 'max',
+    })
+  })
+
+  it('publishes only off and omits the wire effort when thinking is disabled', async () => {
    const server = await mockServer([{ kind: 'sse', events: textEvents }])
-    const ctx = await harness(server.url, { thinking: 'disabled', reasoningEffort: 'high' })
+    const ctx = await harness(server.url, { thinking: 'disabled' })

    await assemble(ctx,{
      model: 'deepseek-v4-flash',
@@ -183,10 +221,52 @@ describe('DeepSeekAdapter against a mock server', () => {
    })
    expect(server.requests[0]).toMatchObject({
      thinking: { type: 'disabled' },
-      reasoning_effort: 'high',
    })
+    expect(server.requests[0]).not.toHaveProperty('reasoning_effort')
+    await expect(ctx.llm.resolveModelInfo('deepseek', 'deepseek-v4-flash'))
+      .resolves.toMatchObject({
+        reasoning: {
+          efforts: [{ id: ReasoningEffortId('off'), name: 'Off' }],
+          defaultEffort: ReasoningEffortId('off'),
+        },
+      })
  })

+  it('rejects a per-request effort before I/O when thinking is disabled', async () => {
+    const server = await mockServer([])
+    const ctx = await harness(server.url, { thinking: 'disabled' })
+
+    await expect(assemble(ctx, {
+      model: 'deepseek-v4-flash',
+      reasoningEffort: ReasoningEffortId('high'),
+      messages: [{ role: 'user', content: [{ type: 'text', text: 'hi' }] }],
+    })).rejects.toMatchObject({ code: 'UNSUPPORTED_REASONING_EFFORT' })
+    expect(server.requests).toHaveLength(0)
+  })
+
+  it.each(['high', 'max'])(
+    'rejects direct adapter effort %s before I/O when thinking is disabled',
+    async (effort) => {
+      const server = await mockServer([])
+      const adapter = new DeepSeekAdapter({
+        apiKey: 'test-key',
+        baseURL: server.url,
+        defaults: { thinking: 'disabled' },
+      })
+
+      const stream = adapter.stream({
+        provider: 'deepseek',
+        model: 'deepseek-v4-flash',
+        reasoningEffort: ReasoningEffortId(effort),
+        messages: [{ role: 'user', content: [{ type: 'text', text: 'hi' }] }],
+      })
+      await expect(async () => {
+        for await (const _chunk of stream) { /* drain */ }
+      }).rejects.toMatchObject({ code: 'UNSUPPORTED_REASONING_EFFORT' })
+      expect(server.requests).toHaveLength(0)
+    },
+  )
+
  it.each([
    [401, 'AUTH'],
    [403, 'AUTH'],
@@ -531,8 +611,100 @@ describe('plugin registration and config', () => {
      { provider: 'deepseek', id: 'deepseek-v4-flash', name: 'deepseek-v4-flash' },
      { provider: 'deepseek', id: 'deepseek-v4-pro', name: 'deepseek-v4-pro' },
    ])
-    await expect(ctx.llm.resolveModelContext('deepseek', 'deepseek-v4-flash'))
-      .resolves.toEqual({ contextWindow: 128_000 })
+    await expect(ctx.llm.resolveModelInfo('deepseek', 'deepseek-v4-flash'))
+      .resolves.toMatchObject({
+        provider: 'deepseek',
+        id: 'deepseek-v4-flash',
+        name: 'deepseek-v4-flash',
+        context: { contextWindow: 128_000 },
+        reasoning: {
+          efforts: [
+            { id: ReasoningEffortId('off'), name: 'Off' },
+            { id: ReasoningEffortId('high'), name: 'High' },
+            { id: ReasoningEffortId('max'), name: 'Max' },
+          ],
+          defaultEffort: ReasoningEffortId('high'),
+        },
+      })
+  })
+
+  it.each(['off', 'max'] as const)('uses the configured %s reasoning default', async (effort) => {
+    const ctx = new Context()
+    await ctx.plugin(LlmService)
+    await ctx.plugin(LlmDeepSeek, {
+      apiKey: 'k',
+      baseURL: 'http://127.0.0.1:1',
+      reasoningEffort: effort,
+    })
+    await expect(ctx.llm.resolveModelInfo('deepseek', 'unlisted-pass-through'))
+      .resolves.toMatchObject({
+        reasoning: {
+          efforts: [
+            { id: ReasoningEffortId('off'), name: 'Off' },
+            { id: ReasoningEffortId('high'), name: 'High' },
+            { id: ReasoningEffortId('max'), name: 'Max' },
+          ],
+          defaultEffort: ReasoningEffortId(effort),
+        },
+      })
+  })
+
+  it('accepts off as the default when thinking is deployment-disabled', async () => {
+    const ctx = new Context()
+    await ctx.plugin(LlmService)
+    await ctx.plugin(LlmDeepSeek, {
+      apiKey: 'k',
+      baseURL: 'http://127.0.0.1:1',
+      thinking: 'disabled',
+      reasoningEffort: 'off',
+    })
+    await expect(ctx.llm.resolveModelInfo('deepseek', 'unlisted-pass-through'))
+      .resolves.toMatchObject({
+        reasoning: {
+          efforts: [{ id: ReasoningEffortId('off'), name: 'Off' }],
+          defaultEffort: ReasoningEffortId('off'),
+        },
+      })
+  })
+
+  it.each(['high', 'max'] as const)(
+    'rejects configured reasoning effort %s when thinking is disabled',
+    async (reasoningEffort) => {
+      const ctx = new Context()
+      await ctx.plugin(LlmService)
+      await expect(ctx.plugin(LlmDeepSeek, {
+        apiKey: 'k',
+        baseURL: 'http://127.0.0.1:1',
+        thinking: 'disabled',
+        reasoningEffort,
+      })).rejects.toThrow(/only reasoningEffort "off"/)
+      expect(ctx.llm.listProviders()).toEqual([])
+    },
+  )
+
+  it.each(['high', 'max'] as const)(
+    'rejects disabled-thinking effort %s at the direct constructor boundary',
+    (reasoningEffort) => {
+      expect(() => new DeepSeekAdapter({
+        apiKey: 'k',
+        baseURL: 'http://127.0.0.1:1',
+        defaults: { thinking: 'disabled', reasoningEffort },
+      })).toThrow(/only reasoningEffort "off"/)
+    },
+  )
+
+  it('accepts disabled thinking with off at the direct constructor boundary', async () => {
+    const adapter = new DeepSeekAdapter({
+      apiKey: 'k',
+      baseURL: 'http://127.0.0.1:1',
+      defaults: { thinking: 'disabled', reasoningEffort: 'off' },
+    })
+    await expect(adapter.resolveModel('deepseek', 'pass-through')).resolves.toMatchObject({
+      reasoning: {
+        efforts: [{ id: ReasoningEffortId('off'), name: 'Off' }],
+        defaultEffort: ReasoningEffortId('off'),
+      },
+    })
  })

  it('uses the default model catalog when apply is called directly', async () => {
@@ -565,10 +737,15 @@ describe('plugin registration and config', () => {
      { provider: 'deepseek', id: 'private-fast', name: 'private-fast' },
      { provider: 'deepseek', id: 'private-reasoner', name: 'Private Reasoner', description: 'Higher reasoning budget' },
    ])
-    await expect(ctx.llm.resolveModelContext('deepseek', 'private-fast'))
-      .resolves.toEqual({ contextWindow: 32_000 })
-    await expect(ctx.llm.resolveModelContext('deepseek', 'arbitrary-unlisted'))
-      .resolves.toBeUndefined()
+    await expect(ctx.llm.resolveModelInfo('deepseek', 'private-fast'))
+      .resolves.toMatchObject({ context: { contextWindow: 32_000 } })
+    await expect(ctx.llm.resolveModelInfo('deepseek', 'private-reasoner'))
+      .resolves.toMatchObject({
+        name: 'Private Reasoner',
+        description: 'Higher reasoning budget',
+      })
+    await expect(ctx.llm.resolveModelInfo('deepseek', 'arbitrary-unlisted'))
+      .resolves.not.toHaveProperty('context')
  })

  it('uses exact model capacity before the adapter-wide default', async () => {
@@ -584,12 +761,12 @@ describe('plugin registration and config', () => {
      ],
    })

-    await expect(ctx.llm.resolveModelContext('deepseek', 'inherits-default'))
-      .resolves.toEqual({ contextWindow: 256_000 })
-    await expect(ctx.llm.resolveModelContext('deepseek', 'exact-override'))
-      .resolves.toEqual({ contextWindow: 64_000 })
-    await expect(ctx.llm.resolveModelContext('deepseek', 'unlisted-pass-through'))
-      .resolves.toEqual({ contextWindow: 256_000 })
+    await expect(ctx.llm.resolveModelInfo('deepseek', 'inherits-default'))
+      .resolves.toMatchObject({ context: { contextWindow: 256_000 } })
+    await expect(ctx.llm.resolveModelInfo('deepseek', 'exact-override'))
+      .resolves.toMatchObject({ context: { contextWindow: 64_000 } })
+    await expect(ctx.llm.resolveModelInfo('deepseek', 'unlisted-pass-through'))
+      .resolves.toMatchObject({ context: { contextWindow: 256_000 } })
  })

  it('allows an explicit empty model catalog', async () => {
@@ -1,5 +1,5 @@
 import { describe, expect, it } from 'vitest'
-import { CallId } from '@deepseek-ai/dsh-llm'
+import { CallId, ReasoningEffortId } from '@deepseek-ai/dsh-llm'
 import type { ContentBlock, GenerateOptions, Message } from '@deepseek-ai/dsh-llm'
 import { serializeMessages, serializeRequest } from '../src/serialize.ts'

@@ -174,15 +174,47 @@ describe('serializeRequest', () => {
    expect(wire.tools).toBeUndefined()
  })

-  it('applies adapter defaults for thinking and effort', () => {
-    const wire = serializeRequest(request({ messages: history }), { thinking: 'enabled', reasoningEffort: 'max' })
+  it('maps adapter-default thinking and the request reasoning effort', () => {
+    const wire = serializeRequest(
+      request({ messages: history, reasoningEffort: ReasoningEffortId('max') }),
+      { thinking: 'enabled', reasoningEffort: 'high' },
+    )
    expect(wire.thinking).toEqual({ type: 'enabled' })
    expect(wire.reasoning_effort).toBe('max')
  })

+  it('maps off to disabled thinking without a wire reasoning effort', () => {
+    const wire = serializeRequest(
+      request({ messages: history, reasoningEffort: ReasoningEffortId('off') }),
+      { thinking: 'enabled', reasoningEffort: 'max' },
+    )
+    expect(wire.thinking).toEqual({ type: 'disabled' })
+    expect(wire.reasoning_effort).toBeUndefined()
+  })
+
+  it('re-enables thinking when max overrides an off default', () => {
+    const wire = serializeRequest(
+      request({ messages: history, reasoningEffort: ReasoningEffortId('max') }),
+      { reasoningEffort: 'off' },
+    )
+    expect(wire.thinking).toEqual({ type: 'enabled' })
+    expect(wire.reasoning_effort).toBe('max')
+  })
+
+  it('rejects enabling thinking when the deployment is locked to disabled', () => {
+    expect(() => serializeRequest(
+      request({ messages: history, reasoningEffort: ReasoningEffortId('high') }),
+      { thinking: 'disabled' },
+    )).toThrow(expect.objectContaining({ code: 'UNSUPPORTED_REASONING_EFFORT' }))
+  })
+
  it('disables thinking for session-title requests without changing adapter defaults', () => {
    const wire = serializeRequest(
-      request({ messages: history, purpose: 'session-title' }),
+      request({
+        messages: history,
+        purpose: 'session-title',
+        reasoningEffort: ReasoningEffortId('max'),
+      }),
      { thinking: 'enabled', reasoningEffort: 'max' },
    )
    expect(wire.thinking).toEqual({ type: 'disabled' })
@@ -194,6 +226,19 @@ describe('serializeRequest', () => {
    expect(wire.thinking).toBeUndefined()
    expect(wire.reasoning_effort).toBeUndefined()
  })
+
+  it('preserves an explicit enabled default without inventing a wire effort', () => {
+    const wire = serializeRequest(request({ messages: history }), { thinking: 'enabled' })
+    expect(wire.thinking).toEqual({ type: 'enabled' })
+    expect(wire.reasoning_effort).toBeUndefined()
+  })
+
+  it('rejects an effort outside the DeepSeek capability', () => {
+    expect(() => serializeRequest(request({
+      messages: history,
+      reasoningEffort: ReasoningEffortId('medium'),
+    }))).toThrow(expect.objectContaining({ code: 'UNSUPPORTED_REASONING_EFFORT' }))
+  })
 })

 describe('review fixes: assistant content shapes', () => {
@@ -1,6 +1,6 @@
 # Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
 # side as of the last confirmed-consistent state. Both languages carry equal authority;
 # after editing either side, bring the other along and re-record with:
-#   pnpm run verify-translation-pairing --write
-README.md: 8a5c955edf9418352a6916e17766b3c06b62c9ba
-README.zh.md: 2b953e2aa30da29b7aa307abe3f92c14fb0906d6
+#   pnpm run verify-translation-pairing --write packages/llm/llm-pi-ai/README.md
+README.md: 24a4762342f1ce8e71d1a5b1733fe02257823cb8
+README.zh.md: 557dc892c2eac10edc4e2fe4a0a142024942b1a9
@@ -30,7 +30,9 @@ Configure credentials and deployment-specific transport settings per provider. O

 Each provider name must exist in pi-ai's installed catalog and may appear only once in this plugin instance. Registration with `ctx.llm` is atomic: a collision with any provider route already owned by another adapter fails plugin loading without registering the remaining routes. Model ids are not lifecycle config; an unknown model fails before any provider request with `LlmError('UNKNOWN_MODEL')`.

-The adapter exposes each configured provider's installed pi-ai models through `ctx.llm.listModels(provider)`. This is provider-neutral selector metadata derived from `getModels(provider)`; request-time resolution still performs the authoritative catalog lookup, so discovery does not create a second model registry. `ctx.llm.resolveModelContext(provider, model)` performs the same exact descriptor lookup and returns its context window, keeping capacity metadata on the route-owning adapter rather than a consuming plugin.
+The adapter exposes each configured provider's installed pi-ai models through `ctx.llm.listModels(provider)`. This is provider-neutral selector metadata derived from `getModels(provider)`; request-time resolution still performs the authoritative catalog lookup, so discovery does not create a second model registry. `ctx.llm.resolveModelInfo(provider, model)` performs that exact descriptor lookup once and returns its identity, context window, and selectable thinking levels, keeping authoritative metadata on the route-owning adapter rather than its consumers.
+
+The `reasoning.efforts` list is pi-ai's ordered `getSupportedThinkingLevels(model)` result without filtering or normalization, including `off` and the model-specific availability of `xhigh` or `max`. The Harness exposes each canonical pi-ai level as an opaque ID; provider/model wire spellings remain inside pi-ai's `thinkingLevelMap`. A non-reasoning model therefore exposes pi-ai's `off` choice. The profile `reasoning` value, including `off`, is the deployment default when configured; omitting it preserves the provider default. Per-request `GenerateOptions.reasoningEffort` takes precedence, and any explicit value absent from the exact model capability fails with `UNSUPPORTED_REASONING_EFFORT` before network I/O instead of being clamped. pi-ai's common stream options represent `off` by omitting `reasoning`.

 Supported profile fields are `provider`, `apiKey`, `baseURL`, `headers`, `reasoning`, `thinkingBudgets`, `cacheRetention`, `transport`, `timeoutMs`, `websocketConnectTimeoutMs`, and `streamIdleTimeoutMs`. The stream-idle interval is a positive finite Node timer delay, defaults to five minutes, and covers only an outstanding provider read, not consumer think time. Harness app attribution wins a conflicting configured header name.

@@ -49,6 +51,7 @@ If a listener rewrites assembled assistant content, the loop drops replay state
 - pi-ai tool-call arguments are parsed objects; the harness stores raw JSON strings. The adapter parses input and re-stringifies output.
 - pi-ai reports failures as in-stream error events; these map to `finish {kind:'error'|'aborted', failure}` chunks. Provider-specific error text distinguishes terminal `QUOTA` from transient `RATE_LIMIT`, while text and usage signals evaluated against the resolved model's context window normalize overflow to `CONTEXT_WINDOW_EXCEEDED`. A terminal `stop` whose message carries no content blocks maps to a `finish {kind:'error'}` with code `EMPTY_RESPONSE` (retried by default policy) instead of a successful empty message.
 - pi-ai folds reasoning tokens into output usage; there is no separate reasoning count to map.
+- pi-ai's `off` thinking level crosses the Harness capability seam unchanged and becomes an omitted pi-ai common `reasoning` option at dispatch.
 - `GenerateOptions.stop` is rejected with `UNSUPPORTED_OPTION` because pi-ai's common streaming surface cannot guarantee it across providers.

