refactor(copy): 术语统一——收录版本、模型服务、智能体等(DEAI-2)

- 版本目标 → 收录版本(前后端用户可见字符串、能力描述、给模型的提示)
- Agent 上游 / 上游 → 模型服务;界面上的 Agent / Agent 会话 → 智能体 / 智能体会话
- 身份歧义 / 识别有歧义 / 无法确定作品 → 没识别出作品;待识别(池) → 未识别
- 建档 → 加入媒体库;资产 → 文件;库根 → 媒体库目录;纳管 → 本工具 / 外部任务;
  哨兵 → 标记文件 / 检查目录;站点快照 → 抓取;Feed / RSS 订阅 / 来源健康 → RSS
- 代码标识符、API 字段名、迁移文件不改;glossary.md 同步;smoke 选择器跟随

Co-Authored-By: Claude Opus 5.5 <[email protected]>

packages/agent/src/pi/model.ts

@@ -23,8 +23,8 @@ const PROVIDER_ID = { anthropic: "umt-anthropic", "openai-compatible": "umt-open
  */
 export function resolveModelFromSettings(settings: ResolvedAgentSettings): ResolvedPiModel {
   if (settings.provider !== "anthropic" && settings.provider !== "openai-compatible")
-    throw new Error(`provider ${settings.provider} 需要按上游装配(PiAgentRuntimeOptions.upstream)`);
-  if (!settings.apiKey) throw new Error("未配置上游密钥");
+    throw new Error(`provider ${settings.provider} 需要按模型服务装配(PiAgentRuntimeOptions.upstream)`);
+  if (!settings.apiKey) throw new Error("未配置模型服务密钥");
   const providerId = PROVIDER_ID[settings.provider];
   const common = {
     id: settings.model,
@@ -49,7 +49,7 @@ export function resolveModelFromSettings(settings: ResolvedAgentSettings): Resol
     models.setProvider(createProvider({ id: providerId, auth, models: [m], api: anthropicMessagesApi() }));
     model = m;
   } else {
-    if (!settings.baseUrl) throw new Error("openai-compatible 上游必须配置 baseUrl(带 /v1)");
+    if (!settings.baseUrl) throw new Error("openai-compatible 模型服务必须配置 baseUrl(带 /v1)");
     const m: Model<"openai-completions"> = {
       ...common,
       api: "openai-completions",

packages/agent/src/pi/runtime.ts

@@ -400,7 +400,7 @@ class PiAgentRun implements AgentRunHandle {
       const err = record && "error" in record ? record.error : undefined;
       outcome = this.failed("error", redactString(err ? `${err.code}: ${err.message}` : "运行失败"));
     } else if (status === "suspended") {
-      outcome = this.failed("error", "上游进入延迟模式(deferred),v0.1 不支持");
+      outcome = this.failed("error", "模型服务进入延迟模式(deferred),v0.1 不支持");
     } else {
       outcome = { status: "completed", finalText: this.finalText, usage: this.usage };
       this.emit({ type: "run_completed", finalText: outcome.finalText, usage: this.usage });
@@ -540,7 +540,7 @@ export function toolContent(
   if (!vision)
     return [
       { type: "text", text },
-      { type: "text", text: "(截图未发送:当前上游模型不支持图片输入;用 browser.snapshot 读取页面文字)" },
+      { type: "text", text: "(截图未发送:当前模型不支持图片输入;用 browser.snapshot 读取页面文字)" },
     ];
   return [
     { type: "text", text },

packages/agent/src/pi/upstream.ts

@@ -329,7 +329,7 @@ export class PiUpstreamClient {
   private pickModel(modelId: string | null | undefined): { model: Model<Api>; inCatalog: boolean } {
     const all = this.models.getModels(this.providerId);
     const id = modelId ?? this.spec.model ?? all[0]?.id;
-    if (!id) throw new UpstreamError("model", "该上游没有可用模型,请填写模型 id");
+    if (!id) throw new UpstreamError("model", "该模型服务没有可用模型,请填写模型 id");
     const found = this.models.getModel(this.providerId, id);
     if (found) return { model: found, inCatalog: true };
     const template = all[0];
@@ -369,7 +369,7 @@ export class PiUpstreamClient {
         throw classifyUpstreamError(err);
       }
       if (res.stopReason === "error" || res.stopReason === "aborted")
-        throw classifyUpstreamError(new Error(res.errorMessage ?? "上游返回错误"));
+        throw classifyUpstreamError(new Error(res.errorMessage ?? "模型服务返回错误"));
     }
     return { source, model: model.id, inCatalog };
   }