feat: add strategy selection workbench
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@@ -68,6 +68,12 @@ export const sidebarMenuItems: MenuItem[] = [
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icon: Users,
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path: "/page/strategy/qa/multi-agent-roundtable",
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},
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{
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id: "strategy-selection",
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label: "策略优选",
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icon: Sparkles,
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path: "/page/strategy/qa/strategy-selection",
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},
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// {
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// id: "position-roundtable",
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// label: "岗位会商",
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@@ -78,6 +78,7 @@ import UsersPage from "./UsersPage";
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import LlmMetricsPage from "./LlmMetricsPage";
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import AdminScheduledTasksPage from "./AdminScheduledTasksPage";
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import AdminUserActivityPage from "./AdminUserActivityPage";
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import StrategySelectionPage from "@/strategy-selection/StrategySelectionPage";
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import { ChatRuntime } from "./WorkspaceRoutes";
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/**
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@@ -110,6 +111,7 @@ export default function StrategyRoutes() {
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<Route index element={<Navigate to="qa/general" replace />} />
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<Route path="qa/general" element={<GeneralQA />} />
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<Route path="qa/strategy-selection" element={<StrategySelectionPage />} />
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<Route
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path="qa/expert-qa"
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element={
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@@ -0,0 +1,218 @@
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import { useEffect, useMemo, useState } from "react";
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import { Bot, Check, LoaderCircle, Save, Sparkles } from "lucide-react";
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import { toast } from "sonner";
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import { Badge } from "@/components/ui/badge";
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import { Button } from "@/components/ui/button";
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import {
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Dialog,
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DialogContent,
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DialogDescription,
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DialogFooter,
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DialogHeader,
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DialogTitle,
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} from "@/components/ui/dialog";
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import { Textarea } from "@/components/ui/textarea";
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import { getAgent, updateAgent } from "@/core/agents/api";
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import type { Agent } from "@/core/agents/types";
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import { cn } from "@/lib/utils";
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import { STRATEGY_AGENT_ROLES } from "./constants";
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interface AgentConfigDialogProps {
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open: boolean;
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onOpenChange: (open: boolean) => void;
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}
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function parseSkills(value: string): string[] {
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return [...new Set(value.split(/[,，\n]/).map((item) => item.trim()).filter(Boolean))];
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}
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export function AgentConfigDialog({ open, onOpenChange }: AgentConfigDialogProps) {
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const [selectedId, setSelectedId] = useState<string>(STRATEGY_AGENT_ROLES[0].id);
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const [agent, setAgent] = useState<Agent | null>(null);
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const [soul, setSoul] = useState("");
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const [skillsText, setSkillsText] = useState("");
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const [loading, setLoading] = useState(false);
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const [saving, setSaving] = useState(false);
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const [error, setError] = useState("");
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const selectedRole = useMemo(
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() => STRATEGY_AGENT_ROLES.find((role) => role.id === selectedId)!,
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[selectedId],
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);
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useEffect(() => {
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if (!open || !selectedId) return;
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let active = true;
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setLoading(true);
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setError("");
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setAgent(null);
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void getAgent(selectedId)
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.then((data) => {
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if (!active) return;
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setAgent(data);
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setSoul(data.soul ?? "");
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setSkillsText((data.skills ?? []).join("\n"));
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})
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.catch((reason: unknown) => {
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if (!active) return;
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setError(
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reason instanceof Error
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? reason.message
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: "智能体配置加载失败，请确认后端已完成默认配置初始化。",
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);
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})
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.finally(() => {
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if (active) setLoading(false);
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});
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return () => {
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active = false;
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};
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}, [open, selectedId]);
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const save = async () => {
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if (!agent) return;
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setSaving(true);
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try {
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const updated = await updateAgent(agent.id, {
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soul: soul.trim(),
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skills: parseSkills(skillsText),
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});
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setAgent(updated);
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setSoul(updated.soul ?? "");
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setSkillsText((updated.skills ?? []).join("\n"));
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toast.success(`${updated.name} 配置已保存`);
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} catch (reason) {
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toast.error(reason instanceof Error ? reason.message : "保存失败");
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} finally {
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setSaving(false);
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}
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};
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return (
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<Dialog open={open} onOpenChange={onOpenChange}>
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<DialogContent className="h-[min(780px,calc(100vh-48px))] max-w-[1080px] grid-rows-[auto_minmax(0,1fr)_auto] gap-0 overflow-hidden p-0 sm:max-w-[1080px]">
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<DialogHeader className="border-b px-6 py-5 dark:border-[#173d68]">