 ## App attribution
@@ -30,7 +30,9 @@

 每个提供方名称必须存在于 pi-ai 已安装 catalog 中，且在此插件实例中最多出现一次。向 `ctx.llm` 注册具有原子性：如果与另一适配器已拥有的任何提供方路由冲突，插件会加载失败，不注册剩余路由。模型 id 不是生命周期配置；未知模型会在发起任何提供方请求前以 `LlmError('UNKNOWN_MODEL')` 失败。

-适配器通过 `ctx.llm.listModels(provider)` 公开每个已配置提供方已安装的 pi-ai 模型。这是从 `getModels(provider)` 派生的提供方无关 selector 元数据；请求时解析仍会执行权威 catalog 查找，因此发现不会创建第二个模型注册表。`ctx.llm.resolveModelContext(provider, model)` 执行相同的精确 descriptor 查找并返回其上下文窗口，让容量元数据保留在拥有路由的适配器上，而非消费插件上。
+适配器通过 `ctx.llm.listModels(provider)` 公开每个已配置提供方已安装的 pi-ai 模型。这是从 `getModels(provider)` 派生的提供方无关 selector 元数据；请求时解析仍会执行权威 catalog 查找，因此发现不会创建第二个模型注册表。`ctx.llm.resolveModelInfo(provider, model)` 会执行一次精确 descriptor 查找，并返回其身份、上下文窗口和可选思考级别，让权威元数据保留在拥有路由的适配器上，而非消费方。
+
+`reasoning.efforts` 列表是 pi-ai 有序的 `getSupportedThinkingLevels(model)` 结果，不经筛选或规范化，其中包括 `off`，以及模型对 `xhigh` 或 `max` 的特定支持。Harness 将每个规范 pi-ai 级别公开为不透明 ID；提供方／模型协议拼写仍保留在 pi-ai 的 `thinkingLevelMap` 中。因此，不具备推理（reasoning）能力的模型也会公开 pi-ai 的 `off` 选项。配置 profile 的 `reasoning` 值（包括 `off`）在存在时是部署默认值；省略它会保留提供方默认值。每次请求的 `GenerateOptions.reasoningEffort` 优先；任何未出现在确切模型能力中的显式值都会在网络 I/O 前以 `UNSUPPORTED_REASONING_EFFORT` 失败，而不会被自动调整。pi-ai 的通用流选项通过省略 `reasoning` 表示 `off`。

 受支持的 profile 字段是 `provider`、`apiKey`、`baseURL`、`headers`、`reasoning`、`thinkingBudgets`、`cacheRetention`、`transport`、`timeoutMs`、`websocketConnectTimeoutMs` 和 `streamIdleTimeoutMs`。流 idle 间隔必须是正的有限 Node 定时器延迟，默认为五分钟，且只覆盖未完成提供方读取，不包括消费方思考时间。Harness 应用归因会胜过名称冲突的已配置标头。

@@ -49,6 +51,7 @@
 - pi-ai 工具调用参数是已解析对象；harness 存储原始 JSON 字符串。适配器会解析输入，并将输出重新字符串化。
 - pi-ai 将失败报告为流内错误事件；它们会映射到 `finish {kind:'error'|'aborted', failure}` chunk。提供方特定错误文本会区分终端 `QUOTA` 与短暂 `RATE_LIMIT`，针对已解析模型上下文窗口评估的文本与 usage 信号则将溢出规范化为 `CONTEXT_WINDOW_EXCEEDED`。携带零个内容块消息的终止 `stop` 会映射为 `finish {kind:'error'}`，code 为 `EMPTY_RESPONSE`（默认策略会重试），而非成功空消息。
 - pi-ai 将 reasoning token 折叠到输出 usage 中；没有可映射的独立 reasoning 计数。
+- pi-ai 的 `off` thinking 级别会原样穿过 Harness 能力 seam，并在分派时变为被省略的 pi-ai 通用 `reasoning` 选项。
 - `GenerateOptions.stop` 会以 `UNSUPPORTED_OPTION` 被拒绝，因为 pi-ai 的通用流式输出表层无法保证所有提供方都支持它。

 ## 应用归因
@@ -7,13 +7,27 @@
 import { streamSimple } from '@earendil-works/pi-ai/compat'
 import { getBuiltinModels } from '@earendil-works/pi-ai/providers/all'
 import type { BuiltinProvider } from '@earendil-works/pi-ai/providers/all'
+import { getSupportedThinkingLevels } from '@earendil-works/pi-ai'
 import type {
  Api,
  Model,
+  ModelThinkingLevel,
  SimpleStreamOptions,
+  ThinkingLevel,
 } from '@earendil-works/pi-ai'
-import { attributionHeaders, LlmAdapter, LlmError } from '@deepseek-ai/dsh-llm'
-import type { GenerateOptions, LlmModelContext, LlmModelInfo, StreamChunk } from '@deepseek-ai/dsh-llm'
+import {
+  attributionHeaders,
+  LlmAdapter,
+  LlmError,
+  ReasoningEffortId,
+} from '@deepseek-ai/dsh-llm'
+import type {
+  GenerateOptions,
+  LlmModelInfo,
+  LlmResolvedModelInfo,
+  ReasoningEffortId as ReasoningEffortIdType,
+  StreamChunk,
+} from '@deepseek-ai/dsh-llm'
 import { idleWatchdog, timeoutOf } from '@deepseek-ai/dsh-timeout'
 import { resolveProfiles } from './config.ts'
 import type { PiAiProviderProfile, ResolvedPiAiProviderProfile } from './config.ts'
@@ -30,7 +44,7 @@ export interface PiAiAdapterOptions {
 * Resolve a catalog model dynamically and apply only the configured endpoint
 * override, preserving the catalog's API/capability/compatibility metadata.
 */
-function resolveModel(profile: PiAiProviderProfile, modelId: string): Model<Api> {
+function resolvePiModel(profile: PiAiProviderProfile, modelId: string): Model<Api> {
  const model = getBuiltinModels(profile.provider as BuiltinProvider).find(candidate => candidate.id === modelId) as Model<Api> | undefined
  if (model === undefined) {
    throw new LlmError(`pi-ai provider "${profile.provider}" has no catalog model "${modelId}"`, 'UNKNOWN_MODEL')
@@ -39,10 +53,14 @@ function resolveModel(profile: PiAiProviderProfile, modelId: string): Model<Api>
 }

 /** Copy profile stream knobs into pi-ai's common option vocabulary. */
-function profileOptions(profile: PiAiProviderProfile): SimpleStreamOptions {
+function profileOptions(
+  profile: PiAiProviderProfile,
+  reasoning: ModelThinkingLevel | undefined,
+): SimpleStreamOptions {
+  const enabledReasoning: ThinkingLevel | undefined = reasoning === 'off' ? undefined : reasoning
  return {
    ...profile.apiKey === undefined ? {} : { apiKey: profile.apiKey },
-    ...profile.reasoning === undefined ? {} : { reasoning: profile.reasoning },
+    ...enabledReasoning === undefined ? {} : { reasoning: enabledReasoning },
    ...profile.thinkingBudgets === undefined ? {} : { thinkingBudgets: profile.thinkingBudgets },
    ...profile.cacheRetention === undefined ? {} : { cacheRetention: profile.cacheRetention },
    ...profile.transport === undefined ? {} : { transport: profile.transport },
@@ -53,6 +71,20 @@ function profileOptions(profile: PiAiProviderProfile): SimpleStreamOptions {
  }
 }

+/** Validate an explicit Harness/profile effort without invoking pi-ai's clamp. */
+function resolveReasoningLevel(
+  model: Model<Api>,
+  effort: ReasoningEffortIdType | ModelThinkingLevel | undefined,
+): ModelThinkingLevel | undefined {
+  if (effort === undefined) return undefined
+  const supported = getSupportedThinkingLevels(model)
+  if (supported.some(level => level === effort)) return effort as ModelThinkingLevel
+  throw new LlmError(
+    `pi-ai provider "${model.provider}" model "${model.id}" does not support reasoning effort "${effort}"`,
+    'UNSUPPORTED_REASONING_EFFORT',
+  )
+}
+
 /** Merge deployment headers while removing case-insensitive attribution collisions. */
 function requestHeaders(headers: Readonly<Record<string, string>> | undefined): Record<string, string> {
  const attribution = attributionHeaders()
@@ -87,10 +119,11 @@ export class PiAiAdapter extends LlmAdapter {
    })))
  }

-  override resolveModelContext(
+  override resolveModel(
    provider: string,
    model: string,
-  ): Promise<LlmModelContext | undefined> {
+    _signal?: AbortSignal,
+  ): Promise<LlmResolvedModelInfo> {
    const profile = this.profiles.get(provider)
    if (profile === undefined) {
      return Promise.reject(new LlmError(
@@ -98,9 +131,26 @@ export class PiAiAdapter extends LlmAdapter {
        'NO_ADAPTER',
      ))
    }
-    return Promise.resolve().then(() => ({
-      contextWindow: resolveModel(profile, model).contextWindow,
-    }))
+    return Promise.resolve().then(() => {
+      const resolvedModel = resolvePiModel(profile, model)
+      const levels = getSupportedThinkingLevels(resolvedModel)
+      const defaultLevel = resolveReasoningLevel(resolvedModel, profile.reasoning)
+      return {
+        provider,
+        id: model,
+        name: resolvedModel.name,
+        context: { contextWindow: resolvedModel.contextWindow },
+        reasoning: {
+          efforts: levels.map(level => ({
+            id: ReasoningEffortId(level),
+            name: `${level.charAt(0).toUpperCase()}${level.slice(1)}`,
+          })),
+          ...defaultLevel === undefined
+            ? {}
+            : { defaultEffort: ReasoningEffortId(defaultLevel) },
+        },
+      }
+    })
  }

  async * stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
@@ -111,7 +161,11 @@ export class PiAiAdapter extends LlmAdapter {
    if (profile === undefined) {
      throw new LlmError(`pi-ai adapter does not own provider "${options.provider}"`, 'NO_ADAPTER')
    }
-    const model = resolveModel(profile, options.model)
+    const model = resolvePiModel(profile, options.model)
+    const reasoning = resolveReasoningLevel(
+      model,
+      options.reasoningEffort ?? profile.reasoning,
+    )

    const consumer = new AbortController()
    const upstream = options.signal === undefined
@@ -122,7 +176,7 @@ export class PiAiAdapter extends LlmAdapter {

    try {
      const events = streamSimple(model, toPiContext(options), {
-        ...profileOptions(profile),
+        ...profileOptions(profile, reasoning),
        ...options.temperature === undefined ? {} : { temperature: options.temperature },
        ...options.maxTokens === undefined ? {} : { maxTokens: options.maxTokens },
        ...options.sessionId === undefined ? {} : { sessionId: String(options.sessionId) },
@@ -5,7 +5,7 @@
 */

 import { getBuiltinProviders } from '@earendil-works/pi-ai/providers/all'
-import type { CacheRetention, ThinkingBudgets, ThinkingLevel, Transport } from '@earendil-works/pi-ai'
+import type { CacheRetention, ModelThinkingLevel, ThinkingBudgets, Transport } from '@earendil-works/pi-ai'
 import z from 'schemastery'
 import { MAX_TIMER_DELAY_MS } from '@deepseek-ai/dsh-timeout'

@@ -23,7 +23,7 @@ export interface PiAiProviderProfile {
  /** Provider request headers; Harness attribution wins reserved names. */
  headers?: Record<string, string>
  /** Provider-neutral pi-ai reasoning level. */
-  reasoning?: ThinkingLevel
+  reasoning?: ModelThinkingLevel
  /** Token budgets used by reasoning providers that support them. */
  thinkingBudgets?: ThinkingBudgets
  /** Prompt-cache retention preference. */
@@ -62,7 +62,7 @@ const profile = z.object({
  apiKey: z.string(),
  baseURL: z.string(),
  headers: z.dict(z.string()),
-  reasoning: z.union(['minimal', 'low', 'medium', 'high', 'xhigh', 'max']),
+  reasoning: z.union(['off', 'minimal', 'low', 'medium', 'high', 'xhigh', 'max']),
  thinkingBudgets,
  cacheRetention: z.union(['none', 'short', 'long']),
  transport: z.union(['sse', 'websocket', 'websocket-cached', 'auto']),
@@ -1,6 +1,6 @@
 import { afterEach, describe, expect, it } from 'vitest'
 import { Context } from 'cordis'
-import LlmService, { CallId } from '@deepseek-ai/dsh-llm'
+import LlmService, { CallId, ReasoningEffortId } from '@deepseek-ai/dsh-llm'
 import type { Message, ToolSchema } from '@deepseek-ai/dsh-llm'
 import * as LlmPiAi from '@deepseek-ai/dsh-llm-pi-ai'
 import type { PiAiProviderProfile } from '@deepseek-ai/dsh-llm-pi-ai'
@@ -9,7 +9,7 @@ import { assemble, type AssembledResult } from './assemble.ts'

 /**
 * Real-API e2e for the pi-ai-backed adapter: V4 Flash + V4 Pro with provider
- * defaults and representative high/xhigh reasoning. Mirrors the native
+ * defaults and representative off/high/max reasoning. Mirrors the native
 * adapter's StreamChunk contract and exercises a replayed tool follow-up.
 * Key-gated.
 */
@@ -74,10 +74,24 @@ describe.skipIf(!process.env.DEEPSEEK_API_KEY)('llm-pi-ai e2e (real API)', () =>
    expect(textOf(result).toLowerCase()).toContain('pong')
  })

+  it('flash + reasoning off: plain text without reasoning blocks', async () => {
+    const ctx = await harness(FLASH)
+    const result = await assemble(ctx,{
+      model: FLASH,
+      reasoningEffort: ReasoningEffortId('off'),
+      messages: ask('Reply with exactly the word: pong'),
+      maxTokens: 50,
+    })
+    expect(result.finish.kind).toBe('stop')
+    expect(result.message.content.some(block => block.type === 'reasoning')).toBe(false)
+    expect(textOf(result).toLowerCase()).toContain('pong')
+  })
+
  it.each([FLASH, PRO])('%s + reasoning high: reasoning blocks present', async (model) => {
-    const ctx = await harness(model, { reasoning: 'high' })
+    const ctx = await harness(model)
    const result = await assemble(ctx,{
      model,
+      reasoningEffort: ReasoningEffortId('high'),
      messages: ask('Which is larger, 9.11 or 9.8? Answer with just the number.'),
      maxTokens: 2000,
    })
@@ -86,11 +100,12 @@ describe.skipIf(!process.env.DEEPSEEK_API_KEY)('llm-pi-ai e2e (real API)', () =>
    expect(textOf(result)).toContain('9.8')
  })

-  it('pro + reasoning xhigh (wire max): tool-call round trip', async () => {
-    const ctx = await harness(PRO, { reasoning: 'xhigh' })
+  it('pro + reasoning max: tool-call round trip', async () => {
+    const ctx = await harness(PRO)

    const first = await assemble(ctx,{
      model: PRO,
+      reasoningEffort: ReasoningEffortId('max'),
      messages: ask('What is the weather in Paris right now? Use the get_weather tool.'),
      tools: [weatherTool],
      maxTokens: 2000,
@@ -103,6 +118,7 @@ describe.skipIf(!process.env.DEEPSEEK_API_KEY)('llm-pi-ai e2e (real API)', () =>

    const second = await assemble(ctx,{
      model: PRO,
+      reasoningEffort: ReasoningEffortId('max'),
      messages: [
        ...ask('What is the weather in Paris right now? Use the get_weather tool.'),
        first.message,
@@ -2,7 +2,7 @@ import { createServer } from 'node:http'
 import type { IncomingMessage, Server, ServerResponse } from 'node:http'
 import { afterEach, describe, expect, it, vi } from 'vitest'
 import { Context } from 'cordis'
-import LlmService, { CONTEXT_WINDOW_EXCEEDED_CODE, LlmError, userAgent } from '@deepseek-ai/dsh-llm'
+import LlmService, { CONTEXT_WINDOW_EXCEEDED_CODE, LlmError, ReasoningEffortId, userAgent } from '@deepseek-ai/dsh-llm'
 import * as LlmPiAi from '@deepseek-ai/dsh-llm-pi-ai'
 import { PiAiAdapter } from '@deepseek-ai/dsh-llm-pi-ai'
 import { MAX_TIMER_DELAY_MS } from '@deepseek-ai/dsh-timeout'
@@ -124,7 +124,7 @@ describe('PiAiAdapter provider routing', () => {
  it('forwards common stream options and profile reasoning', async () => {
    const server = await mockServer([{ events: textEvents }])
    const ctx = await harness(server.url, {
-      reasoning: 'xhigh',
+      reasoning: 'max',
      cacheRetention: 'none',
      transport: 'sse',
      timeoutMs: 5000,
@@ -148,6 +148,33 @@ describe('PiAiAdapter provider routing', () => {
    })
  })

