refactor(llm): resolve model metadata together

docs/user/develop/practice/llm-adapter.i18n.yaml

@@ -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: 8b8201099e2b78385301daf14605be53436353c7
-llm-adapter.zh.md: 735b7a4babf3d31652374e91cbce794cdd580725
+llm-adapter.md: 3bf005647d3e7908f1d1553374266c1d6c12c2e6
+llm-adapter.zh.md: b967d112ed6879b11486ab7aedf64653089d93de

docs/user/develop/practice/llm-adapter.md

@@ -112,7 +112,7 @@ async function* exampleChunks(): AsyncIterable<StreamChunk> {
 
 `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 `resolveModelReasoning(provider, model, signal?)` when an exact model exposes selectable reasoning strengths. Return ordered opaque ids and display names plus an optional configured default; do not promote provider names into a core enum. Honor the optional signal for asynchronous lookup so cancellation and disposal reach quiescence. The service validates the metadata and rejects unsupported explicit values before `stream()`. Returning `undefined` means that model has no selectable reasoning-effort capability.
+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
 

docs/user/develop/practice/llm-adapter.zh.md

@@ -112,7 +112,7 @@ async function* exampleChunks(): AsyncIterable<StreamChunk> {
 
 `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。
 
-当某个具体模型提供可选推理强度时，请覆写 `resolveModelReasoning(provider, model, signal?)`。返回有序的不透明 ID、展示名称，以及可选的配置默认值；不要将提供方使用的等级名称提升为核心枚举。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。服务会校验元数据，并在调用 `stream()` 前拒绝显式指定但不受支持的值。返回 `undefined` 表示该模型没有可选的推理强度能力。
+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