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<DialogTitle className="flex items-center gap-2">
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<Bot className="size-5 text-primary" />
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策略智能体配置
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</DialogTitle>
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<DialogDescription>
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每个流程角色对应一个默认智能体。管理员可修改 SOUL 和技能；保存后下一次运行即生效。
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</DialogDescription>
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</DialogHeader>
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<div className="grid min-h-0 grid-cols-[290px_minmax(0,1fr)]">
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<div className="min-h-0 overflow-y-auto border-r bg-muted/20 p-3 dark:border-[#173d68] dark:bg-[#031b38]">
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<div className="mb-2 px-2 text-xs font-semibold tracking-wide text-muted-foreground">
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流程角色 · {STRATEGY_AGENT_ROLES.length}
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</div>
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<div className="space-y-1.5">
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{STRATEGY_AGENT_ROLES.map((role) => {
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const selected = role.id === selectedId;
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return (
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<button
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key={role.id}
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type="button"
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disabled={saving}
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onClick={() => setSelectedId(role.id)}
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className={cn(
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"w-full rounded-lg border px-3 py-3 text-left transition-colors disabled:cursor-not-allowed disabled:opacity-60",
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selected
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? "border-primary/45 bg-primary/10 shadow-sm"
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: "border-transparent hover:border-border hover:bg-background dark:hover:border-[#28507c] dark:hover:bg-[#08274c]",
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)}
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>
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<span className="flex items-center justify-between gap-2">
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<span className="text-sm font-medium">{role.name}</span>
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{selected && <Check className="size-4 text-primary" />}
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</span>
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<span className="mt-1 block text-xs leading-5 text-muted-foreground">
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{role.role}
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</span>
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</button>
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);
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})}
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</div>
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</div>
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<div className="min-h-0 overflow-y-auto px-6 py-5">
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<div className="mb-5 flex items-start justify-between gap-3">
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<div>
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<h3 className="font-semibold">{selectedRole.name}</h3>
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<p className="mt-1 text-sm text-muted-foreground">{selectedRole.role}</p>
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</div>
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<Badge variant="outline" className="font-mono text-[11px]">
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{selectedRole.id}
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</Badge>
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</div>
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{loading ? (
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<div className="flex h-56 items-center justify-center gap-2 text-sm text-muted-foreground">
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<LoaderCircle className="size-4 animate-spin" />
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正在读取智能体配置…
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</div>
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) : error ? (
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<div className="rounded-lg border border-destructive/30 bg-destructive/5 p-4 text-sm text-destructive">
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<p className="font-medium">暂时无法加载该智能体</p>
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<p className="mt-1 leading-6 opacity-85">{error}</p>
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</div>
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) : agent ? (
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<div className="space-y-5">
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<div className="grid grid-cols-2 gap-3 rounded-lg border bg-muted/20 p-3 text-sm dark:border-[#173d68] dark:bg-[#031b38]">
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<div>
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<span className="text-xs text-muted-foreground">当前名称</span>
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<div className="mt-1 font-medium">{agent.name}</div>
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</div>
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<div>
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<span className="text-xs text-muted-foreground">运行模型</span>
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<div className="mt-1 font-medium">{agent.model || "使用系统默认模型"}</div>
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</div>
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</div>
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<label className="block">
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<span className="mb-2 flex items-center gap-2 text-sm font-medium">
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<Sparkles className="size-4 text-primary" /> SOUL
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</span>
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<Textarea
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value={soul}
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disabled={saving}
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onChange={(event) => setSoul(event.target.value)}
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className="min-h-[300px] resize-y font-mono text-xs leading-6"
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placeholder="定义智能体的角色、分析方法、边界和输出要求…"
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/>
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</label>
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<label className="block">
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<span className="mb-2 block text-sm font-medium">技能</span>
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<Textarea
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value={skillsText}
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disabled={saving}
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onChange={(event) => setSkillsText(event.target.value)}
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placeholder="多个技能可用逗号分隔"
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rows={3}
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className="resize-y text-sm"
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/>
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<p className="mt-1.5 text-xs text-muted-foreground">
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可用逗号、中文逗号或换行分隔；留空表示不绑定专用技能。
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</p>
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</label>
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</div>
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) : null}
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</div>
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</div>
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<DialogFooter className="border-t px-6 py-4 dark:border-[#173d68]">
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<Button variant="outline" onClick={() => onOpenChange(false)}>
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关闭
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</Button>
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<Button disabled={!agent || loading || saving} onClick={() => void save()}>
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{saving ? <LoaderCircle className="animate-spin" /> : <Save />}
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保存当前智能体
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</Button>
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</DialogFooter>
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</DialogContent>
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</Dialog>
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);
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}
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File diff suppressed because it is too large.