+  it('uses a dynamic request effort and rejects unsupported efforts before network I/O', async () => {
+    const server = await mockServer([{ events: textEvents }, { events: textEvents }])
+    const ctx = await harness(server.url, { reasoning: 'max' })
+
+    await assemble(ctx, {
+      model: 'deepseek-v4-flash',
+      reasoningEffort: ReasoningEffortId('high'),
+      messages: [],
+    })
+    expect(server.requests[0]).toMatchObject({ reasoning_effort: 'high' })
+
+    await assemble(ctx, {
+      model: 'deepseek-v4-flash',
+      reasoningEffort: ReasoningEffortId('off'),
+      messages: [],
+    })
+    expect(server.requests[1]).toMatchObject({ thinking: { type: 'disabled' } })
+    expect(server.requests[1]).not.toHaveProperty('reasoning_effort')
+
+    await expect(assemble(ctx, {
+      model: 'deepseek-v4-flash',
+      reasoningEffort: ReasoningEffortId('xhigh'),
+      messages: [],
+    })).rejects.toMatchObject({ code: 'UNSUPPORTED_REASONING_EFFORT' })
+    expect(server.requests).toHaveLength(2)
+  })
+
  it('preserves omitted profile options when constructing the adapter directly', async () => {
    const server = await mockServer([{ events: textEvents }])
    const ctx = new Context()
@@ -322,9 +349,69 @@ describe('provider profile lifecycle', () => {
      provider: 'openai', id: 'gpt-4.1', name: 'GPT-4.1',
    })
    expect(models.every(model => model.provider === 'openai')).toBe(true)
-    const context = await ctx.llm.resolveModelContext('openai', 'gpt-4.1')
-    expect(context).toBeDefined()
-    expect(typeof context?.contextWindow).toBe('number')
+    const info = await ctx.llm.resolveModelInfo('openai', 'gpt-4.1')
+    expect(typeof info.context?.contextWindow).toBe('number')
+  })
+
+  it('exposes pi-ai model thinking levels verbatim without inventing a provider default', async () => {
+    const ctx = new Context()
+    await ctx.plugin(LlmService)
+    await ctx.plugin(LlmPiAi, {
+      providers: [{ provider: 'deepseek' }, { provider: 'openai' }],
+    })
+
+    await expect(ctx.llm.resolveModelInfo('deepseek', 'deepseek-v4-flash'))
+      .resolves.toMatchObject({
+        reasoning: {
+          efforts: [
+            { id: ReasoningEffortId('off'), name: 'Off' },
+            { id: ReasoningEffortId('high'), name: 'High' },
+            { id: ReasoningEffortId('max'), name: 'Max' },
+          ],
+        },
+      })
+    const extended = await ctx.llm.resolveModelInfo('openai', 'gpt-5.6-sol')
+    expect(extended.reasoning?.efforts.map(effort => effort.id)).toEqual([
+      ReasoningEffortId('off'),
+      ReasoningEffortId('minimal'),
+      ReasoningEffortId('low'),
+      ReasoningEffortId('medium'),
+      ReasoningEffortId('high'),
+      ReasoningEffortId('xhigh'),
+      ReasoningEffortId('max'),
+    ])
+    await expect(ctx.llm.resolveModelInfo('openai', 'gpt-4.1'))
+      .resolves.toMatchObject({
+        reasoning: {
+          efforts: [{ id: ReasoningEffortId('off'), name: 'Off' }],
+        },
+      })
+  })
+
+  it('uses a supported profile reasoning value as the model default and rejects an unsupported one', async () => {
+    const supported = new Context()
+    await supported.plugin(LlmService)
+    await supported.plugin(LlmPiAi, {
+      providers: [{ provider: 'deepseek', reasoning: 'max' }],
+    })
+    await expect(supported.llm.resolveModelInfo('deepseek', 'deepseek-v4-flash'))
+      .resolves.toMatchObject({ reasoning: { defaultEffort: ReasoningEffortId('max') } })
+
+    const unsupported = new Context()
+    await unsupported.plugin(LlmService)
+    await unsupported.plugin(LlmPiAi, {
+      providers: [{ provider: 'deepseek', reasoning: 'medium' }],
+    })
+    await expect(unsupported.llm.resolveModelInfo('deepseek', 'deepseek-v4-flash'))
+      .rejects.toMatchObject({ code: 'UNSUPPORTED_REASONING_EFFORT' })
+
+    const disabled = new Context()
+    await disabled.plugin(LlmService)
+    await disabled.plugin(LlmPiAi, {
+      providers: [{ provider: 'deepseek', reasoning: 'off' }],
+    })
+    await expect(disabled.llm.resolveModelInfo('deepseek', 'deepseek-v4-flash'))
+      .resolves.toMatchObject({ reasoning: { defaultEffort: ReasoningEffortId('off') } })
  })

  it('accepts absent credentials for pi-ai ambient authentication', async () => {
@@ -376,9 +463,9 @@ describe('provider profile lifecycle', () => {
  it('constructs the adapter directly and rejects routes it does not own', async () => {
    const adapter = new PiAiAdapter({ profiles: [{ provider: 'openai' }] })
    await expect(adapter.listModels('anthropic')).rejects.toMatchObject({ code: 'NO_ADAPTER' })
-    await expect(adapter.resolveModelContext('anthropic', 'claude-sonnet-4'))
+    await expect(adapter.resolveModel('anthropic', 'claude-sonnet-4'))
      .rejects.toMatchObject({ code: 'NO_ADAPTER' })
-    await expect(adapter.resolveModelContext('openai', 'not-a-catalog-model'))
+    await expect(adapter.resolveModel('openai', 'not-a-catalog-model'))
      .rejects.toMatchObject({ code: 'UNKNOWN_MODEL' })
    await expect((async () => {
      for await (const _chunk of adapter.stream({ provider: 'anthropic', model: 'claude-sonnet-4', messages: [] })) { /* drain */ }
@@ -1,6 +1,6 @@
 # Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
 # side as of the last confirmed-consistent state. Both languages carry equal authority;
 # after editing either side, bring the other along and re-record with:
-#   pnpm run verify-translation-pairing --write
-README.md: 981f7d58802d2ff18633b09b5a4ec8a7b1bf3383
-README.zh.md: 0a6535f41adb8ec90d02dbb56aec257853a19083
+#   pnpm run verify-translation-pairing --write packages/llm/llm/README.md
+README.md: e11b997cddaacaea7fec00f73b7f5b47c60a943d
+README.zh.md: e074d7f764c130b4ea3df343f566b27ef3a5dd3d
@@ -13,14 +13,18 @@ An adapter registry plus a single streaming call surface, interceptable via a wa
 - `ctx.llm.registerAdapter(providers: string[], adapter: LlmAdapter): () => void` Register one adapter instance for the given provider routes. Registration is all-or-nothing, and is disposed with the calling fiber.
 - `ctx.llm.listProviders(): LlmProviderInfo[]` Describe registered provider routes in registration order.
 - `ctx.llm.listModels(provider: string): Promise<LlmModelInfo[]>` Discover the models one registered provider currently advertises.
- `ctx.llm.resolveModelContext(provider: string, model: string): Promise<LlmModelContext | undefined>` Resolve authoritative context capacity for one exact route from its owning adapter.
+- `ctx.llm.resolveModelInfo(provider: string, model: string, signal?: AbortSignal): Promise<LlmResolvedModelInfo>` Resolve validated exact-model identity plus available context and reasoning metadata from the owning adapter, with optional cancellation for asynchronous adapters.
+- `ctx.llm.resolveCallConfig(config: LlmCallConfig, signal?: AbortSignal): Promise<LlmCallConfig>` Validate an explicit effort and materialize an adapter-configured default without clamping.
+- `ctx.llm.prepareCall(config: LlmCallConfig, signal?: AbortSignal): Promise<PreparedLlmCall>` Resolve a config and capture its current adapter registration as one cancellable, one-shot call.
 - `ctx.llm.stream(options: GenerateOptions): AsyncIterable<StreamChunk>` Stream one model call as raw chunks (token-level deltas). Consumers assemble the chunks into blocks/messages with `BlockAssembler`.

 `LlmService` preserves errors from final adapter selection, synchronous dispatch, iterator construction, and iteration, and binds their provenance to the exact stream handle returned for that model call. `isLlmAdapterFailure(stream, value)` reports only errors from that call's final adapter boundary; `llmFailureOf(stream, value)` returns the adjacent immutable `LlmFailure`. Nested model calls, `llm/stream` middleware, and downstream consumer failures remain unclassified for the outer call. Classification never replaces or mutates the adapter's original coded `Error`.

 Provider and model metadata is a discovery surface, not a routing whitelist. `registerAdapter()` still owns provider exclusivity, while an adapter may accept model ids absent from `listModels()`; consumers must not reject a request because its model is unlisted. Returned metadata is detached and invalid or duplicate adapter entries fail with `INVALID_ADAPTER` or `INVALID_CATALOG`.

-Context capacity is a separate correctness query, not a catalog decoration or global LLM setting. `resolveModelContext()` asks the adapter that owns the exact provider/model route; an adapter can describe an unlisted dynamic model, and `undefined` means only that capacity is unavailable. Invalid returned capacity fails with `INVALID_MODEL_CONTEXT`.
+Exact-model metadata is a separate correctness query, not a catalog decoration or global LLM setting. `resolveModelInfo()` asks the adapter that owns the exact provider/model route once; an adapter can describe an unlisted dynamic model, and absent `context` or `reasoning` fields mean only that those capabilities are unavailable. Invalid identity, context, or reasoning metadata fails with `INVALID_MODEL_INFO`, `INVALID_MODEL_CONTEXT`, or `INVALID_MODEL_REASONING`.
+
+Reasoning identifiers are opaque adapter-owned strings rather than a core enum. An adapter publishes its ordered selectable list, including an `off` id when that model's capability API exposes one. `resolveCallConfig()` accepts only an exact advertised identifier, materializes `defaultEffort` when present, and otherwise preserves the provider default. Asynchronous model resolvers receive the caller's signal and must settle promptly after cancellation. `prepareCall()` additionally retains the exact adapter registration through header logging and terminal dispatch, so HMR cannot combine one adapter's capability result with another adapter's request; reusing its one-shot handle or changing its call-config fields fails with `INVALID_PREPARED_CALL`. An unsupported explicit or configured effort fails with `UNSUPPORTED_REASONING_EFFORT` before provider I/O.

 ### Events

@@ -30,7 +34,7 @@ Context capacity is a separate correctness query, not a catalog decoration or gl

 ### Extension points

- Subclass `LlmAdapter` and call `ctx.llm.registerAdapter(providers, adapter)` to add one or more provider routes. `GenerateOptions.provider` selects the adapter; `GenerateOptions.model` is adapter-owned and may be resolved dynamically. Override `providerInfo()` and asynchronous `listModels()` to expose selector metadata, and `resolveModelContext()` when exact capacity is known; the defaults use the route id as its name, advertise no models, and return no capacity.
+- Subclass `LlmAdapter` and call `ctx.llm.registerAdapter(providers, adapter)` to add one or more provider routes. `GenerateOptions.provider` selects the adapter; `GenerateOptions.model` is adapter-owned and may be resolved dynamically. Override `providerInfo()` and asynchronous `listModels()` to expose selector metadata, then implement `resolveModel()` when exact identity, capacity, or selectable reasoning efforts are available; an asynchronous resolver must honor its optional cancellation signal. The defaults use the route and model ids as names, advertise no models, and return no capacity or reasoning metadata.
 - Wrap `llm/stream` via `ctx.on()` waterfall listeners for caching, logging, or routing. A wrapper that retries after emitting a chunk has no durable attempt boundary; shipped agent retry policy therefore uses `agent/request-error` instead.

 ### Content-block vocabulary (`types.ts`)
@@ -41,7 +45,7 @@ Streaming is a raw chunk protocol (`block-start`, `text-delta`, `reasoning-delta

 ### Call configuration (`call-config.ts`)

-`LlmCallConfig` is the provider + model + sampling scalars of one conversation's requests (`provider`, `model`, `temperature`, `maxTokens`, `stop` — each mapping 1:1 onto the same-named `GenerateOptions` field). It is per-conversation state recorded in the session log as part of the request header (see the dsh-session `request/header` events), never a silently-adjustable per-call knob: the `agent/request` waterfall proposes a replacement and the loop logs a real change. `callConfigEquals(a, b)` is the field-wise real-change detector; `deepFreeze(value)` is the ownership helper the loop applies to every built request before dispatch (`llm/stream` listeners and adapters read, never rewrite). `markAgentLoopRequest()` gives that exact object process-local loop provenance, and `isAgentLoopRequest()` lets observers distinguish it from independently logged auxiliary calls that may also be frozen and session-associated. `GenerateOptions.purpose` classifies logged auxiliary compaction and session-title calls so adapters can apply purpose-specific transport policy without changing ordinary conversation requests.
+`LlmCallConfig` is the provider, model, optional adapter-owned reasoning effort, and sampling scalars of one conversation's requests (`provider`, `model`, `reasoningEffort`, `temperature`, `maxTokens`, `stop` — each mapping 1:1 onto the same-named `GenerateOptions` field). It is per-conversation state recorded in the session log as part of the request header (see the dsh-session `request/header` events), never a silently-adjustable per-call knob: the `agent/request` waterfall proposes a replacement, `prepareCall()` validates and defaults it under the turn signal, and the loop logs the effective value before using the prepared call's registration-bound stream. `callConfigEquals(a, b)` is the field-wise real-change detector; `deepFreeze(value)` is the ownership helper the loop applies to every built request before dispatch (`llm/stream` listeners and adapters read, never rewrite). `markAgentLoopRequest()` gives that exact object process-local loop provenance, and `isAgentLoopRequest()` lets observers distinguish it from independently logged auxiliary calls that may also be frozen and session-associated. `GenerateOptions.purpose` classifies logged auxiliary compaction and session-title calls so adapters can apply purpose-specific transport policy without changing ordinary conversation requests.

 ### App attribution (`attribution.ts`)

@@ -64,7 +68,7 @@ Two adapters implement `LlmAdapter` on different internals: [`@deepseek-ai/dsh-l

 ## Model Experience

-None, as this adapter registry forwards an already assembled request without adding or changing any model-bound text, schema, or message.
+None, as the service adds no model-bound text, schema, or message; it only materializes and logs an adapter-configured reasoning effort.

 #### KV Cache effect

@@ -13,14 +13,18 @@
 - `ctx.llm.registerAdapter(providers: string[], adapter: LlmAdapter): () => void` 为给定提供方路由注册一个适配器实例。注册要么全部成功，要么全部不生效，并且会随调用 fiber dispose。
 - `ctx.llm.listProviders(): LlmProviderInfo[]` 按注册顺序描述已注册提供方路由。
 - `ctx.llm.listModels(provider: string): Promise<LlmModelInfo[]>` 发现某个已注册提供方当前公布的模型。
- `ctx.llm.resolveModelContext(provider: string, model: string): Promise<LlmModelContext | undefined>` 从拥有精确路由的适配器解析权威上下文容量。
+- `ctx.llm.resolveModelInfo(provider: string, model: string, signal?: AbortSignal): Promise<LlmResolvedModelInfo>` 从拥有精确路由的适配器解析经校验的确切模型身份、可用上下文和推理（reasoning）元数据；异步适配器可选地支持取消。
+- `ctx.llm.resolveCallConfig(config: LlmCallConfig, signal?: AbortSignal): Promise<LlmCallConfig>` 校验显式推理强度，并填入适配器配置的默认值，但不自动调整。
+- `ctx.llm.prepareCall(config: LlmCallConfig, signal?: AbortSignal): Promise<PreparedLlmCall>` 解析配置并将其当前适配器注册捕获为一次可取消、一次性调用。
 - `ctx.llm.stream(options: GenerateOptions): AsyncIterable<StreamChunk>` 将一次模型调用流式输出为原始 chunk（token 级 delta）。消费方使用 `BlockAssembler` 将 chunk 组装为块／消息。

 `LlmService` 保留来自最终适配器选择、同步 dispatch、iterator 构造与迭代的错误，并将其溯源绑定到该次模型调用返回的精确流句柄。`isLlmAdapterFailure(stream, value)` 只报告该调用最终适配器边界的错误；`llmFailureOf(stream, value)` 返回相邻的不可变 `LlmFailure`。嵌套模型调用、`llm/stream` middleware 和下游消费方失败对外层调用仍未分类。分类绝不替换或更改适配器的原始编码 `Error`。

 提供方与模型元数据是发现表层，不是路由白名单。`registerAdapter()` 仍拥有提供方排他性，适配器则可以接受 `listModels()` 中不存在的模型 id；消费方禁止因模型未列出而拒绝请求。返回的元数据与输入脱离，无效或重复适配器配置项会以 `INVALID_ADAPTER` 或 `INVALID_CATALOG` 失败。

-上下文容量是独立的正确性查询，不是 catalog 装饰或全局 LLM 设置。`resolveModelContext()` 会询问拥有精确提供方／模型路由的适配器；适配器可以描述未列出的动态模型，`undefined` 只表示容量不可用。无效的返回容量以 `INVALID_MODEL_CONTEXT` 失败。
+确切模型元数据是独立的正确性查询，不是 catalog 装饰或全局 LLM 设置。`resolveModelInfo()` 会向拥有精确提供方／模型路由的适配器查询一次；适配器可以描述未列出的动态模型，缺少 `context` 或 `reasoning` 字段只表示相应能力不可用。无效的身份、上下文或推理元数据会以 `INVALID_MODEL_INFO`、`INVALID_MODEL_CONTEXT` 或 `INVALID_MODEL_REASONING` 失败。
+
+推理标识符是由适配器持有的不透明字符串，而非核心枚举。适配器会公布有序可选列表；模型能力 API 提供 `off` id 时，列表也会包含它。`resolveCallConfig()` 只接受与已公布标识符完全一致的值，在存在 `defaultEffort` 时填入它，否则保留提供方默认值。异步模型解析器会接收调用方的 signal，并且必须在取消后迅速完成结算。`prepareCall()` 还会让精确适配器注册跨越请求头记录和最终分派，因此 HMR（热模块替换）不会将一个适配器的能力结果与另一个适配器的请求混用；复用其一次性句柄或更改调用配置字段会以 `INVALID_PREPARED_CALL` 失败。不支持的显式或配置推理强度会在提供方 I/O 前以 `UNSUPPORTED_REASONING_EFFORT` 失败。

 ### 事件

@@ -30,7 +34,7 @@

 ### 扩展点

- 继承 `LlmAdapter` 并调用 `ctx.llm.registerAdapter(providers, adapter)`，添加一条或多条提供方路由。`GenerateOptions.provider` 选择适配器；`GenerateOptions.model` 属于适配器，可以动态解析。覆盖 `providerInfo()` 和异步 `listModels()` 以公开 selector 元数据，在已知精确容量时覆盖 `resolveModelContext()`；默认实现将路由 id 用作名称，不公布模型，也不返回容量。
+- 继承 `LlmAdapter` 并调用 `ctx.llm.registerAdapter(providers, adapter)`，添加一条或多条提供方路由。`GenerateOptions.provider` 选择适配器；`GenerateOptions.model` 属于适配器，可以动态解析。覆盖 `providerInfo()` 和异步 `listModels()` 以公开 selector 元数据；精确身份、容量或可选推理强度可用时，实现 `resolveModel()`；异步解析器必须响应其可选的取消 signal。默认实现将路由和模型 id 用作名称，不公布模型，也不返回容量或推理元数据。
 - 包装 `llm/stream` 时，通过 `ctx.on()` waterfall listener 实现缓存、日志或路由。发出 chunk 后重试的包装层没有持久尝试边界；因此已发布 agent 重试策略改用 `agent/request-error`。

