feat(skills,knowledge): 中文名补全与知识库沉淀支持可选大模型并明确大模型报错
技能中文名: - 单个「AI 生成」与「一键补充中文名」均可在请求体 model_name 选择大模型 - 一键补充改为仅管理员开放 - _generate_skill_name_zh 在模型自身失败(构建/超时/API 报错)时抛 SkillNameZhModelError,与模型返回无效名称区分;单个接口返回 502「大模型报错,无法补全技能中文名」,批量在 model_error 中带回代表性报错 知识库沉淀: - 对话保存到知识库 / 批量导入均新增可选 model_name(透传至 capture_thread → extract_thread_llm_multi) - 批量返回 llm_fallback 计数;模型异常时仍按既有逻辑回退规则抽取并落草稿, 前端明确提示「已改用规则抽取」(保存按钮保持后台异步) 前端新增 components/workspace/model-name-select.tsx 复用下拉(默认=系统配置模型) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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@@ -37,6 +37,7 @@ import {
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SelectValue,
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} from "@/components/ui/select";
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import { Textarea } from "@/components/ui/textarea";
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import { ModelNameSelect } from "@/components/workspace/model-name-select";
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import {
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useKnowledgeActions,
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useKnowledgeDuplicates,
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@@ -241,6 +242,8 @@ function BatchImportDialog({
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const { batchIngest } = useKnowledgeActions();
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const [limit, setLimit] = useState(50);
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const [skipExisting, setSkipExisting] = useState(true);
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// Optional model override for extraction (null = configured default).
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const [model, setModel] = useState<string | null>(null);
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const handleRun = async () => {
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try {
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@@ -249,10 +252,18 @@ function BatchImportDialog({
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skip_existing: skipExisting,
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status: "approved",
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include_sources: true,
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model_name: model,
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});
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toast.success(
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`批量导入完成:新增 ${result.created},跳过 ${result.skipped},失败 ${result.failed}`,
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);
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const base = `批量导入完成:新增 ${result.created},跳过 ${result.skipped},失败 ${result.failed}`;
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if (result.llm_fallback && result.llm_fallback > 0) {
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// The model failed on some threads — they were saved via rule-based
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// extraction instead. Say so explicitly per the requirement.
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toast.warning(
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`${base};其中 ${result.llm_fallback} 条因大模型异常改用了规则抽取(草稿)`,
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);
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} else {
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toast.success(base);
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}
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onOpenChange(false);
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} catch (error) {
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toast.error(error instanceof Error ? error.message : "批量导入失败");
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@@ -289,6 +300,15 @@ function BatchImportDialog({
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className="size-4"
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/>
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</label>
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<label className="flex items-center justify-between gap-2 text-sm">
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提炼大模型
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<ModelNameSelect
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value={model}
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onChange={setModel}
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disabled={batchIngest.isPending}
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triggerClassName="h-9 w-[11rem]"
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/>
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</label>
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</div>
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<DialogFooter>
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<Button variant="outline" onClick={() => onOpenChange(false)}>
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