Load diff
@@ -0,0 +1,44 @@
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import { apiFetch } from "@/core/api/fetch-client";
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import { getBackendBaseURL } from "@/core/config";
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import { parseSseChunk } from "./lib";
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import type { ParallelAgentEvent, ParallelAgentPayload } from "./types";
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async function readError(response: Response): Promise<string> {
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const body = (await response.json().catch(() => null)) as
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| { detail?: string }
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| null;
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return body?.detail || `请求失败（HTTP ${response.status}）`;
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}
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export async function streamParallelAgents(
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payload: ParallelAgentPayload,
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onEvent: (event: ParallelAgentEvent) => void,
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signal?: AbortSignal,
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): Promise<void> {
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const response = await apiFetch(
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`${getBackendBaseURL()}/api/parallel-agents/run/stream`,
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{
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method: "POST",
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headers: {
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Accept: "text/event-stream",
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"Content-Type": "application/json",
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},
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body: JSON.stringify(payload),
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signal,
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},
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);
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if (!response.ok) throw new Error(await readError(response));
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if (!response.body) throw new Error("服务器未返回流式响应");
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const reader = response.body.getReader();
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const decoder = new TextDecoder();
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let buffer = "";
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while (true) {
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const { done, value } = await reader.read();
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buffer += decoder.decode(value, { stream: !done });
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const parsed = parseSseChunk(buffer, done);
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buffer = parsed.rest;
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parsed.events.forEach(onEvent);
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if (done) break;
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}
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}
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@@ -0,0 +1,350 @@
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import type {
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AgentOutputState,
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IntentTurn,
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StrategyAngle,
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StrategyEvaluation,
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StrategyTaskDraft,
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} from "./types";
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export const STRATEGY_AGENT_ROLES = [
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{
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id: "strategy-selection-intent",