 ### 内容块词汇（`types.ts`）
@@ -41,7 +45,7 @@

 ### 调用配置（`call-config.ts`）

-`LlmCallConfig` 是一个会话请求的提供方 + 模型 + 采样标量（`provider`、`model`、`temperature`、`maxTokens`、`stop`，每个都与同名 `GenerateOptions` 字段 1:1 映射）。它是作为请求标头一部分记录在会话日志中的每会话状态（见 dsh-session `request/header` 事件），绝不是可静默调整的每次调用旋钮：`agent/request` waterfall 会提议替换，loop 则记录真实变更。`callConfigEquals(a, b)` 是逐字段真实变更检测器；`deepFreeze(value)` 是 loop 在 dispatch 前对每个已构建请求应用的所有权 helper（`llm/stream` listener 与适配器只读，绝不改写）。`markAgentLoopRequest()` 为该精确对象添加进程本地 loop 溯源，`isAgentLoopRequest()` 让观测方可以将其与同样可能冻结并关联会话、但独立记录的辅助调用区分。`GenerateOptions.purpose` 对已记录辅助压缩与会话标题调用分类，让适配器可以应用目的特定传输策略，而不改变普通会话请求。
+`LlmCallConfig` 是一个会话请求的提供方、模型、可选的适配器持有推理强度和采样标量（`provider`、`model`、`reasoningEffort`、`temperature`、`maxTokens`、`stop`，每个都与同名 `GenerateOptions` 字段 1:1 映射）。它是作为请求标头一部分记录在会话日志中的每会话状态（见 dsh-session `request/header` 事件），绝不是可静默调整的每次调用旋钮：`agent/request` waterfall 会提议替换，`prepareCall()` 在轮次 signal 控制下校验并填入默认值，loop 随后记录生效值，再使用准备完成调用的注册绑定流。`callConfigEquals(a, b)` 是逐字段真实变更检测器；`deepFreeze(value)` 是 loop 在 dispatch 前对每个已构建请求应用的所有权 helper（`llm/stream` listener 与适配器只读，绝不改写）。`markAgentLoopRequest()` 为该精确对象添加进程本地 loop 溯源，`isAgentLoopRequest()` 让观测方可以将其与同样可能冻结并关联会话、但独立记录的辅助调用区分。`GenerateOptions.purpose` 对已记录辅助压缩与会话标题调用分类，让适配器可以应用目的特定传输策略，而不改变普通会话请求。

 ### 应用归因（`attribution.ts`）

@@ -64,7 +68,7 @@

 ## 模型体验

-无。该适配器注册表转发已组装的请求，不添加或更改任何模型边界文本、schema 或消息。
+无。服务不添加或更改任何模型边界文本、schema 或消息；它只会填入并记录适配器配置的推理强度。

 #### KV Cache 影响

@@ -38,3 +38,15 @@ export type ProviderRequestId = Branded<'ProviderRequestId'>
 export function ProviderRequestId(id: string): ProviderRequestId {
  return id as ProviderRequestId
 }
+
+/** Adapter-owned identifier for one model's selectable reasoning effort. */
+export type ReasoningEffortId = Branded<'ReasoningEffortId'>
+
+/**
+ * Brand an adapter-owned reasoning-effort identifier.
+ * @param id - the opaque identifier exposed by one model capability.
+ * @returns the same string, branded; no validation is performed.
+ */
+export function ReasoningEffortId(id: string): ReasoningEffortId {
+  return id as ReasoningEffortId
+}
@@ -1,24 +1,27 @@
 /**
 * Conversation call configuration and freeze utilities. Provider routing,
- * model, and sampling values are request-header state that can affect cache
- * reuse; request waterfalls replace them and the loop logs changed snapshots
- * instead of allowing silent per-call drift.
+ * model, reasoning effort, and sampling values are request-header state that
+ * can affect cache reuse; request waterfalls replace them and the loop logs
+ * changed snapshots instead of allowing silent per-call drift.
 * @module dsh-llm/call-config
 */

 import type { GenerateOptions } from './types.ts'
+import type { ReasoningEffortId } from './brand.ts'

 /** Process-local identities of request objects assembled by dsh-agent-loop. */
 const AGENT_LOOP_REQUESTS = new WeakSet<GenerateOptions>()

 /**
- * Provider + model + sampling scalars of one conversation's requests. Every field maps
- * 1:1 onto the same-named `GenerateOptions` field; the loop builds requests
- * from the logged header rather than accepting these per call.
+ * Provider, model, reasoning effort, and sampling scalars of one conversation's
+ * requests. Every field maps 1:1 onto the same-named `GenerateOptions` field;
+ * the loop builds requests from the logged header rather than accepting these
+ * per call.
 */
 export interface LlmCallConfig {
  provider: string
  model: string
+  reasoningEffort?: ReasoningEffortId
  temperature?: number
  maxTokens?: number
  stop?: string[]
@@ -33,7 +36,13 @@ export interface LlmCallConfig {
 * @returns whether every field (including the `stop` list, element-wise) matches.
 */
 export function callConfigEquals(a: LlmCallConfig, b: LlmCallConfig): boolean {
-  if (a.provider !== b.provider || a.model !== b.model || a.temperature !== b.temperature || a.maxTokens !== b.maxTokens) return false
+  if (
+    a.provider !== b.provider
+    || a.model !== b.model
+    || a.reasoningEffort !== b.reasoningEffort
+    || a.temperature !== b.temperature
+    || a.maxTokens !== b.maxTokens
+  ) return false
  if (a.stop === undefined || b.stop === undefined) return a.stop === b.stop
  return a.stop.length === b.stop.length && a.stop.every((s, i) => s === b.stop?.[i])
 }
@@ -10,14 +10,15 @@ import { Context, Service } from 'cordis'
 import type {
  GenerateOptions,
  LlmFailure,
-  LlmModelContext,
  LlmModelInfo,
+  LlmResolvedModelInfo,
  LlmProviderInfo,
  Message,
  StreamChunk,
 } from './types.ts'
 import type { ProviderRequestId } from './brand.ts'
-import { deepFreeze } from './call-config.ts'
+import { callConfigEquals, deepFreeze } from './call-config.ts'
+import type { LlmCallConfig } from './call-config.ts'
 import { HarnessError } from './error.ts'
 import { bindAdapterFailureScope, markLlmAdapterFailure } from './adapter-failure.ts'
 import type { AdapterFailureScope } from './adapter-failure.ts'
@@ -103,6 +104,20 @@ export class LlmError extends HarnessError {
  }
 }

+/** One model call whose config and adapter registration were resolved together. */
+export interface PreparedLlmCall {
+  /** Detached, deep-frozen config with any adapter-owned default materialized. */
+  readonly config: LlmCallConfig
+  /**
+   * Dispatch this call once through the registration captured during
+   * preparation. The request's call-config fields must match {@link config};
+   * reuse or mismatch fails with `INVALID_PREPARED_CALL`.
+   * @param options - fully assembled request carrying the prepared config.
+   * @returns the chunk stream, including the `llm/stream` waterfall.
+   */
+  stream(options: GenerateOptions): AsyncIterable<StreamChunk>
+}
+
 /**
 * Provider-wire adapter for the harness message and stream vocabulary. Register implementations
 * with `ctx.llm.registerAdapter(providers, adapter)`. Every provider HTTP request must include
@@ -131,17 +146,20 @@ export abstract class LlmAdapter {
  }

  /**
-   * Resolve context capacity for one model accepted by this adapter. Absence
-   * means the adapter does not know the capacity, not that routing is invalid.
-   * @param _provider - one provider route owned by this adapter.
-   * @param _model - exact model id passed to {@link GenerateOptions.model}.
-   * @returns provider-owned context metadata, or `undefined` when unavailable.
+   * Resolve all metadata available for one exact model. This query is
+   * independent of the advisory catalog and does not validate request routing.
+   * @param provider - one provider route owned by this adapter.
+   * @param model - exact model id passed to {@link GenerateOptions.model}.
+   * @param _signal - cancellation for this exact-model lookup; asynchronous
+   *   implementations must settle promptly after it aborts.
+   * @returns provider/model identity plus any context and reasoning metadata.
   */
-  resolveModelContext(
-    _provider: string,
-    _model: string,
-  ): Promise<LlmModelContext | undefined> {
-    return Promise.resolve(undefined)
+  resolveModel(
+    provider: string,
+    model: string,
+    _signal?: AbortSignal,
+  ): Promise<LlmResolvedModelInfo> {
+    return Promise.resolve({ provider, id: model, name: model })
  }

  /**
@@ -157,7 +175,7 @@ export abstract class LlmAdapter {
 * surface, interceptable via the `llm/stream` waterfall.
 */
 export class LlmService extends Service {
-  private adapters = new Map<string, { adapter: LlmAdapter; provider: LlmProviderInfo }>()
+  private adapters = new Map<string, AdapterRegistration>()

  constructor(ctx: Context) {
    super(ctx, 'llm')
@@ -175,7 +193,7 @@ export class LlmService extends Service {
    const dispose = this.ctx.effect(function* (this: LlmService) {
      if (providers.length === 0) throw new LlmError('an adapter must register at least one provider', 'INVALID_ADAPTER')
      const unique = new Set<string>()
-      const registrations: { adapter: LlmAdapter; provider: LlmProviderInfo }[] = []
+      const registrations: AdapterRegistration[] = []
      for (const provider of providers) {
        if (provider.length === 0) throw new LlmError('adapter provider names must be non-empty', 'INVALID_ADAPTER')
        if (unique.has(provider) || this.adapters.has(provider)) {
@@ -240,29 +258,170 @@ export class LlmService extends Service {
  }

  /**
-   * Resolve context capacity from the adapter that owns one exact route.
-   * This query is independent of the advisory model catalog: an unlisted model
-   * may return metadata, while `undefined` never rejects later routing.
+   * Resolve and validate all metadata from the adapter that owns one exact
+   * route. The result is detached from adapter-owned objects; catalog
+   * membership remains advisory and does not control request routing.
   * @param provider - registered provider route to inspect.
   * @param model - exact model id passed to the adapter.
-   * @returns detached context metadata, or `undefined` when the adapter has none.
+   * @param signal - optional cancellation for adapter-owned asynchronous lookup.
+   * @returns exact model identity plus available context and reasoning metadata.
   */
-  async resolveModelContext(
+  async resolveModelInfo(
    provider: string,
    model: string,
-  ): Promise<LlmModelContext | undefined> {
-    const context = await this.registration(provider).adapter.resolveModelContext(provider, model)
-    if (context === undefined) return undefined
-    if (!Number.isInteger(context.contextWindow) || context.contextWindow <= 0) {
+    signal?: AbortSignal,
+  ): Promise<LlmResolvedModelInfo> {
+    return this.resolveModelInfoFor(this.registration(provider), model, signal)
+  }
+
+  private async resolveModelInfoFor(
+    registration: AdapterRegistration,
+    model: string,
+    signal?: AbortSignal,
+  ): Promise<LlmResolvedModelInfo> {
+    const provider = registration.provider.id
+    const resolved = await registration.adapter.resolveModel(provider, model, signal)
+    if (
+      typeof resolved.provider !== 'string'
+      || resolved.provider !== provider
+      || typeof resolved.id !== 'string'
+      || resolved.id !== model
+      || typeof resolved.name !== 'string'
+      || resolved.name.length === 0
+      || (resolved.description !== undefined && typeof resolved.description !== 'string')
+    ) {
+      throw new LlmError(
+        `adapter returned invalid exact model metadata for provider "${provider}" model "${model}"`,
+        'INVALID_MODEL_INFO',
+      )
+    }
+    const context = resolved.context
+    if (context !== undefined && (!Number.isInteger(context.contextWindow) || context.contextWindow <= 0)) {
      throw new LlmError(
        `adapter returned invalid context metadata for provider "${provider}" model "${model}"`,
        'INVALID_MODEL_CONTEXT',
      )
    }
-    return { contextWindow: context.contextWindow }
+    const info: LlmResolvedModelInfo = {
+      provider,
+      id: model,
+      name: resolved.name,
+      ...resolved.description === undefined ? {} : { description: resolved.description },
+      ...context === undefined ? {} : { context: { contextWindow: context.contextWindow } },
+    }
+    const reasoning = resolved.reasoning
+    if (reasoning === undefined) return info
+    if (reasoning.efforts.length === 0) {
+      throw new LlmError(
+        `adapter returned invalid reasoning metadata for provider "${provider}" model "${model}"`,
+        'INVALID_MODEL_REASONING',
+      )
+    }
+    const seen = new Set<string>()
+    const efforts = reasoning.efforts.map((effort) => {
+      if (
+        typeof effort.id !== 'string'
+        || effort.id.length === 0
+        || typeof effort.name !== 'string'
+        || effort.name.length === 0
+        || (effort.description !== undefined && typeof effort.description !== 'string')
+        || seen.has(effort.id)
+      ) {
+        throw new LlmError(
+          `adapter returned invalid or duplicate reasoning effort metadata for provider "${provider}" model "${model}"`,
+          'INVALID_MODEL_REASONING',
+        )
+      }
+      seen.add(effort.id)
+      return {
+        id: effort.id,
+        name: effort.name,
+        ...effort.description === undefined ? {} : { description: effort.description },
+      }
+    })
+    if (reasoning.defaultEffort !== undefined && !seen.has(reasoning.defaultEffort)) {
+      throw new LlmError(
+        `adapter returned an unknown default reasoning effort for provider "${provider}" model "${model}"`,
+        'INVALID_MODEL_REASONING',
+      )
+    }
+    return {
+      ...info,
+      reasoning: {
+        efforts,
+        ...reasoning.defaultEffort === undefined ? {} : { defaultEffort: reasoning.defaultEffort },
+      },
+    }
  }

-  private registration(provider: string): { adapter: LlmAdapter; provider: LlmProviderInfo } {
+  /**
+   * Validate a conversation call config against its exact model capability and
+   * materialize an adapter-configured default. Unsupported explicit efforts
+   * reject before provider I/O; no clamping or aliasing is performed. This
+   * standalone query does not bind a later dispatch; use {@link prepareCall}
+   * when logging and streaming must share one adapter registration.
+   * @param config - provider/model route and optional request controls.
+   * @param signal - optional cancellation for adapter-owned capability lookup.
+   * @returns a detached config only when a default must be materialized.
+   */
+  async resolveCallConfig(config: LlmCallConfig, signal?: AbortSignal): Promise<LlmCallConfig> {
+    return this.resolveCallConfigFor(this.registration(config.provider), config, signal)
+  }
+
+  private async resolveCallConfigFor(
+    registration: AdapterRegistration,
+    config: LlmCallConfig,
+    signal?: AbortSignal,
+  ): Promise<LlmCallConfig> {
+    const reasoning = (await this.resolveModelInfoFor(registration, config.model, signal)).reasoning
+    const requested = config.reasoningEffort
+    if (reasoning === undefined) {
+      if (requested !== undefined) {
+        throw new LlmError(
+          `provider "${config.provider}" model "${config.model}" does not support reasoning effort "${requested}"`,
+          'UNSUPPORTED_REASONING_EFFORT',
+        )
+      }
+      return config
+    }
+    const effective = requested ?? reasoning.defaultEffort
+    if (effective === undefined) return config
+    if (!reasoning.efforts.some(effort => effort.id === effective)) {
+      throw new LlmError(
+        `provider "${config.provider}" model "${config.model}" does not support reasoning effort "${effective}"`,
+        'UNSUPPORTED_REASONING_EFFORT',
+      )
+    }
+    return requested === effective ? config : { ...config, reasoningEffort: effective }
+  }
+
+  /**
+   * Resolve one call under its current adapter registration. The returned
+   * one-shot handle keeps that registration across header logging and dispatch,
+   * so HMR cannot combine one adapter's capability result with another adapter.
+   * @param config - provider/model route and optional request controls.
+   * @param signal - optional cancellation for adapter-owned capability lookup.
+   * @returns a prepared config and its registration-bound stream entry point.
+   */
+  async prepareCall(config: LlmCallConfig, signal?: AbortSignal): Promise<PreparedLlmCall> {
+    const registration = this.registration(config.provider)
+    const resolvedConfig = deepFreeze(structuredClone(
+      await this.resolveCallConfigFor(registration, config, signal),
+    ))
+    let dispatched = false
+    return Object.freeze({
+      config: resolvedConfig,
+      stream: (options: GenerateOptions): AsyncIterable<StreamChunk> => {
+        if (dispatched) {
+          throw new LlmError('a prepared LLM call can only be dispatched once', 'INVALID_PREPARED_CALL')
+        }
+        dispatched = true
+        return this.streamWithRegistration(options, { registration, config: resolvedConfig })
+      },
+    })
+  }
+
+  private registration(provider: string): AdapterRegistration {
    const registration = this.adapters.get(provider)
    if (!registration) throw new LlmError(`no adapter registered for provider "${provider}"`, 'NO_ADAPTER')
    return registration
@@ -295,11 +454,27 @@ export class LlmService extends Service {
  private async * adapterStream(
    options: GenerateOptions,
    failures: AdapterFailureScope,
+    prepared?: { registration: AdapterRegistration; config: LlmCallConfig },
  ): AsyncGenerator<StreamChunk> {
    let iterator: AsyncIterator<StreamChunk>
    try {
-      const adapter = this.registration(options.provider).adapter
-      const stream = adapter.stream(this.forAdapter(options, adapter))
+      const registration = prepared?.registration ?? this.registration(options.provider)
+      const resolvedConfig = prepared === undefined
+        ? await this.resolveCallConfigFor(registration, options, options.signal)
+        : prepared.config
+      if (prepared !== undefined && !callConfigEquals(options, resolvedConfig)) {
+        throw new LlmError(
+          'prepared LLM call config changed before adapter dispatch',
+          'INVALID_PREPARED_CALL',
+        )
+      }
+      const resolvedOptions = prepared !== undefined || callConfigEquals(options, resolvedConfig)
+        ? options
+        : Object.isFrozen(options)
+          ? deepFreeze({ ...options, ...resolvedConfig })
+          : { ...options, ...resolvedConfig }
+      const adapter = registration.adapter
+      const stream = adapter.stream(this.forAdapter(resolvedOptions, adapter))
      iterator = stream[Symbol.asyncIterator]()
    } catch (error: unknown) {
      throw markLlmAdapterFailure(failures, error)
@@ -339,18 +514,36 @@ export class LlmService extends Service {
   * `LlmError` with code `NO_ADAPTER` if no adapter is registered for
   * `options.provider`. Replay state is retained only when the same adapter
   * instance owns its historical provider and the target provider. Final
-   * adapter selection, dispatch, and iteration failures retain their original
-   * Error identity and are tagged in a call-local scope for narrow agent-loop
-   * request recovery; middleware and nested-call failures remain untagged for
-   * the outer call.
+   * adapter selection remains fixed through asynchronous exact-model resolution
+   * and dispatch. Selection, dispatch, and iteration failures retain their
+   * original Error identity and are tagged in a call-local scope for narrow
+   * agent-loop request recovery; middleware and nested-call failures remain
+   * untagged for the outer call.
   * @param options - the full request; `options.provider` selects the adapter.
   * @returns the chunk stream, possibly wrapped by `llm/stream` listeners.
   */
  stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
+    return this.streamWithRegistration(options)
+  }
+
+  private streamWithRegistration(
+    options: GenerateOptions,
+    prepared?: { registration: AdapterRegistration; config: LlmCallConfig },
+  ): AsyncIterable<StreamChunk> {
    const failures: AdapterFailureScope = new WeakMap<Error, LlmFailure>()
-    const stream = this.ctx.waterfall(this, 'llm/stream', options, () => this.adapterStream(options, failures))
+    const stream = this.ctx.waterfall(
+      this,
+      'llm/stream',
+      options,
+      () => this.adapterStream(options, failures, prepared),
+    )
    return bindAdapterFailureScope(stream, failures)
  }
 }