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name: "意图理解智能体",
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role: "将自然语言需求整理为可执行任务",
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},
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{
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id: "strategy-selection-angle-governance",
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name: "治理统筹智能体",
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role: "关注目标、机制、跨部门协同与执行闭环",
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},
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{
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id: "strategy-selection-angle-diplomacy",
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name: "外交沟通智能体",
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role: "关注沟通渠道、危机管控与多边协调",
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},
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{
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id: "strategy-selection-angle-economy",
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name: "经济韧性智能体",
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role: "关注供应链、产业、贸易与市场预期",
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},
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{
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id: "strategy-selection-angle-security",
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name: "安全风险智能体",
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role: "关注预警、误判防范与非升级性风险处置",
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},
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{
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id: "strategy-selection-angle-public-opinion",
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name: "社会民生智能体",
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role: "关注公众沟通、民生连续性与人道保障",
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},
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{
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id: "strategy-selection-angle-law-policy",
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name: "法律规则智能体",
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role: "关注适用规则、合规边界与证据链",
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},
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{
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id: "strategy-selection-judge",
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name: "策略评判智能体",
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role: "以统一量表比较策略的收益、风险与可执行性",
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},
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{
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id: "strategy-selection-solution",
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name: "方案整理智能体",
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role: "将入选策略去重、消冲突并整理为最终方案",
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},
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] as const;
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export const STRATEGY_ANGLES: StrategyAngle[] = [
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{
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id: "governance",
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agentId: "strategy-selection-angle-governance",
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name: "治理与统筹",
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shortName: "治理",
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description: "目标拆解、组织协同、阶段推进和反馈闭环",
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accent: "#6d5dfc",
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},
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{
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id: "diplomacy",
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agentId: "strategy-selection-angle-diplomacy",
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name: "外交与沟通",
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shortName: "外交",
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description: "危机沟通、多边协调、信号一致性与降温安排",
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accent: "#0ea5e9",
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},
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{
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id: "economy",
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agentId: "strategy-selection-angle-economy",
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name: "经济与产业韧性",
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shortName: "经济",
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description: "供应链连续性、市场预期、贸易和关键产业保障",
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accent: "#10b981",
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},
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{
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id: "security",
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agentId: "strategy-selection-angle-security",
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name: "安全与风险管控",
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shortName: "安全",
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description: "态势预警、误判防范、事件分级和非升级性处置",
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accent: "#f97316",
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},
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{
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id: "public_opinion",
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agentId: "strategy-selection-angle-public-opinion",
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name: "社会民生与舆情",
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shortName: "民生",
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description: "公众沟通、基本服务、社会心理和人道保障",
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accent: "#ec4899",
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},
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{
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id: "law_policy",
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agentId: "strategy-selection-angle-law-policy",
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name: "法律与规则",
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shortName: "法律",
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description: "适用规则、合规审查、责任边界与证据留存",
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accent: "#a855f7",
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},
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];
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export const EMPTY_TASK_DRAFT: StrategyTaskDraft = {
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name: "",
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detail: "",
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objective: "",
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prerequisites: "",
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constraints: "",
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deliverables: "",
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acceptanceCriteria: "",
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horizon: "",
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selectedAngleIds: STRATEGY_ANGLES.slice(0, 4).map((angle) => angle.id),
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};
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export const INITIAL_INTENT_TURNS: IntentTurn[] = [
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{
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id: "welcome",
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role: "assistant",
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||||
content:
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||||
"请描述你想解决的问题、希望达成的目标以及已知约束。我会通过对话补齐关键信息，并把需求实时整理到右侧任务草稿。",
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},
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];
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export const TAIWAN_STRAIT_DEMO_TASK: StrategyTaskDraft = {
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name: "台海局势风险管控与区域韧性提升策略",
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detail:
|
||||
"面向台海局势高不确定性场景，形成一套不预设立场、以避免误判和升级为核心的综合政策方案。方案聚焦危机沟通、区域经济与民生连续性、规则遵循及信息透明，不包含战术行动、目标选择或武力运用指导。",