+interface AdapterRegistration {
+  readonly adapter: LlmAdapter
+  readonly provider: LlmProviderInfo
+}
+
 export default LlmService
@@ -5,7 +5,7 @@
 */

 import type { Branded } from '@deepseek-ai/dsh-brand'
-import type { CallId, ProviderRequestId } from './brand.ts'
+import type { CallId, ProviderRequestId, ReasoningEffortId } from './brand.ts'

 /** Serializable provider-boundary facts; policy decides whether they are retryable. */
 export interface LlmFailure {
@@ -161,6 +161,35 @@ export interface LlmModelContext {
  contextWindow: number
 }

+/** Display metadata for one adapter-owned reasoning effort. */
+export interface LlmReasoningEffortInfo {
+  /** Opaque stable value accepted by {@link GenerateOptions.reasoningEffort}. */
+  id: ReasoningEffortId
+  /** Human-readable effort name for selectors and diagnostics. */
+  name: string
+  /** Optional user-facing distinction from otherwise similar efforts. */
+  description?: string
+}
+
+/** Selectable reasoning efforts for one exact provider/model route. */
+export interface LlmModelReasoningInfo {
+  /** Supported efforts in adapter-preferred display order. */
+  efforts: readonly LlmReasoningEffortInfo[]
+  /**
+   * Adapter-configured default materialized into requests when callers omit
+   * an effort. Absence preserves the provider's own default.
+   */
+  defaultEffort?: ReasoningEffortId
+}
+
+/** Exact-route model metadata resolved by its owning adapter. */
+export interface LlmResolvedModelInfo extends LlmModelInfo {
+  /** Provider-owned context capacity when known. */
+  context?: LlmModelContext
+  /** Adapter-owned selectable reasoning levels when exposed. */
+  reasoning?: LlmModelReasoningInfo
+}
+
 /**
 * Raw streaming protocol emitted by adapters.
 * Block indexes correlate interleaved deltas, and `block-end` carries the
@@ -201,6 +230,8 @@ export interface GenerateOptions {
  /** Registered provider route selecting the adapter instance. */
  provider: string
  model: string
+  /** Adapter-owned reasoning effort selected for this exact model. */
+  reasoningEffort?: ReasoningEffortId
  /**
   * Ordered conversation messages, exactly as the provider sees them (after
   * the `system` slot). A loop-built request assembles them as
@@ -6,6 +6,7 @@

 import { describe, expect, it } from 'vitest'
 import { callConfigEquals, deepFreeze, isAgentLoopRequest, markAgentLoopRequest } from '../src/call-config.ts'
+import { ReasoningEffortId } from '../src/brand.ts'
 import type { GenerateOptions } from '../src/types.ts'

 describe('callConfigEquals', () => {
@@ -14,6 +15,11 @@ describe('callConfigEquals', () => {
    expect(callConfigEquals(base, base)).toBe(true)
    expect(callConfigEquals(base, { provider: 'x', model: 'm' })).toBe(false)
    expect(callConfigEquals(base, { provider: 'p', model: 'x' })).toBe(false)
+    expect(callConfigEquals({ ...base, reasoningEffort: ReasoningEffortId('high') }, base)).toBe(false)
+    expect(callConfigEquals(
+      { ...base, reasoningEffort: ReasoningEffortId('high') },
+      { ...base, reasoningEffort: ReasoningEffortId('high') },
+    )).toBe(true)
    expect(callConfigEquals({ ...base, temperature: 0.5 }, base)).toBe(false)
    expect(callConfigEquals({ ...base, maxTokens: 1 }, { ...base, maxTokens: 2 })).toBe(false)
    expect(callConfigEquals({ ...base, stop: ['a'] }, base)).toBe(false)
@@ -11,9 +11,16 @@ import LlmService, {
  LlmError,
  llmFailureOf,
  ProviderRequestId,
+  ReasoningEffortId,
  StreamChunk,
 } from '@deepseek-ai/dsh-llm'
-import type { LlmModelContext, LlmModelInfo, LlmProviderInfo } from '@deepseek-ai/dsh-llm'
+import type {
+  LlmModelContext,
+  LlmModelInfo,
+  LlmModelReasoningInfo,
+  LlmProviderInfo,
+  LlmResolvedModelInfo,
+} from '@deepseek-ai/dsh-llm'

 class ScriptedAdapter extends LlmAdapter {
  constructor(private script: StreamChunk[]) {
@@ -49,6 +56,7 @@ class CatalogAdapter extends ScriptedAdapter {
    private readonly provider: LlmProviderInfo,
    private readonly models: readonly LlmModelInfo[],
    private readonly contexts: Readonly<Record<string, LlmModelContext>> = {},
+    private readonly reasoning: Readonly<Record<string, LlmModelReasoningInfo>> = {},
  ) {
    super(SCRIPT)
  }
@@ -61,11 +69,17 @@ class CatalogAdapter extends ScriptedAdapter {
    return Promise.resolve(this.models)
  }

-  override resolveModelContext(
-    _provider: string,
+  override resolveModel(
+    provider: string,
    model: string,
-  ): Promise<LlmModelContext | undefined> {
-    return Promise.resolve(this.contexts[model])
+  ): Promise<LlmResolvedModelInfo> {
+    return Promise.resolve({
+      provider,
+      id: model,
+      name: model,
+      ...this.contexts[model] === undefined ? {} : { context: this.contexts[model] },
+      ...this.reasoning[model] === undefined ? {} : { reasoning: this.reasoning[model] },
+    })
  }
 }

@@ -739,8 +753,32 @@ describe('LlmService', () => {
    expect(ctx.llm.listProviders()).toEqual([{ id: 'plain', name: 'plain' }])
    await expect(ctx.llm.listModels('plain')).resolves.toEqual([])
    await expect(ctx.llm.listModels('missing')).rejects.toMatchObject({ code: 'NO_ADAPTER' })
-    await expect(ctx.llm.resolveModelContext('plain', 'unlisted')).resolves.toBeUndefined()
-    await expect(ctx.llm.resolveModelContext('missing', 'm')).rejects.toMatchObject({ code: 'NO_ADAPTER' })
+    await expect(ctx.llm.resolveModelInfo('plain', 'unlisted')).resolves.toEqual({
+      provider: 'plain', id: 'unlisted', name: 'unlisted',
+    })
+    await expect(ctx.llm.resolveModelInfo('missing', 'm')).rejects.toMatchObject({ code: 'NO_ADAPTER' })
+  })
+
+  it.each([
+    [{ provider: 1, id: 'model', name: 'Model' }, 'non-string provider'],
+    [{ provider: 'other', id: 'model', name: 'Model' }, 'mismatched provider'],
+    [{ provider: 'route', id: 1, name: 'Model' }, 'non-string id'],
+    [{ provider: 'route', id: 'other', name: 'Model' }, 'mismatched id'],
+    [{ provider: 'route', id: 'model', name: 1 }, 'non-string name'],
+    [{ provider: 'route', id: 'model', name: '' }, 'empty name'],
+    [{ provider: 'route', id: 'model', name: 'Model', description: 1 }, 'non-string description'],
+  ] as const)('rejects invalid exact model metadata (%s: %s)', async (metadata, _label) => {
+    const ctx = new Context()
+    await ctx.plugin(LlmService)
+    const adapter = new class extends ScriptedAdapter {
+      override resolveModel(): Promise<LlmResolvedModelInfo> {
+        return Promise.resolve(metadata as unknown as LlmResolvedModelInfo)
+      }
+    }(SCRIPT)
+    ctx.llm.registerAdapter(['route'], adapter)
+
+    await expect(ctx.llm.resolveModelInfo('route', 'model'))
+      .rejects.toMatchObject({ code: 'INVALID_MODEL_INFO' })
  })

  it('resolves detached model context independently of advisory catalog membership', async () => {
@@ -753,11 +791,241 @@ describe('LlmService', () => {
      { unlisted: source },
    ))

-    const resolved = await ctx.llm.resolveModelContext('route', 'unlisted')
-    expect(resolved).toEqual({ contextWindow: 32_000 })
+    const resolved = await ctx.llm.resolveModelInfo('route', 'unlisted')
+    expect(resolved.context).toEqual({ contextWindow: 32_000 })
    source.contextWindow = 64_000
-    expect(resolved).toEqual({ contextWindow: 32_000 })
-    await expect(ctx.llm.resolveModelContext('route', 'other')).resolves.toBeUndefined()
+    expect(resolved.context).toEqual({ contextWindow: 32_000 })
+    await expect(ctx.llm.resolveModelInfo('route', 'other')).resolves.toEqual({
+      provider: 'route', id: 'other', name: 'other',
+    })
+  })
+
+  it('resolves detached adapter-owned reasoning metadata and materializes its default', async () => {
+    const ctx = new Context()
+    await ctx.plugin(LlmService)
+    const source = {
+      efforts: [
+        { id: ReasoningEffortId('standard'), name: 'Standard' },
+        { id: ReasoningEffortId('ultra'), name: 'Ultra', description: 'Largest budget' },
+      ],
+      defaultEffort: ReasoningEffortId('standard'),
+    }
+    ctx.llm.registerAdapter(['route'], new CatalogAdapter(
+      { id: 'route', name: 'Route' },
+      [],
+      {},
+      { model: source },
+    ))
+
+    const resolved = await ctx.llm.resolveModelInfo('route', 'model')
+    expect(resolved.reasoning).toEqual(source)
+    source.efforts[0]!.name = 'mutated'
+    expect(resolved.reasoning?.efforts[0]?.name).toBe('Standard')
+    await expect(ctx.llm.resolveCallConfig({ provider: 'route', model: 'model' })).resolves.toEqual({
+      provider: 'route',
+      model: 'model',
+      reasoningEffort: ReasoningEffortId('standard'),
+    })
+    const explicit = { provider: 'route', model: 'model', reasoningEffort: ReasoningEffortId('ultra') }
+    await expect(ctx.llm.resolveCallConfig(explicit)).resolves.toBe(explicit)
+  })
+
+  it.each([
+    [{ efforts: [] }, 'empty effort list'],
+    [{ efforts: [{ id: '', name: 'Empty' }] }, 'empty id'],
+    [{ efforts: [{ id: 'valid', name: '' }] }, 'empty name'],
+    [{ efforts: [{ id: 'valid', name: 'Valid', description: 1 }] }, 'non-string description'],
+    [{ efforts: [{ id: 'same', name: 'One' }, { id: 'same', name: 'Two' }] }, 'duplicate id'],
+    [{ efforts: [{ id: 'valid', name: 'Valid' }], defaultEffort: 'other' }, 'unknown default'],
+  ] as const)('rejects invalid model reasoning metadata (%s: %s)', async (metadata, _label) => {
+    const ctx = new Context()
+    await ctx.plugin(LlmService)
+    ctx.llm.registerAdapter(['route'], new CatalogAdapter(
+      { id: 'route', name: 'Route' },
+      [],
+      {},
+      { model: metadata as unknown as LlmModelReasoningInfo },
+    ))
+    await expect(ctx.llm.resolveModelInfo('route', 'model'))
+      .rejects.toMatchObject({ code: 'INVALID_MODEL_REASONING' })
+  })
+
+  it('rejects unsupported reasoning efforts without clamping', async () => {
+    const ctx = new Context()
+    await ctx.plugin(LlmService)
+    ctx.llm.registerAdapter(['route'], new CatalogAdapter(
+      { id: 'route', name: 'Route' },
+      [],
+      {},
+      { model: { efforts: [{ id: ReasoningEffortId('ultra'), name: 'Ultra' }] } },
+    ))
+
+    await expect(ctx.llm.resolveCallConfig({
+      provider: 'route',
+      model: 'model',
+      reasoningEffort: ReasoningEffortId('standard'),
+    })).rejects.toMatchObject({ code: 'UNSUPPORTED_REASONING_EFFORT' })
+    await expect(ctx.llm.resolveCallConfig({
+      provider: 'route',
+      model: 'plain',
+      reasoningEffort: ReasoningEffortId('standard'),
+    })).rejects.toMatchObject({ code: 'UNSUPPORTED_REASONING_EFFORT' })
+  })
+
+  it('resolves reasoning defaults at the final adapter boundary after routing middleware', async () => {
+    const ctx = new Context()
+    await ctx.plugin(LlmService)
+    const adapter = new class extends RecordingAdapter {
+      override resolveModel(provider: string, model: string): Promise<LlmResolvedModelInfo> {
+        const reasoning: LlmModelReasoningInfo = {
+          efforts: [{ id: ReasoningEffortId('standard'), name: 'Standard' }],
+          defaultEffort: ReasoningEffortId('standard'),
+        }
+        return Promise.resolve({
+          provider,
+          id: model,
+          name: model,
+          reasoning,
+        })
+      }
+    }(SCRIPT)
+    ctx.llm.registerAdapter(['routed'], adapter)
+    const disposeRouting = ctx.on('llm/stream', (options, next) => {
+      options.provider = 'routed'
+      return next()
+    })
+
+    for await (const _chunk of ctx.llm.stream({
+      provider: 'initial',
+      model: 'model',
+      messages: [],
+    })) { /* drain */ }
+
+    expect(adapter.lastOptions?.reasoningEffort).toBe(ReasoningEffortId('standard'))
+    disposeRouting()
+
+    const frozenRequest: GenerateOptions = Object.freeze({
+      provider: 'routed',
+      model: 'model',
+      messages: [],
+    })
+    for await (const _chunk of ctx.llm.stream(frozenRequest)) { /* drain */ }
+    expect(adapter.lastOptions?.reasoningEffort).toBe(ReasoningEffortId('standard'))
+    expect(Object.isFrozen(adapter.lastOptions)).toBe(true)
+  })
+
+  it('pins one adapter registration across asynchronous exact-model resolution and dispatch', async () => {
+    const ctx = new Context()
+    await ctx.plugin(LlmService)
+    const started = Promise.withResolvers<undefined>()
+    const reasoning = Promise.withResolvers<LlmModelReasoningInfo>()
+    const first = new class extends RecordingAdapter {
+      override async resolveModel(
+        provider: string,
+        model: string,
+        _signal?: AbortSignal,
+      ): Promise<LlmResolvedModelInfo> {
+        started.resolve(undefined)
+        return {
+          provider,
+          id: model,
+          name: model,
+          reasoning: await reasoning.promise,
+        }
+      }
+    }(SCRIPT)
+    const disposeFirst = ctx.llm.registerAdapter(['route'], first)
+    const draining = (async () => {
+      for await (const _chunk of ctx.llm.stream({
+        provider: 'route',
+        model: 'model',
+        messages: [],
+      })) { /* drain */ }
+    })()
+
+    await started.promise
+    disposeFirst()
+    const second = new RecordingAdapter(SCRIPT)
+    ctx.llm.registerAdapter(['route'], second)
+    reasoning.resolve({
+      efforts: [{ id: ReasoningEffortId('high'), name: 'High' }],
+      defaultEffort: ReasoningEffortId('high'),
+    })
+    await draining
+
+    expect(first.lastOptions?.reasoningEffort).toBe(ReasoningEffortId('high'))
+    expect(second.lastOptions).toBeUndefined()
+  })
+
+  it('prepares a one-shot registration-bound call and rejects config drift', async () => {
+    const ctx = new Context()
+    await ctx.plugin(LlmService)
+    const adapter = new CatalogAdapter(
+      { id: 'route', name: 'Route' },
+      [],
+      {},
+      {
+        model: {
+          efforts: [{ id: ReasoningEffortId('high'), name: 'High' }],
+          defaultEffort: ReasoningEffortId('high'),
+        },
+      },
+    )
+    ctx.llm.registerAdapter(['route'], adapter)
+    const prepared = await ctx.llm.prepareCall({ provider: 'route', model: 'model' })
+    expect(Object.isFrozen(prepared.config)).toBe(true)
+    const stream = prepared.stream({
+      ...prepared.config,
+      model: 'other',
+      messages: [],
+    })
+
+    await expect((async () => {
+      for await (const _chunk of stream) { /* drain */ }
+    })()).rejects.toMatchObject({ code: 'INVALID_PREPARED_CALL' })
+    expect(() => prepared.stream({
+      ...prepared.config,
+      messages: [],
+    })).toThrow(expect.objectContaining({ code: 'INVALID_PREPARED_CALL' }))
+  })
+
+  it('passes cancellation through exact-model resolution', async () => {
+    const ctx = new Context()
+    await ctx.plugin(LlmService)
+    const started = Promise.withResolvers<undefined>()
+    const adapter = new class extends ScriptedAdapter {
+      override resolveModel(
+        _provider: string,
+        _model: string,
+        signal?: AbortSignal,
+      ): Promise<LlmResolvedModelInfo> {
+        started.resolve(undefined)
+        return new Promise<LlmResolvedModelInfo>((_resolve, reject) => {
+          if (signal === undefined) {
+            reject(new Error('missing reasoning signal'))
+            return
+          }
+          if (signal.aborted) {
+            reject(signal.reason instanceof Error ? signal.reason : new Error('reasoning aborted'))
+            return
+          }
+          signal.addEventListener('abort', () => {
+            reject(signal.reason instanceof Error ? signal.reason : new Error('reasoning aborted'))
+          }, { once: true })
+        })
+      }
+    }(SCRIPT)
+    ctx.llm.registerAdapter(['route'], adapter)
+    const controller = new AbortController()
+    const resolving = ctx.llm.resolveCallConfig(
+      { provider: 'route', model: 'model' },
+      controller.signal,
+    )
+
+    await started.promise
+    const reason = new Error('cancel reasoning')
+    controller.abort(reason)
+    await expect(resolving).rejects.toBe(reason)
  })

  it.each([0, -1, 1.5, Number.NaN])(
@@ -770,7 +1038,7 @@ describe('LlmService', () => {
        [],
        { model: { contextWindow } },
      ))
-      await expect(ctx.llm.resolveModelContext('route', 'model'))
+      await expect(ctx.llm.resolveModelInfo('route', 'model'))
        .rejects.toMatchObject({ code: 'INVALID_MODEL_CONTEXT' })
    },
  )
@@ -1,6 +1,6 @@
 # Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
 # side as of the last confirmed-consistent state. Both languages carry equal authority;
 # after editing either side, bring the other along and re-record with:
-#   pnpm run verify-translation-pairing --write
-README.md: ccb18d725feaa397520f5ee17e2900355e7d08c2
-README.zh.md: 6ab48b0f5a704fa85e4bceffd886490462287f6a
+#   pnpm run verify-translation-pairing --write packages/llm/token-meter/README.md
+README.md: 578728ded9cf51a12abcd70d541404e995028f26
+README.zh.md: 51518e98c43e740822970c1a39154f550ea962dc
@@ -6,7 +6,7 @@ Replay-aware token measurement through the singleton `ctx.tokenMeter` service. I