|
||||
objective:
|
||||
"未来12—24个月内，降低突发事件转化为系统性危机的概率，保护平民福祉与关键经济活动，维持可验证、可持续的沟通和协调机制。",
|
||||
prerequisites:
|
||||
"建立跨部门联合研判机制；明确授权与对外沟通口径；掌握航运、能源、金融、通信和公共服务的基础风险数据；预留与各相关方沟通的技术渠道。",
|
||||
constraints:
|
||||
"遵守适用的国际法及人道原则；坚持克制、对等、可逆和非升级；不得输出军事战术、具体目标、武器使用或规避监管建议；关键事实须标注时点并交叉核验。",
|
||||
deliverables:
|
||||
"一份综合策略；分阶段行动清单；跨部门责任矩阵；风险预警指标；对外沟通要点；每月复盘和动态调整机制。",
|
||||
acceptanceCriteria:
|
||||
"措施均有责任主体、触发条件和退出条件；重要建议至少经两个角度交叉验证；高风险措施设置法律审查与升级门槛；方案可在72小时内启动首轮响应。",
|
||||
horizon: "12—24个月，按0—30天、1—6个月、6—24个月分三阶段推进",
|
||||
selectedAngleIds: STRATEGY_ANGLES.map((angle) => angle.id),
|
||||
};
|
||||
|
||||
export const TAIWAN_STRAIT_DEMO_TURNS: IntentTurn[] = [
|
||||
...INITIAL_INTENT_TURNS,
|
||||
{
|
||||
id: "demo-user",
|
||||
role: "user",
|
||||
isDemo: true,
|
||||
content:
|
||||
"请围绕台海局势做一个综合风险管控策略，重点是减少误判升级，同时兼顾经济、民生和规则约束，时间范围看未来一到两年。",
|
||||
},
|
||||
{
|
||||
id: "demo-assistant",
|
||||
role: "assistant",
|
||||
isDemo: true,
|
||||
content:
|
||||
"已将需求整理为“风险管控与区域韧性提升”任务：以降级避险为目标，采用治理、外交、经济、安全、民生和法律六个角度并行论证；明确排除战术性军事建议，并补充了阶段周期、验收标准和启动条件。右侧字段仍可直接修改。",
|
||||
},
|
||||
];
|
||||
|
||||
export const TAIWAN_STRAIT_DEMO_OUTPUTS: Record<string, AgentOutputState> = {
|
||||
"strategy-selection-angle-governance": {
|
||||
status: "done",
|
||||
isDemo: true,
|
||||
steps: ["拆解目标", "形成协同机制", "设置复盘闭环"],
|
||||
content: `### 治理统筹策略：建立“联合研判—分级响应—复盘校正”闭环
|
||||
|
||||
1. 设立常态化跨部门风险研判单元，统一风险词典、数据口径和事件分级。
|
||||
2. 为不同风险等级预先定义责任主体、会商时限、可逆措施和退出条件，避免临时决策放大误判。
|
||||
3. 建立月度桌面推演与季度复盘，重点校验交通、能源、金融、通信和公共服务之间的级联风险。
|
||||
4. 重大调整实行“政策效果—升级风险—民生影响—法律合规”四项并联审查。
|
||||
|
||||
**优先动作：** 30天内完成责任矩阵和跨部门值守清单；90天内完成首次全链路压力测试。`,
|
||||
},
|
||||
"strategy-selection-angle-diplomacy": {
|
||||
status: "done",
|
||||
isDemo: true,
|
||||
steps: ["识别沟通对象", "设计危机渠道", "校准公开信号"],
|
||||
content: `### 外交沟通策略：保持多层次、可验证的危机沟通
|
||||
|
||||
1. 维护工作层、专业部门和高层三类沟通渠道，约定紧急事件的确认窗口与回执机制。
|
||||
2. 对外表述采用“事实、原则、下一步安排”三段式，减少模糊威慑和相互误读。
|
||||
3. 支持以航行安全、灾害救援、公共卫生等低政治敏感议题开展技术性接触，积累最低限度信任。
|
||||
4. 引入可信第三方作为信息转递与事实核验的备份通道，但不替代直接沟通。
|
||||
|
||||
**触发条件：** 当出现信息不一致、渠道中断或舆情快速放大时，立即启动双渠道交叉确认。`,
|
||||
},
|
||||
"strategy-selection-angle-economy": {
|
||||
status: "done",
|
||||
isDemo: true,
|
||||
steps: ["识别关键链路", "评估替代能力", "配置韧性措施"],
|
||||
content: `### 经济韧性策略：先保连续性，再做结构性分散
|
||||
|
||||
1. 对航运、半导体、能源、金融结算和通信链路建立关键节点清单与中断情景。
|
||||
2. 以库存天数、替代供应商覆盖率、运输改道时间和流动性缺口作为月度韧性指标。
|
||||
3. 对短期冲击优先使用信息协调、应急库存和融资支持，避免仓促、不可逆的全面脱钩措施。
|
||||
4. 中长期推动来源与路线多元化，同时保留正常经贸交往的政策空间。
|
||||
|
||||
**优先动作：** 对关键民生物资开展30/60/90天压力测试，并为中小企业准备定向流动性工具。`,
|
||||
},
|
||||
"strategy-selection-angle-security": {
|
||||
status: "done",
|
||||
isDemo: true,
|
||||
steps: ["构建预警指标", "划分风险等级", "设计降级动作"],
|
||||
content: `### 安全风险策略：以预警和降级机制减少偶发事件外溢
|
||||
|
||||
1. 建立覆盖异常活动、通信中断、错误信息扩散、交通受阻和市场波动的综合预警看板。
|
||||
2. 将风险划分为关注、紧张、严重三级，每级只配置克制、可逆、可解释的非升级性应对动作。
|
||||
3. 对来源未核实的信息实行“双源确认+时点标注”，避免单一信号直接触发重大政策响应。
|
||||
4. 所有高风险决策设置冷静期、法律复核和跨部门反方意见席位。
|
||||
|
||||
**止损线：** 一旦沟通渠道失效或民生影响超过阈值，优先恢复沟通与公共服务，暂停可能叠加风险的新措施。`,
|
||||
},
|
||||
"strategy-selection-angle-public-opinion": {
|
||||
status: "done",
|
||||
isDemo: true,
|
||||
steps: ["分析公众需求", "保障基本服务", "设计信息发布"],
|
||||
content: `### 社会民生策略：稳定预期并保护基本服务
|
||||
|
||||
1. 建立权威、固定频率的信息发布窗口，明确已知、未知和正在核验的事项。
|
||||
2. 为交通、医疗、能源、通信和教育准备连续性方案，优先保障脆弱群体。
|
||||
3. 监测谣言与恐慌性行为时，采用事实澄清和服务指引，不扩大未经证实的信息。
|
||||
4. 设置独立反馈渠道，收集企业、社区和民众的实际困难并纳入每日研判。
|
||||
|
||||
**评价指标：** 基本服务可用率、权威信息触达率、谣言纠正时长和重点群体保障覆盖率。`,
|
||||
},
|
||||
"strategy-selection-angle-law-policy": {
|
||||
status: "done",
|
||||
isDemo: true,
|
||||
steps: ["识别规则边界", "建立审查清单", "设计留痕机制"],
|
||||
content: `### 法律规则策略：把合规审查嵌入每个决策节点
|
||||
|
||||
1. 为数据共享、经济措施、应急管理和对外沟通分别建立适用规则清单。
|
||||
2. 重大措施记录事实依据、授权来源、比例性判断、影响评估和退出条件。
|
||||
3. 涉及平民权益、基本服务和跨境活动的措施优先进行人道影响评估。
|
||||
4. 对时效性强的事项采用“快速初审—事后完整复核”，但不得跳过最低合规门槛。
|
||||
|
||||
**优先动作：** 建立统一法律审查模板和决策证据包，保证后续可解释、可追溯。`,
|
||||
},
|
||||
};
|
||||
|
||||
export const TAIWAN_STRAIT_DEMO_EVALUATIONS: StrategyEvaluation[] = [
|
||||
{
|
||||
agentId: "strategy-selection-angle-governance",
|
||||
score: 92,
|
||||
conclusion: "优先推荐",
|
||||
comment: "跨部门闭环清晰，是其他策略落地的共同底座。",
|
||||
strengths: ["责任明确", "阶段完整", "便于复盘"],
|
||||
risks: ["需要稳定的牵头机制"],
|
||||
},
|
||||
{
|
||||
agentId: "strategy-selection-angle-diplomacy",
|
||||
score: 90,
|
||||
conclusion: "优先推荐",
|
||||
comment: "直接作用于误判风险，且措施克制、可逆。",
|
||||
strengths: ["降级效果直接", "渠道有备份"],
|
||||
risks: ["依赖相关方持续参与"],
|
||||
},
|
||||
{
|
||||
agentId: "strategy-selection-angle-economy",
|
||||
score: 86,
|
||||
conclusion: "建议采用",
|
||||
comment: "兼顾短期连续性与长期韧性，需控制过度防御成本。",
|
||||
strengths: ["指标可量化", "避免一刀切"],
|
||||
risks: ["跨行业数据获取成本较高"],
|
||||
},
|
||||
{
|
||||
agentId: "strategy-selection-angle-security",
|
||||
score: 91,
|
||||
conclusion: "优先推荐",
|
||||
comment: "预警、确认和冷静期设计可显著降低错误触发。",
|
||||
strengths: ["止损线清楚", "强调双源核验"],
|
||||
risks: ["阈值需持续校准"],
|
||||
},
|
||||
{
|
||||
agentId: "strategy-selection-angle-public-opinion",
|
||||
score: 84,
|
||||
conclusion: "建议采用",
|
||||
comment: "增强社会承压能力，建议与经济连续性方案合并实施。",
|
||||
strengths: ["关注脆弱群体", "沟通指标明确"],
|
||||
risks: ["需避免信息发布碎片化"],
|
||||
},
|
||||
{
|
||||
agentId: "strategy-selection-angle-law-policy",
|
||||
score: 88,
|
||||
conclusion: "建议采用",
|
||||
comment: "为高压情境下的决策提供必要边界和可追溯性。",
|
||||
strengths: ["审查嵌入流程", "留痕充分"],
|
||||
risks: ["快速响应与完整审查需平衡"],
|
||||
},
|
||||
];
|
||||
|
||||
export const TAIWAN_STRAIT_DEMO_SYNTHESIS = `# 台海局势风险管控与区域韧性提升综合方案
|
||||
|
||||
> **示例说明：** 本方案为产品功能演示数据，采用中立、降级避险和民生优先视角，不构成现实决策建议；正式使用前应依据最新可靠信息进行专业复核。
|
||||
|
||||
## 一、总体目标
|
||||
|
||||
在未来12—24个月内，以“减少误判、阻断升级、保护民生、维持连续性”为主线，建立可监测、可启动、可退出、可复盘的风险管控体系。任何措施均应符合适用规则，坚持克制、对等、可逆和可解释。
|
||||
|
||||
## 二、四条主策略
|
||||
|
||||
### 1. 联合研判与分级响应
|
||||
|
||||
- 建立跨部门常态研判单元，统一风险词典、数据口径和三级事件标准。
|
||||
- 每个级别明确牵头主体、会商时限、启动阈值、允许动作和退出条件。
|
||||
- 重大建议同时接受政策效果、升级风险、民生影响和法律合规审查。
|
||||
|
||||
### 2. 多层危机沟通与事实核验
|
||||
|
||||
- 维护工作层、专业部门和高层沟通渠道，并配置可信第三方备份。
|
||||
- 紧急事项执行“双渠道回执、双来源确认、统一时点标注”。
|
||||
- 公开沟通采用“事实—原则—下一步安排”结构，降低信号歧义。
|
||||
|
||||
### 3. 经济与公共服务连续性
|
||||
|
||||
- 围绕航运、能源、金融、通信、医疗和关键供应链建立中断情景清单。
|
||||
- 用库存天数、替代覆盖率、改道时长、服务可用率等指标开展月度压力测试。
|
||||
- 短期优先使用应急库存、信息协调和定向融资；中长期有序提升来源与路线多元化。
|
||||
|
||||
### 4. 规则嵌入与社会韧性
|
||||
|
||||
- 将授权来源、比例性、人道影响、退出条件和证据留存纳入统一审查模板。
|
||||
- 通过固定频率的权威发布说明已知、未知和核验进度，提供清晰服务指引。
|
||||
- 优先保障脆弱群体，并建立企业、社区与公众反馈的快速回流机制。
|
||||
|
||||
## 三、阶段安排
|
||||
|
||||
| 阶段 | 重点动作 | 主要产出 |
|
||||
| --- | --- | --- |
|
||||
| 0—30天 | 完成责任矩阵、沟通清单、关键链路盘点与法律审查模板 | 一图一表一清单、首版预警看板 |
|
||||
| 1—6个月 | 开展压力测试和桌面推演，打通双渠道确认与公众反馈 | 演练报告、阈值校准、改进台账 |
|
||||
| 6—24个月 | 推进结构性韧性项目并季度复盘，动态退出低效措施 | 韧性提升项目、季度评估报告 |
|
||||
|
||||
## 四、核心预警指标
|
||||
|
||||
1. 沟通渠道可用率与紧急事项回执时长。
|
||||
2. 未核实信息传播速度及权威澄清时长。
|
||||
3. 关键运输、能源、金融、通信和公共服务可用率。
|
||||
4. 市场异常波动、关键物资库存天数与替代供应覆盖率。
|
||||
5. 脆弱群体保障覆盖率和公众反馈闭环时长。
|
||||
|
||||
## 五、止损与调整机制
|
||||
|
||||
当直接沟通失效、基本服务明显下降、信息可信度不足或风险指标跨级跃升时，优先恢复沟通、事实核验和民生服务；暂停新增高风险措施。每月复盘策略组合，每季度由独立评估组检查目标偏移、措施叠加和退出条件执行情况。
|
||||
`;
|
||||
@@ -0,0 +1,110 @@
|
||||
/**
|
||||
* Run from frontend-web:
|
||||
* npx esbuild src/strategy-selection/lib.test.ts --bundle --format=esm --platform=node --outfile=.tmp-tests/strategy-selection.test.mjs
|
||||
* node --test .tmp-tests/strategy-selection.test.mjs
|
||||
*/
|
||||
import assert from "node:assert/strict";
|
||||
import test from "node:test";
|
||||
|
||||
import {
|
||||
buildJudgeBrief,
|
||||
createFallbackEvaluations,
|
||||
extractFencedJson,
|
||||
parseEvaluationsFromText,
|
||||
parseSseChunk,
|
||||
parseTaskDraftFromText,
|
||||
stripStructuredBlocks,
|
||||
} from "./lib";
|
||||
import { EMPTY_TASK_DRAFT } from "./constants";
|
||||
import type { AgentOutputState } from "./types";
|
||||
|
||||
test("parseSseChunk preserves incomplete frames and parses subsequent frames", () => {
|
||||
const first = parseSseChunk(
|
||||
'data: {"type":"agent_start","agent_id":"a"}\n\ndata: {"type":"del',
|
||||
);
|
||||
assert.equal(first.events.length, 1);
|
||||
assert.equal(first.events[0].type, "agent_start");
|
||||
const second = parseSseChunk(`${first.rest}ta","agent_id":"a","text":"你好"}\n\n`);
|
||||
assert.deepEqual(second.events, [
|
||||
{ type: "delta", agent_id: "a", text: "你好" },
|
||||
]);
|
||||
});
|
||||
|
||||
test("stripStructuredBlocks keeps prose and hides machine-readable payloads", () => {
|
||||
assert.equal(
|
||||
stripStructuredBlocks('说明文字\n[INTENT_READY]\n```strategy-task-json\n{"name":"x"}\n```'),
|
||||
"说明文字",
|
||||
);
|
||||
});
|
||||
|
||||