 ## Configuration

-The estimator has no settings. It intentionally uses one fixed heuristic: four characters per token plus structural overhead for roles, blocks, and request-envelope fields. Any key is rejected, including the obsolete global `contextWindow`; model capacity belongs to the adapter that owns an exact provider/model route and is available through `ctx.llm.resolveModelContext()`.
+The estimator has no settings. It intentionally uses one fixed heuristic: four characters per token plus structural overhead for roles, blocks, and request-envelope fields. Any key is rejected, including the obsolete global `contextWindow`; model capacity belongs to the adapter that owns an exact provider/model route and is available through `ctx.llm.resolveModelInfo().context`.

 ## Measurement contract

@@ -6,7 +6,7 @@

 ## 配置

-估算器没有设置。它有意使用一项固定启发式规则：每个 token 按四个字符估算，再加上角色、块与请求 envelope 字段的结构开销。任何 key 都会被拒绝，包括已废弃的全局 `contextWindow`；模型容量属于拥有精确提供方／模型路由的适配器，可通过 `ctx.llm.resolveModelContext()` 获取。
+估算器没有设置。它有意使用一项固定启发式规则：每个 token 按四个字符估算，再加上角色、块与请求 envelope 字段的结构开销。任何 key 都会被拒绝，包括已废弃的全局 `contextWindow`；模型容量属于拥有精确提供方／模型路由的适配器，可通过 `ctx.llm.resolveModelInfo().context` 获取。

 ## 测量契约

@@ -11,7 +11,7 @@ import { delimiter as pathDelimiter } from 'node:path'
 import type { Context } from 'cordis'
 import { decodeStorageRecord } from '@deepseek-ai/dsh-session'
 import type { SessionEvent } from '@deepseek-ai/dsh-session'
-import type { GenerateOptions, LlmModelContext, LlmModelInfo, LlmProviderInfo, StreamChunk } from '@deepseek-ai/dsh-llm'
+import type { GenerateOptions, LlmModelInfo, LlmProviderInfo, LlmResolvedModelInfo, StreamChunk } from '@deepseek-ai/dsh-llm'
 import { LlmAdapter, LlmError, assertNever } from '@deepseek-ai/dsh-llm'

 /**
@@ -426,12 +426,20 @@ class ReplayAdapter extends LlmAdapter {
    })))
  }

-  override resolveModelContext(provider: string, model: string): Promise<LlmModelContext | undefined> {
+  override resolveModel(provider: string, model: string): Promise<LlmResolvedModelInfo> {
    const configured = this.providers.get(provider)
    /* v8 ignore next -- LlmService only asks about routes registered from this same map. */
-    if (configured === undefined) return Promise.resolve(undefined)
-    const contextWindow = configured.models?.find(candidate => candidate.id === model)?.contextWindow
-    return Promise.resolve(contextWindow === undefined ? undefined : { contextWindow })
+    if (configured === undefined) return Promise.resolve({ provider, id: model, name: model })
+    const configuredModel = configured.models?.find(candidate => candidate.id === model)
+    return Promise.resolve({
+      provider,
+      id: model,
+      name: configuredModel?.name ?? model,
+      ...configuredModel?.description === undefined ? {} : { description: configuredModel.description },
+      ...configuredModel?.contextWindow === undefined
+        ? {}
+        : { context: { contextWindow: configuredModel.contextWindow } },
+    })
  }

  override stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
@@ -338,10 +338,12 @@ describe('installLlmReplay (through the real LlmService)', () => {
      { provider: 'deepseek', id: 'pro', name: 'Pro', description: 'Larger model' },
    ])
    await expect(ctx.llm.listModels('empty')).resolves.toEqual([])
-    await expect(ctx.llm.resolveModelContext('deepseek', 'flash')).resolves.toEqual({ contextWindow: 128_000 })
-    await expect(ctx.llm.resolveModelContext('deepseek', 'pro')).resolves.toBeUndefined()
-    await expect(ctx.llm.resolveModelContext('deepseek', 'unlisted')).resolves.toBeUndefined()
-    await expect(ctx.llm.resolveModelContext('empty', 'unlisted')).resolves.toBeUndefined()
+    await expect(ctx.llm.resolveModelInfo('deepseek', 'flash')).resolves.toMatchObject({
+      context: { contextWindow: 128_000 },
+    })
+    await expect(ctx.llm.resolveModelInfo('deepseek', 'pro')).resolves.not.toHaveProperty('context')
+    await expect(ctx.llm.resolveModelInfo('deepseek', 'unlisted')).resolves.not.toHaveProperty('context')
+    await expect(ctx.llm.resolveModelInfo('empty', 'unlisted')).resolves.not.toHaveProperty('context')
    expect(await drain(ctx.llm.stream({ provider: 'deepseek', model: 'pro', messages: [] }))).toEqual(TEXT_CHUNKS)

    dispose()
@@ -1,6 +1,6 @@
 # Bilingual-pair consistency record (docs/i18n/README.md): the git blob hash of each
 # side as of the last confirmed-consistent state. Both languages carry equal authority;
 # after editing either side, bring the other along and re-record with:
-#   pnpm run verify-translation-pairing --write
-README.md: 3d64de9f0703838cad10f8e04665ec4b985d00dc
-README.zh.md: 5cf41dd76c7c28cd2d605466c7c10cfe1c1dd958
+#   pnpm run verify-translation-pairing --write packages/ui/tui/README.md
+README.md: 84ed3de78469ab778118ee5599acfd8476b0ecd1
+README.zh.md: 771b89a91077db7543713b4ce1b5fce0c30c2a16
@@ -12,7 +12,7 @@ This package owns interactive terminal presentation and input only. It injects `

 After terminal startup succeeds, the package provides the terminal-local `ctx.tui` extension service. A plugin that injects it can call `openOverlay()` with a component factory and constrained layout options; the host exposes the viewport, semantic theme, display-text escaping, redraw, close, and a lifetime signal, but not the pi-tui tree, terminal, focus controller, or overlay handle. Plugin overlays, the model selector, and user questions share one FIFO modal queue. Each request is an effect of the calling plugin fiber, so unload removes queued work or closes visible work before cleanup settles; terminal shutdown unloads dependents before stopping pi-tui. Overlay state is not logged or replayed. Component code is trusted and may render ANSI styling, but must pass untrusted text through `host.display()`. The [interactive-extension Agent Note](../../../.agents/notes/implemented/architecture/2026-07-22-tui-interactive-extension-service.md) owns the boundary and rejected alternatives.

-The TUI rebuilds resumed history from the active session surface, renders Markdown responses and reasoning, applies each tool's `presentCall` / `presentResult` intent to terminal, diff, or generic cards, keeps the latest `todo/write` plan above the editor, and presents `ctx.userInteraction` questions in a wide bottom-left keyboard panel with progress, numbered options, and aligned descriptions. The latest logged session title becomes the header subtitle, with `welcome` before a title exists, and the terminal window title becomes `<session title> — <configured title>`. A durable `llm/retry` event retracts the failed step's live chunks and renders the scheduled retry count, delay, and failure in the transcript; success, exhaustion, and cancellation then settle through ordinary session events. The footer totals each logged model step's usage once, including failed attempts, while treating committed-message usage as a fallback for logs without a usage chunk. Its idle view compares token-meter pressure with `ctx.llm.resolveModelContext()` for the current route, displays `context unknown` when the adapter has no capacity metadata, and also shows tool-card mode and the current model with reasoning state; while the agent runs, an elapsed working indicator and `esc interrupt` replace that summary. Surface replacement events rebuild the transcript so compacted history does not reappear.
+The TUI rebuilds resumed history from the active session surface, renders Markdown responses and reasoning, applies each tool's `presentCall` / `presentResult` intent to terminal, diff, or generic cards, keeps the latest `todo/write` plan above the editor, and presents `ctx.userInteraction` questions in a wide bottom-left keyboard panel with progress, numbered options, and aligned descriptions. The latest logged session title becomes the header subtitle, with `welcome` before a title exists, and the terminal window title becomes `<session title> — <configured title>`. A durable `llm/retry` event retracts the failed step's live chunks and renders the scheduled retry count, delay, and failure in the transcript; success, exhaustion, and cancellation then settle through ordinary session events. The footer totals each logged model step's usage once, including failed attempts, while treating committed-message usage as a fallback for logs without a usage chunk. Its idle view compares token-meter pressure with `ctx.llm.resolveModelInfo()` context for the current route, displays `context unknown` when the adapter has no capacity metadata, and also shows tool-card mode plus the current model and any explicitly selected reasoning effort; while the agent runs, an elapsed working indicator and `esc interrupt` replace that summary. Surface replacement events rebuild the transcript so compacted history does not reappear.

 An embedding may provide `TuiRuntime.formatCwd` when its logical workspace label differs from the session's host directory. The override changes only the footer label; tools continue to use the session `cwd`.

@@ -24,13 +24,13 @@ When optional `ctx.sessionReferences` is mounted, the same `@` menu also offers

 While the agent is running, ordinary editor submissions call `agent.steer()`; otherwise they call `agent.followup()`. A slash at the start of the submitted line enters `ctx.commands` instead: known commands execute directly, unknown commands produce a warning, and neither path automatically reaches the model. A command producer may explicitly schedule agent work; [`dsh-plan-mode`](../../plan/plan-mode/README.md#model-and-human-surfaces) uses that contract for `/plan [message]`. The TUI registers `/help`, `/model`, `/clear`, `/reasoning`, `/tools`, `/redraw`, `/reload`, `/resume`, `/status`, and `/exit` as agent-scoped definitions; every other effective command joins autocomplete and `/help` dynamically, as do `/skill:` completions. A status line above the editor reports the turn phase the TUI derives from session events — waiting for the first token, thinking, responding, or executing tools — with the elapsed time in that phase and the running step total, refreshed each second, and ends with the `Enter sends steering, Esc cancels` hint; while steering messages wait to reach the model it inserts a `N queued ·` badge before the hint that clears as each drains. Ctrl+C or Escape cancels a running turn. Tool cards collapse long bodies into a configurable head/tail preview; Ctrl+O toggles every card between its preview and full output. Ctrl+R toggles reasoning, Ctrl+L redraws, and Ctrl+D exits while idle.

-`/model` opens the advisory `ctx.llm` catalog as a keyboard selector: Up/Down moves, Enter selects, and Escape closes it. `/model <model>` still selects an unambiguous model id directly, while `/model <provider>/<model>` selects an exact target. The configured target or latest logged request header initializes the selector, and an unlisted current model remains visible because catalogs are advisory. Selection is local to this TUI session. Prompt assembly snapshots the target for one step, replaces `{{provider}}` and `{{model}}`, and applies the same pair through `agent/request`; a switch during assembly therefore starts with a later step. The request header durably records targets that reach the model, while an unused selection remains process-local.
+`/model` opens the advisory `ctx.llm` catalog as a keyboard selector: Up/Down moves, Shift+Tab cycles the focused model's adapter-advertised reasoning efforts in display order, Enter selects the model and effort, and Escape closes it. When an adapter does not advertise a default effort, the cycle also includes `provider default`, which clears an explicit selection; models without selectable effort metadata ignore Shift+Tab. The selector renders the exact advertised effort list—including `off` when present—and does not synthesize, clamp, or transfer an effort between models. `/model <model>` still selects an unambiguous model id directly, while `/model <provider>/<model>` selects an exact target and uses its adapter default when one exists. The configured target or latest logged request header initializes the selector, and an unlisted current model remains visible because catalogs are advisory. Selection is local to this TUI session. Prompt assembly snapshots the target for one step, replaces `{{provider}}` and `{{model}}`, and applies the same provider/model/reasoning-effort target through `agent/request`; a switch during assembly therefore starts with a later step. The request header durably records targets that reach the model, while an unused selection remains process-local.

 `/reload` (EXPERIMENTAL, dev-only) re-reads every file-backed loader config tree and applies the diff to the running app — the HMR watcher's config path, invoked manually; it needs the cordis Loader in the context and degrades to a warning without one, runs only while the agent is idle, and refuses re-entry while a reload is in flight. Module-source hot reload remains watcher-owned. When a `skills` service is mounted, `/skill:<name> [instructions]` loads that skill's instructions into the conversation as a user turn; autocomplete lists the model-invocable skills, and any skill (including a model-disabled one) is loadable by its exact name.

-The footer sums the session's reported usage as `↑<uncached input> ↓<output>`, followed by `cache <rate>%` once any input has been billed — the share of billed prompt tokens (uncached input plus cache reads and writes) served from the provider cache, rounded to a percent. It also compares token-meter pressure with `ctx.llm.resolveModelContext()` for the current route (omitting the context share when the adapter has no capacity metadata) and shows the current model and tool-card mode; the right side clips first when the footer is narrow.
+The footer sums the session's reported usage as `↑<uncached input> ↓<output>`, followed by `cache <rate>%` once any input has been billed — the share of billed prompt tokens (uncached input plus cache reads and writes) served from the provider cache, rounded to a percent. It also compares token-meter pressure with `ctx.llm.resolveModelInfo()` context for the current route (omitting the context share when the adapter has no capacity metadata) and shows the current model and tool-card mode; the right side clips first when the footer is narrow.

-`/status` adds a point-in-time diagnostics card to the transcript and remains available while the agent runs. It reports the session id, title, working directory, selected provider/model, reasoning-block visibility, agent state, event/turn/step/tool-call counts, exact input/output/cache token buckets, KV-cache hit rate, token-meter context use and capacity, creation time, and latest event time. Missing titles, models, cache input, or context capacity are labeled instead of inferred. The card is terminal-only and does not duplicate the compact footer.
+`/status` adds a point-in-time diagnostics card to the transcript and remains available while the agent runs. It reports the session id, title, working directory, selected provider/model, selected reasoning effort or default behavior, reasoning-block visibility, agent state, event/turn/step/tool-call counts, exact input/output/cache token buckets, KV-cache hit rate, token-meter context use and capacity, creation time, and latest event time. Missing titles, models, cache input, or context capacity are labeled instead of inferred. The card is terminal-only and does not duplicate the compact footer.

 `/resume` opens a full-viewport keyboard selector over the current workspace instead of a centered dialog. Its focused search field starts immediately after the search glyph and emits pi-tui's cursor marker, so terminal IME composition remains anchored inside the field. Candidates are sorted by last logged activity and searchable by log-backed title or session id; each row reports current/live/persisted state, last turn outcome, recent provider/model, and durable goal phase when present. Up/Down and Page Up/Page Down navigate, Enter resumes, Escape clears a non-empty search before a second Escape cancels, and Ctrl+C cancels directly. The current session, a session already live in this runtime, an unreadable log, a mismatched cwd, or a session whose logged provider has no current adapter remains visible but disabled. Selection repeats those checks and requires the current agent to be idle before flushing the current session. The TUI then stops the terminal UI and calls the optional host-owned `TuiRuntime.handoffResume`; where `process.execve` is available, the shipped `dsh` host disposes the app and replaces its process. Resume restores the same `SessionId`, transcript, title, todos, and durable goal; goal activation remains disarmed and the TUI asks for human confirmation or `/goal resume`.

@@ -49,7 +49,7 @@ The footer sums the session's reported usage as `↑<uncached input> ↓<output>
 | `maxResumeOptions` | `8` | Visible sessions in the resume selector |
 | `questionDialogWidth` | `200` | Question-panel width in columns, clamped to the terminal |
 | `questionDialogMaxHeight` | `20` | Question-panel maximum rows |
-| `modelDialogWidth` | `72` | Model-selector width in columns |
+| `modelDialogWidth` | `76` | Model-selector width in columns |
 | `modelDialogMaxHeight` | `20` | Model-selector maximum rows |
 | `fileSearchMaxResults` | `20` | Maximum file and directory candidates shown for one `@` query |
 | `fileSearchMaxEntries` | `10000` | Maximum paths retained in the bounded workspace index used by bare fuzzy queries |
@@ -116,7 +116,7 @@ The fixed instruction is part of the stable system-prompt prefix and is reusable

 #### What the model sees

-The `/model` command text and keyboard-selector input are not logged or sent. New steps receive the selected provider/model pair in both prompt variables and request routing.
+The `/model` command text and keyboard-selector input are not logged or sent. New steps receive the selected provider/model route in prompt variables and the selected provider/model/reasoning-effort target in request routing.

 #### Token effect

@@ -12,7 +12,7 @@ DeepSeek Harness agent（智能体）的交互式终端入口，基于 [`@earend

 终端成功启动后，本包会提供终端本地的 `ctx.tui` 扩展服务。注入该服务的插件可以使用组件工厂和受限布局选项调用 `openOverlay()`；宿主会公开 viewport、语义化主题、显示文本转义、重绘、关闭和生命周期信号，但不公开 pi-tui 树、终端、焦点控制器或 overlay 句柄。插件 overlay、模型选择器和用户问题共用一个 FIFO 模态队列。每个请求都是调用方插件 fiber 的 effect，因此卸载会移除排队工作，或在清理结算前关闭可见工作；终端关闭会先卸载依赖项，再停止 pi-tui。Overlay 状态不会记录或回放。组件代码受信任，可以渲染 ANSI 样式，但必须通过 `host.display()` 处理不受信任文本。[交互式扩展 Agent Note](../../../.agents/notes/implemented/architecture/2026-07-22-tui-interactive-extension-service.md)持有该边界和未采用的替代方案。

-TUI 从活跃会话表层重建已恢复历史，渲染 Markdown 响应与 reasoning，将每个工具的 `presentCall` / `presentResult` 意图应用到终端、diff 或通用卡片，把最新的 `todo/write` 计划保留在编辑器上方，并在左下方宽键盘面板中展示 `ctx.userInteraction` 问题，包含进度、编号选项和对齐说明。最新记录的会话标题成为 header 副标题；标题不存在时使用 `welcome`，终端窗口标题则变为 `<session title> — <configured title>`。持久 `llm/retry` 事件会撤回失败步骤的实时 chunk，并在 transcript（文本记录）中渲染计划重试次数、延迟和失败；成功、耗尽与取消随后通过普通会话事件结算。Footer 会对每个已记录模型步骤的用量只计一次，包括失败尝试；对于没有用量 chunk 的日志，以已提交消息的用量回退。其空闲视图会比较 token-meter 压力与当前路由的 `ctx.llm.resolveModelContext()`；适配器没有容量元数据时显示 `context unknown`，并显示工具卡片模式、当前模型和 reasoning 状态。Agent 运行时，这些摘要会替换为已经过工作时间指示器和 `esc interrupt`。表层替换事件会重建 transcript，使经过压缩（compaction）的历史不会再次出现。
+TUI 从活跃会话表层重建已恢复历史，渲染 Markdown 响应与 reasoning，将每个工具的 `presentCall` / `presentResult` 意图应用到终端、diff 或通用卡片，把最新的 `todo/write` 计划保留在编辑器上方，并在左下方宽键盘面板中展示 `ctx.userInteraction` 问题，包含进度、编号选项和对齐说明。最新记录的会话标题成为 header 副标题；标题不存在时使用 `welcome`，终端窗口标题则变为 `<session title> — <configured title>`。持久 `llm/retry` 事件会撤回失败步骤的实时 chunk，并在 transcript（文本记录）中渲染计划重试次数、延迟和失败；成功、耗尽与取消随后通过普通会话事件结算。Footer 会对每个已记录模型步骤的用量只计一次，包括失败尝试；对于没有用量 chunk 的日志，以已提交消息的用量回退。其空闲视图会将 token-meter 压力与 `ctx.llm.resolveModelInfo()` 为当前路由返回的上下文容量进行比较；适配器没有容量元数据时显示 `context unknown`，并显示工具卡片模式、当前模型，以及任何显式选择的推理强度。Agent 运行时，这些摘要会替换为已经过工作时间指示器和 `esc interrupt`。表层替换事件会重建 transcript，使经过压缩（compaction）的历史不会再次出现。

 如果逻辑工作区标签与会话宿主目录不同，嵌入方可以提供 `TuiRuntime.formatCwd`。该覆盖只改变 footer 标签；工具仍使用会话 `cwd`。

@@ -24,13 +24,13 @@ TUI 从活跃会话表层重建已恢复历史，渲染 Markdown 响应与 reaso

 Agent 运行时，普通编辑器提交会调用 `agent.steer()`；其他时候调用 `agent.followup()`。提交行以斜杠开头时会改为进入 `ctx.commands`：已知命令直接执行，未知命令产生警告，两条路径都不会自动到达模型。命令生产方可以显式调度 agent 工作；[`dsh-plan-mode`](../../plan/plan-mode/README.md#model-and-human-surfaces) 使用该契约实现 `/plan [message]`。TUI 将 `/help`、`/model`、`/clear`、`/reasoning`、`/tools`、`/redraw`、`/reload`、`/resume`、`/status` 和 `/exit` 注册为 agent 作用域定义；其他所有有效命令都会动态加入自动补全与 `/help`，`/skill:` 补全也相同。编辑器上方的状态行会报告 TUI 从会话事件派生的轮次阶段，包括等待首个 token、思考、响应或执行工具；它显示该阶段已经过时间和运行中的步骤总数，每秒刷新，并以 `Enter sends steering, Esc cancels` 提示结尾。Steering 消息等待到达模型期间，会在提示前插入 `N queued ·` 徽标，每条消息排空后随即清除。Ctrl+C 或 Escape 会取消运行中的轮次。工具卡片把长主体折叠为可配置的头尾预览；Ctrl+O 在预览与完整输出之间切换所有卡片。Ctrl+R 切换 reasoning，Ctrl+L 重绘，Ctrl+D 在空闲时退出。

-`/model` 将建议性的 `ctx.llm` catalog 打开为键盘选择器：Up/Down 移动，Enter 选择，Escape 关闭。`/model <model>` 仍可直接选择无歧义的模型 id，`/model <provider>/<model>` 则选择精确目标。已配置目标或最新记录的请求 header 会初始化选择器；由于 catalog 仅提供建议，未列出的当前模型仍会显示。选择仅对本 TUI 会话有效。提示词组装会为一个步骤建立目标快照，替换 `{{provider}}` 和 `{{model}}`，并通过 `agent/request` 应用同一组值；因此组装期间的切换会从后续步骤开始生效。请求 header 会持久记录真正到达模型的目标，未使用的选择则只存在于进程本地。
+`/model` 将建议性的 `ctx.llm` catalog 打开为键盘选择器：Up/Down 移动，Shift+Tab 按显示顺序循环切换适配器为焦点模型公布的推理强度，Enter 选择模型和推理强度，Escape 关闭。适配器未公布默认推理强度时，循环还会包含 `provider default`，该项会清除显式选择；没有可选推理强度元数据的模型会忽略 Shift+Tab。选择器会原样呈现公布的推理强度列表（包括存在时的 `off`），不会合成、自动调整或在模型之间转移推理强度。`/model <model>` 仍可直接选择无歧义的模型 id，`/model <provider>/<model>` 则选择精确目标，并在存在时使用其适配器默认值。已配置目标或最新记录的请求 header 会初始化选择器；由于 catalog 仅提供建议，未列出的当前模型仍会显示。选择仅对本 TUI 会话有效。提示词组装会为一个步骤建立目标快照，替换 `{{provider}}` 和 `{{model}}`，并通过 `agent/request` 应用同一个提供方／模型／推理强度目标；因此组装期间的切换会从后续步骤开始生效。请求 header 会持久记录真正到达模型的目标，未使用的选择则只存在于进程本地。

 `/reload`（实验性，仅开发环境）会重新读取所有基于文件的 loader 配置树，并把 diff 应用到运行中 app：它手动调用 HMR（热模块替换）watcher 的配置路径；上下文中必须有 cordis Loader，否则退化为警告。它只在 agent 空闲时运行，并拒绝 reload 进行期间的再次进入。模块源代码热重载仍由 watcher 持有。挂载 `skills` 服务后，`/skill:<name> [instructions]` 会把该 skill 的指令作为一个 user 轮次加载到会话中；自动补全列出模型可调用的 skill，任何 skill（包括模型禁用的 skill）都可通过精确名称加载。

-Footer 将会话报告的用量汇总为 `↑<uncached input> ↓<output>`；任何输入计费后，后面会显示 `cache <rate>%`，表示提供方缓存服务的已计费提示词 token 占比（未缓存输入加缓存读写），并四舍五入为百分比。它还会比较 token-meter 压力与当前路由的 `ctx.llm.resolveModelContext()`（适配器没有容量元数据时省略上下文占比），并显示当前模型和工具卡片模式；footer 过窄时，右侧会优先裁剪。
+Footer 将会话报告的用量汇总为 `↑<uncached input> ↓<output>`；任何输入计费后，后面会显示 `cache <rate>%`，表示提供方缓存服务的已计费提示词 token 占比（未缓存输入加缓存读写），并四舍五入为百分比。它还会将 token-meter 压力与 `ctx.llm.resolveModelInfo()` 为当前路由返回的上下文容量进行比较（适配器没有容量元数据时省略上下文占比），并显示当前模型和工具卡片模式；footer 过窄时，右侧会优先裁剪。

-`/status` 会向 transcript 添加一张时间点诊断卡片，并在 agent 运行时保持可用。它报告会话 id、标题、工作目录、所选提供方／模型、reasoning 块可见性、agent 状态、事件／轮次／步骤／工具调用计数、精确输入／输出／缓存 token bucket、KV-cache 命中率、token-meter 上下文用量与容量、创建时间和最新事件时间。缺失标题、模型、缓存输入或上下文容量时会明确标记，而非推断。该卡片只存在于终端，不会重复紧凑 footer。
+`/status` 会向 transcript 添加一张时间点诊断卡片，并在 agent 运行时保持可用。它报告会话 id、标题、工作目录、所选提供方／模型、所选推理强度或默认行为、reasoning 块可见性、agent 状态、事件／轮次／步骤／工具调用计数、精确输入／输出／缓存 token bucket、KV-cache 命中率、token-meter 上下文用量与容量、创建时间和最新事件时间。缺失标题、模型、缓存输入或上下文容量时会明确标记，而非推断。该卡片只存在于终端，不会重复紧凑 footer。

 `/resume` 会针对当前工作区打开全 viewport 键盘选择器，而非居中对话框。获得焦点的搜索字段紧跟搜索 glyph 开始，并发出 pi-tui 的 cursor marker，使终端 IME 组合保持锚定在字段内。候选项按最近记录的活动排序，可按日志支持的标题或会话 id 搜索；每行报告 current/live/persisted 状态、上一轮次结果、近期提供方／模型，以及存在时的持久目标阶段。Up/Down 与 Page Up/Page Down 导航，Enter 恢复，Escape 会先清除非空搜索，再次按下才取消，Ctrl+C 则直接取消。当前会话、已在本运行时中活跃的会话、不可读日志、cwd 不匹配或日志所记提供方没有当前适配器的会话仍会显示，但不可选择。选择时会重复这些检查，并要求当前 agent 空闲，随后 flush 当前会话。TUI 接着停止终端 UI，并调用由宿主持有的可选 `TuiRuntime.handoffResume`；存在 `process.execve` 时，发布的 `dsh` 宿主会对 app 执行 dispose（资源释放）并替换自身进程。恢复操作保留相同的 `SessionId`、transcript、标题、todo 和持久目标；目标激活仍保持解除，TUI 会要求用户确认或执行 `/goal resume`。

@@ -49,7 +49,7 @@ Footer 将会话报告的用量汇总为 `↑<uncached input> ↓<output>`；任
 | `maxResumeOptions` | `8` | 恢复选择器中可见的会话数 |
 | `questionDialogWidth` | `200` | 问题面板宽度（列数），以终端宽度为上限 |
 | `questionDialogMaxHeight` | `20` | 问题面板最大行数 |
-| `modelDialogWidth` | `72` | 模型选择器宽度（列数） |
+| `modelDialogWidth` | `76` | 模型选择器宽度（列数） |
 | `modelDialogMaxHeight` | `20` | 模型选择器最大行数 |
 | `fileSearchMaxResults` | `20` | 一次 `@` 查询显示的最大文件和目录候选数 |
 | `fileSearchMaxEntries` | `10000` | 无路径模糊查询使用的有界工作区索引最多保留的路径数 |
@@ -116,7 +116,7 @@ Paths prefixed with @ are files explicitly referenced by the user. Use the read

 #### 模型看到的内容

-`/model` 命令文本和键盘选择器输入均不会记录或发送。新步骤会在提示词变量和请求路由中同时收到所选提供方／模型对。
+`/model` 命令文本和键盘选择器输入均不会记录或发送。新步骤会在提示词变量中收到所选提供方／模型路由，并在请求路由中收到所选提供方／模型／推理强度目标。

 #### Token 影响

@@ -31,6 +31,7 @@ import {
  type EditorTheme,
  type Focusable,
  type MarkdownTheme,
+  type SelectItem,
  type SelectListTheme,
  type SlashCommand,
  type Terminal,
@@ -53,6 +54,8 @@ import { assertNever, errorChain } from '@deepseek-ai/dsh-llm'
 import type {
  ContentBlock,
  LlmModelInfo,
+  LlmModelReasoningInfo,
+  ReasoningEffortId,
  StreamChunk,
  TokenUsage,
 } from '@deepseek-ai/dsh-llm'
@@ -233,7 +236,7 @@ const maxModelOptionsSchema = z.number().step(1).min(1).default(8)
 const maxResumeOptionsSchema = z.number().step(1).min(1).default(8)
 const questionDialogWidthSchema = z.number().step(1).min(20).default(200)
 const questionDialogMaxHeightSchema = z.number().step(1).min(6).default(20)
-const modelDialogWidthSchema = z.number().step(1).min(20).default(72)
+const modelDialogWidthSchema = z.number().step(1).min(20).default(76)
 const modelDialogMaxHeightSchema = z.number().step(1).min(6).default(20)
 const fileSearchMaxResultsSchema = z.number().step(1).min(1).default(DEFAULT_FILE_SEARCH_MAX_RESULTS)
 const fileSearchMaxEntriesSchema = z.number().step(1).min(1).default(DEFAULT_FILE_SEARCH_MAX_ENTRIES)
@@ -356,7 +359,7 @@ export function resolveTuiConfig(config: TuiConfig | undefined): ResolvedTuiConf
    maxResumeOptions: config?.maxResumeOptions ?? 8,
    questionDialogWidth: config?.questionDialogWidth ?? 200,
    questionDialogMaxHeight: config?.questionDialogMaxHeight ?? 20,
-    modelDialogWidth: config?.modelDialogWidth ?? 72,
+    modelDialogWidth: config?.modelDialogWidth ?? 76,
    modelDialogMaxHeight: config?.modelDialogMaxHeight ?? 20,
    fileSearchMaxResults: config?.fileSearchMaxResults ?? DEFAULT_FILE_SEARCH_MAX_RESULTS,
    fileSearchMaxEntries: config?.fileSearchMaxEntries ?? DEFAULT_FILE_SEARCH_MAX_ENTRIES,
@@ -580,15 +583,39 @@ function textBlocks(content: readonly ContentBlock[], type: 'text' | 'reasoning'
 interface ModelChoice extends AgentLlmTarget {
  modelName: string
  description?: string
+  reasoning?: LlmModelReasoningInfo
+}
+
+interface ModelDialogSelection {
+  choice: ModelChoice
+  reasoningEffort: ReasoningEffortId | undefined
 }

 function targetLabel(target: AgentLlmTarget): string {
  return `${target.provider}/${target.model}`
 }

+function compactTargetLabel(target: AgentLlmTarget): string {
+  return `${target.model}${target.reasoningEffort === undefined ? '' : ` ${target.reasoningEffort}`}`
+}
+
+function targetReasoningLabel(choice: ModelChoice, effort: ReasoningEffortId | undefined): string | undefined {
+  if (effort === undefined) return choice.reasoning === undefined ? undefined : 'provider default'
+  return choice.reasoning?.efforts.find(candidate => candidate.id === effort)?.name ?? effort
+}
+
 function initialTarget(agent: Agent): AgentLlmTarget | undefined {
  const logged = agent.session.requestHeader()?.config
-  if (logged !== undefined) return { provider: logged.provider, model: logged.model }
+  if (logged !== undefined) {
+    if (logged.reasoningEffort === undefined) {
+      return { provider: logged.provider, model: logged.model }
+    }
+    return {
+      provider: logged.provider,
+      model: logged.model,
+      reasoningEffort: logged.reasoningEffort,
+    }
+  }
  if (agent.options.provider === undefined || agent.options.model === undefined) return undefined
  return { provider: agent.options.provider, model: agent.options.model }
 }
@@ -607,11 +634,15 @@ async function readModelChoices(
    ) {
      models.push({ provider: provider.id, id: current.model, name: current.model })
    }
-    return models.map((model): ModelChoice => ({
-      provider: provider.id,
-      model: model.id,
-      modelName: model.name,
-      ...model.description === undefined ? {} : { description: model.description },
+    return Promise.all(models.map(async (model): Promise<ModelChoice> => {
+      const reasoning = (await ctx.llm.resolveModelInfo(provider.id, model.id)).reasoning
+      return {
+        provider: provider.id,
+        model: model.id,
+        modelName: model.name,
+        ...model.description === undefined ? {} : { description: model.description },
+        ...reasoning === undefined ? {} : { reasoning },
+      }
    }))
  }))
  return groups.flat()
@@ -1226,24 +1257,40 @@ function renderDialog(

 class ModelDialog implements Component {
  private readonly list: SelectList
+  private readonly items: Map<string, SelectItem>
+  private readonly choices: Map<string, ModelChoice>
+  private readonly efforts: Map<string, ReasoningEffortId | undefined>
+  private readonly currentValue: string | undefined

  constructor(
    choices: readonly ModelChoice[],
    current: AgentLlmTarget | undefined,
    maxVisible: number,
    private readonly palette: Palette,
-    done: (choice: ModelChoice) => void,
+    done: (selection: ModelDialogSelection) => void,
    cancel: () => void,
  ) {
-    this.list = new SelectList(choices.map(choice => ({
-      value: targetLabel(choice),
-      label: displayText(targetLabel(choice)),
-      description: [
-        displayText(choice.modelName),
-        ...choice.description === undefined ? [] : [displayText(choice.description)],
-        ...current?.provider === choice.provider && current.model === choice.model ? ['current'] : [],
-      ].join(' — '),
-    })), maxVisible, dialogSelectTheme(palette))
+    this.items = new Map()
+    this.choices = new Map()
+    this.efforts = new Map()
+    this.currentValue = current === undefined ? undefined : targetLabel(current)
+    for (const choice of choices) {
+      const value = targetLabel(choice)
+      const isCurrent = current?.provider === choice.provider && current.model === choice.model
+      this.choices.set(value, choice)
+      this.efforts.set(
+        value,
+        isCurrent
+          ? current.reasoningEffort ?? choice.reasoning?.defaultEffort
+          : choice.reasoning?.defaultEffort,
+      )
+      this.items.set(value, {
+        value,
+        label: displayText(value),
+        description: this.describeChoice(choice, isCurrent),
+      })
+    }
+    this.list = new SelectList([...this.items.values()], maxVisible, dialogSelectTheme(palette))
    const currentIndex = current === undefined
      ? 0
      : choices.findIndex(choice => choice.provider === current.provider && choice.model === current.model)
@@ -1252,17 +1299,58 @@ class ModelDialog implements Component {
      const selected = choices.find(choice => targetLabel(choice) === item.value)
      /* v8 ignore next -- SelectList only returns values built from `choices`. */
      if (selected === undefined) return
-      done(selected)
+      done({
+        choice: selected,
+        reasoningEffort: this.efforts.get(item.value),
+      })
    }
    this.list.onCancel = cancel
  }

+  private describeChoice(choice: ModelChoice, isCurrent: boolean): string {
+    const selectedEffort = this.efforts.get(targetLabel(choice))
+    const effort = choice.reasoning?.efforts.find(candidate => candidate.id === selectedEffort)
+    const effortLabel = selectedEffort === undefined
+      ? choice.reasoning === undefined ? undefined : 'provider default'
+      : effort?.name ?? selectedEffort
+    return [
+      displayText(choice.modelName),
+      ...choice.description === undefined ? [] : [displayText(choice.description)],
+      ...effortLabel === undefined ? [] : [displayText(effortLabel)],
+      ...isCurrent ? ['current'] : [],
+    ].join(' — ')
+  }
+
+  private cycleReasoningEffort(): void {
+    const selectedItem = this.list.getSelectedItem()
+    /* v8 ignore next -- the dialog is opened only for a non-empty catalog. */
+    if (selectedItem === null) return
+    const choice = this.choices.get(selectedItem.value)
+    if (choice?.reasoning === undefined) return
+    const current = this.efforts.get(selectedItem.value)
+    const efforts: Array<ReasoningEffortId | undefined> = [
+      ...choice.reasoning.defaultEffort === undefined ? [undefined] : [],
+      ...choice.reasoning.efforts.map(effort => effort.id),
+    ]
+    const currentIndex = efforts.indexOf(current)
+    const next = efforts[(currentIndex + 1) % efforts.length]
+    this.efforts.set(selectedItem.value, next)
+    const item = this.items.get(selectedItem.value)
+    /* v8 ignore next -- items and choices are constructed from the same values. */
+    if (item === undefined) return
+    item.description = this.describeChoice(choice, selectedItem.value === this.currentValue)
+  }
+
  invalidate(): void {
    this.list.invalidate()
  }

  handleInput(data: string): void {
-    this.list.handleInput(data)
+    if (matchesKey(data, Key.shift(Key.tab))) {
+      this.cycleReasoningEffort()
+    } else {
+      this.list.handleInput(data)
+    }
    this.invalidate()
  }

@@ -1271,7 +1359,7 @@ class ModelDialog implements Component {
    return renderDialog('Select model', [
      ...this.list.render(innerWidth),
      '',
-      this.palette.dim('↑/↓ navigate • Enter select • Esc cancel'),
+      this.palette.dim('↑/↓ navigate • Shift+Tab reasoning • Enter select • Esc cancel'),
    ], width, this.palette)
  }
 }
@@ -1938,7 +2026,7 @@ export function createTuiChat(
    () => sessionTitle ?? config.welcome,
    palette,
    resolved.color && resolved.truecolor,
-    () => target.current?.model,
+    () => target.current === undefined ? undefined : compactTargetLabel(target.current),
  )
  const footer = new FooterComponent(
    agent,
@@ -1946,7 +2034,7 @@ export function createTuiChat(
    () => toolsExpanded,
    () => tokens,
    runtime.formatCwd,
-    () => target.current?.model,
+    () => target.current === undefined ? undefined : compactTargetLabel(target.current),
    () => contextWindow === undefined
      ? undefined
      : Math.min(100, Math.round(ctx.tokenMeter.measure(agent.session).totalTokens / contextWindow * 100)),
@@ -2019,8 +2107,8 @@ export function createTuiChat(
    contextWindow = undefined
    const resolution = selected === undefined
      ? Promise.resolve({ kind: 'resolved', contextWindow: undefined } as const)
-      : ctx.llm.resolveModelContext(selected.provider, selected.model).then(
-        context => ({ kind: 'resolved', contextWindow: context?.contextWindow } as const),
+      : ctx.llm.resolveModelInfo(selected.provider, selected.model).then(
+        info => ({ kind: 'resolved', contextWindow: info.context?.contextWindow } as const),
        (error: unknown) => ({ kind: 'error', error } as const),
      )
    contextResolution = resolution
@@ -2036,14 +2124,31 @@ export function createTuiChat(
  }
  resolveContextWindow(target.current)

-  const selectModel = (selected: ModelChoice): void => {
-    if (target.current?.provider === selected.provider && target.current.model === selected.model) {
-      appendNotice(`Model is already ${targetLabel(selected)}.`)
+  const selectModel = (
+    selected: ModelChoice,
+    explicitReasoning?: { effort: ReasoningEffortId | undefined },
+  ): void => {
+    const sameRoute = target.current?.provider === selected.provider && target.current.model === selected.model
+    const reasoningEffort = explicitReasoning === undefined
+      ? (sameRoute ? target.current?.reasoningEffort ?? selected.reasoning?.defaultEffort : selected.reasoning?.defaultEffort)
+      : explicitReasoning.effort
+    if (sameRoute && target.current?.reasoningEffort === reasoningEffort) {
+      const reasoning = targetReasoningLabel(selected, reasoningEffort)
+      appendNotice(`Model is already ${targetLabel(selected)}${reasoning === undefined ? '' : ` with reasoning effort ${displayText(reasoning)}`}.`)
      return
    }
-    target.current = { provider: selected.provider, model: selected.model }
+    target.current = {
+      provider: selected.provider,
+      model: selected.model,
+      ...reasoningEffort === undefined ? {} : { reasoningEffort },
+    }
    resolveContextWindow(target.current)
-    appendNotice(`Model selected: ${targetLabel(selected)}. New steps will use it.`)
+    const reasoning = targetReasoningLabel(selected, reasoningEffort)
+    appendNotice([
+      `Model selected: ${targetLabel(selected)}.`,
+      ...reasoning === undefined ? [] : [`Reasoning effort: ${displayText(reasoning)}.`],
+      'New steps will use it.',
+    ].join(' '))
  }

  const showModelSelector = (choices: readonly ModelChoice[]): void => {
@@ -2059,9 +2164,9 @@ export function createTuiChat(
        target.current,
        resolved.maxModelOptions,
        palette,
-        (selected) => {
+        (selection) => {
          void session.close()
-          selectModel(selected)
+          selectModel(selection.choice, { effort: selection.reasoningEffort })
        },
        () => { void session.close() },
      ),
@@ -2633,12 +2738,17 @@ export function createTuiChat(
    const steps = events.filter(event => event.type === 'step/start').length
    const toolCalls = events.filter(event => event.type === 'tool/call').length
    const model = target.current === undefined ? 'unset' : displayText(targetLabel(target.current))
+    const effort = target.current === undefined
+      ? 'unset'
+      : target.current.reasoningEffort === undefined
+        ? 'default'
+        : displayText(target.current.reasoningEffort)
    const groups: readonly (readonly StatusCardRow[])[] = [
      [
        ['Session', displayText(agent.session.id)],
        ['Title', displayText(sessionTitle ?? 'untitled')],
        ['Directory', displayText(cwd)],
-        ['Model', `${model} ${palette.dim(`(reasoning ${showReasoning ? 'shown' : 'hidden'})`)}`],
+        ['Model', `${model} ${palette.dim(`(effort ${effort}; reasoning blocks ${showReasoning ? 'shown' : 'hidden'})`)}`],
      ],
      [
        ['Agent', [
@@ -8,7 +8,12 @@ import AgentRegistry, {
  type AgentStatus,
  type SendOptions,
 } from '@deepseek-ai/dsh-agent'
-import type { ContentBlock, LlmModelContext, LlmModelInfo, LlmProviderInfo } from '@deepseek-ai/dsh-llm'
+import type {
+  ContentBlock,
+  LlmModelInfo,
+  LlmProviderInfo,
+  LlmResolvedModelInfo,
+} from '@deepseek-ai/dsh-llm'
 import CommandService from '@deepseek-ai/dsh-commands'
 import SessionStore, { SessionId, type Session, type SessionHeader } from '@deepseek-ai/dsh-session'
 import SystemPrompt from '@deepseek-ai/dsh-system-prompt'
@@ -47,7 +52,10 @@ export interface TuiHarnessOptions {
    providers: LlmProviderInfo[]
    models: LlmModelInfo[]
    listModels?: (provider: string) => Promise<LlmModelInfo[]>
-    resolveModelContext?: (provider: string, model: string) => Promise<LlmModelContext | undefined>
+    resolveModelInfo?: (
+      provider: string,
+      model: string,
+    ) => Promise<Pick<LlmResolvedModelInfo, 'context' | 'reasoning'>>
  }
  /** Provide a fake `sessionPersistence` service so resume surfaces can list sessions. */
  sessionPersistence?: {
@@ -118,9 +126,20 @@ export async function createTuiTestHarness<TerminalType extends Terminal, Exit e
        return catalog.listModels?.(provider)
          ?? Promise.resolve(catalog.models.filter(model => model.provider === provider).map(model => ({ ...model })))
      },
-      resolveModelContext(provider: string, model: string) {
-        return catalog.resolveModelContext?.(provider, model)
-          ?? Promise.resolve({ contextWindow: options.contextWindow ?? 128_000 })
+      async resolveModelInfo(provider: string, model: string) {
+        const advertised = catalog.models.find(candidate =>
+          candidate.provider === provider && candidate.id === model)
+        const capabilities = await (catalog.resolveModelInfo?.(provider, model)
+          ?? Promise.resolve({
+            context: { contextWindow: options.contextWindow ?? 128_000 },
+          }))
+        return {
+          provider,
+          id: model,
+          name: advertised?.name ?? model,
+          ...advertised?.description === undefined ? {} : { description: advertised.description },
+          ...capabilities,
+        }
      },
    } as never)
  }
@@ -0,0 +1,42 @@
+terminal 92x32 buffer=normal length=32 base=0 viewport=0
+lifecycle started=1 stopped=0 progress=inactive
+title "DSH snapshot"
+cursor hidden column=92 viewportRow=15 bufferRow=15
+buffer
+0| " DEEPSEEK HARNESS"
+  style 1-8 fg=bright-blue bold
+  style 10-16 bold
+1| " Snapshot agent ready."
+  style 1-21 fg=bright-black
+2| " deepseek-v4-flash  •  main-session"
+  style 1-34 dim
+3| "────────────────────────────────────────────────────────────────────────────────────────────"
+  style 0-91 dim
+4| "                                                                                            "
+  style 1-1 inverse
+5| "────────────────────────────────────────────────────────────────────────────────────────────"
+  style 0-91 dim
+6| "deepseek-v4-flash  /workspace/project  ↑0 ↓0                     0% context  tools:collapsed"
+  style 0-43 dim
+  style 65-91 dim
+7-12| <blank>
+13| "        ╭ Select model ────────────────────────────────────────────────────────────╮        "
+  style 8-83 fg=bright-blue
+14| "        │   deepseek/deepseek-v4-flash      DeepSeek V4 Flash — High — current     │        "
+  style 8-8 fg=bright-blue
+  style 38-77 fg=bright-black
+  style 83-83 fg=bright-blue
+15| "        │ → deepseek/deepseek-v4-pro        DeepSeek V4 Pro — provider default     │        "
+  style 8-8 fg=bright-blue
+  style 10-77 fg=bright-blue inverse
+  style 83-83 fg=bright-blue
+16| "        │                                                                          │        "
+  style 8-8 fg=bright-blue
+  style 83-83 fg=bright-blue
+17| "        │ ↑/↓ navigate • Shift+Tab reasoning • Enter select • Esc cancel           │        "
+  style 8-8 fg=bright-blue
+  style 10-71 dim
+  style 83-83 fg=bright-blue
+18| "        ╰──────────────────────────────────────────────────────────────────────────╯        "
+  style 8-83 fg=bright-blue
+19-31| <blank>
@@ -20,23 +20,23 @@ buffer
  style 0-43 dim
  style 65-91 dim
 7-12| <blank>
-13| "          ╭ Select model ────────────────────────────────────────────────────────╮          "
-  style 10-81 fg=bright-blue
-14| "          │ → deepseek/deepseek-v4-flash      DeepSeek V4 Flash — current        │          "
-  style 10-10 fg=bright-blue
-  style 12-72 fg=bright-blue inverse
-  style 81-81 fg=bright-blue
-15| "          │   deepseek/deepseek-v4-pro        DeepSeek V4 Pro                    │          "
-  style 10-10 fg=bright-blue
-  style 38-60 fg=bright-black
-  style 81-81 fg=bright-blue
-16| "          │                                                                      │          "
-  style 10-10 fg=bright-blue
-  style 81-81 fg=bright-blue
-17| "          │ ↑/↓ navigate • Enter select • Esc cancel                             │          "
-  style 10-10 fg=bright-blue
-  style 12-51 dim
-  style 81-81 fg=bright-blue
-18| "          ╰──────────────────────────────────────────────────────────────────────╯          "
-  style 10-81 fg=bright-blue
+13| "        ╭ Select model ────────────────────────────────────────────────────────────╮        "
+  style 8-83 fg=bright-blue
+14| "        │ → deepseek/deepseek-v4-flash      DeepSeek V4 Flash — High — current     │        "
+  style 8-8 fg=bright-blue
+  style 10-77 fg=bright-blue inverse
+  style 83-83 fg=bright-blue
+15| "        │   deepseek/deepseek-v4-pro        DeepSeek V4 Pro — provider default     │        "
+  style 8-8 fg=bright-blue
+  style 36-77 fg=bright-black
+  style 83-83 fg=bright-blue
+16| "        │                                                                          │        "
+  style 8-8 fg=bright-blue
+  style 83-83 fg=bright-blue
+17| "        │ ↑/↓ navigate • Shift+Tab reasoning • Enter select • Esc cancel           │        "
+  style 8-8 fg=bright-blue
+  style 10-71 dim
+  style 83-83 fg=bright-blue
+18| "        ╰──────────────────────────────────────────────────────────────────────────╯        "
+  style 8-83 fg=bright-blue
 19-31| <blank>
@@ -1,7 +1,7 @@
 terminal 92x32 buffer=normal length=32 base=0 viewport=0
 lifecycle started=1 stopped=0 progress=inactive
 title "DSH snapshot"
-cursor hidden column=1 viewportRow=6 bufferRow=6
+cursor hidden column=1 viewportRow=7 bufferRow=7
 buffer
 0| " DEEPSEEK HARNESS"
  style 1-8 fg=bright-blue bold
@@ -11,15 +11,17 @@ buffer
 2| " deepseek-v4-pro  •  main-session"
  style 1-32 dim
 3| <blank>
-4| " Model selected: deepseek/deepseek-v4-pro. New steps will use it.                           "
-  style 1-64 fg=bright-black
-5| "────────────────────────────────────────────────────────────────────────────────────────────"
+4| " Model selected: deepseek/deepseek-v4-pro. Reasoning effort: provider default. New steps    "
+  style 1-91 fg=bright-black
+5| " will use it.                                                                               "
+  style 1-12 fg=bright-black
+6| "────────────────────────────────────────────────────────────────────────────────────────────"
  style 0-91 dim
-6| "                                                                                            "
+7| "                                                                                            "
  style 1-1 inverse
-7| "────────────────────────────────────────────────────────────────────────────────────────────"
+8| "────────────────────────────────────────────────────────────────────────────────────────────"
  style 0-91 dim
-8| "deepseek-v4-pro  /workspace/project  ↑0 ↓0                       0% context  tools:collapsed"
+9| "deepseek-v4-pro  /workspace/project  ↑0 ↓0                       0% context  tools:collapsed"
  style 0-41 dim
  style 65-91 dim
-9-31| <blank>
+10-31| <blank>
--- a/Show More
+++ b/Show More