test("extractFencedJson and parseTaskDraftFromText read the structured task block", () => {
|
||||
const text = [
|
||||
"已整理任务。",
|
||||
"```strategy-task-json",
|
||||
JSON.stringify({
|
||||
name: "测试任务",
|
||||
detail: "详情",
|
||||
recommended_angles: ["governance", "unknown", "law_policy"],
|
||||
}),
|
||||
"```",
|
||||
].join("\n");
|
||||
assert.deepEqual(extractFencedJson(text, "strategy-task-json"), {
|
||||
name: "测试任务",
|
||||
detail: "详情",
|
||||
recommended_angles: ["governance", "unknown", "law_policy"],
|
||||
});
|
||||
const task = parseTaskDraftFromText(text, EMPTY_TASK_DRAFT);
|
||||
assert.equal(task?.name, "测试任务");
|
||||
assert.deepEqual(task?.selectedAngleIds, ["governance", "law_policy"]);
|
||||
});
|
||||
|
||||
test("task parser accepts backend SOUL field aliases", () => {
|
||||
const text = `\`\`\`strategy-task-json\n${JSON.stringify({
|
||||
task_name: "别名任务",
|
||||
task_detail: "别名详情",
|
||||
expected_outputs: "综合方案",
|
||||
recommended_angles: ["public_opinion", "strategy-selection-angle-law-policy"],
|
||||
})}\n\`\`\``;
|
||||
const task = parseTaskDraftFromText(text, EMPTY_TASK_DRAFT);
|
||||
assert.equal(task?.name, "别名任务");
|
||||
assert.equal(task?.detail, "别名详情");
|
||||
assert.equal(task?.deliverables, "综合方案");
|
||||
assert.deepEqual(task?.selectedAngleIds, ["public_opinion", "law_policy"]);
|
||||
});
|
||||
|
||||
test("evaluation parser normalizes scores and fills missing candidates", () => {
|
||||
const outputs: Record<string, AgentOutputState> = {
|
||||
"strategy-selection-angle-governance": {
|
||||
status: "done",
|
||||
content: "A",
|
||||
steps: [],
|
||||
},
|
||||
"strategy-selection-angle-law-policy": { status: "done", content: "B", steps: [] },
|
||||
"strategy-selection-angle-security": {
|
||||
status: "error",
|
||||
content: "PARTIAL_FAILED_OUTPUT",
|
||||
steps: [],
|
||||
error: "failed",
|
||||
},
|
||||
};
|
||||
const text = `\`\`\`strategy-evaluation-json\n${JSON.stringify({
|
||||
evaluations: [
|
||||
{
|
||||
agentId: "strategy-selection-angle-governance",
|
||||
score: 101,
|
||||
conclusion: "优先推荐",
|
||||
comment: "清晰",
|
||||
},
|
||||
],
|
||||
})}\n\`\`\``;
|
||||
const evaluations = parseEvaluationsFromText(text, outputs);
|
||||
assert.equal(evaluations.length, 2);
|
||||
assert.equal(evaluations[0].score, 100);
|
||||
assert.ok(
|
||||
evaluations.some(
|
||||
(item) => item.agentId === "strategy-selection-angle-law-policy",
|
||||
),
|
||||
);
|
||||
assert.equal(createFallbackEvaluations(outputs).length, 2);
|
||||
assert.equal(buildJudgeBrief(EMPTY_TASK_DRAFT, outputs).includes("PARTIAL_FAILED_OUTPUT"), false);
|
||||
});
|
||||
@@ -0,0 +1,266 @@
|
||||
import { STRATEGY_ANGLES } from "./constants";
|
||||
import type {
|
||||
AgentOutputState,
|
||||
IntentTurn,
|
||||
ParallelAgentEvent,
|
||||
StrategyEvaluation,
|
||||
StrategyTaskDraft,
|
||||
} from "./types";
|
||||
|
||||
const clampScore = (value: unknown): number => {
|
||||
const score = Number(value);
|
||||
if (!Number.isFinite(score)) return 80;
|
||||
return Math.min(100, Math.max(0, Math.round(score)));
|
||||
};
|
||||
|
||||
function stringValue(value: unknown): string {
|
||||
return typeof value === "string" ? value.trim() : "";
|
||||
}
|
||||
|
||||
function stringList(value: unknown): string[] {
|
||||
if (!Array.isArray(value)) return [];
|
||||
return value.map(stringValue).filter(Boolean);
|
||||
}
|
||||
|
||||
export function extractFencedJson<T>(text: string, marker?: string): T | null {
|
||||
const escaped = marker?.replace(/[.*+?^${}()|[\]\\]/g, "\\$&");
|
||||
const patterns = [
|
||||
escaped ? new RegExp("```" + escaped + "\\s*([\\s\\S]*?)```", "i") : null,
|
||||
/```(?:json)?\s*([\s\S]*?)```/i,
|
||||
].filter(Boolean) as RegExp[];
|
||||
|
||||
for (const pattern of patterns) {
|
||||
const match = pattern.exec(text);
|
||||
if (!match?.[1]) continue;
|
||||
try {
|
||||
return JSON.parse(match[1].trim()) as T;
|
||||
} catch {
|
||||
// The model may have emitted another fenced block first; fall through to
|
||||
// the balanced-object fallback below.
|
||||
}
|
||||
}
|
||||
|
||||
const firstObject = text.indexOf("{");
|
||||
const lastObject = text.lastIndexOf("}");
|
||||
if (firstObject >= 0 && lastObject > firstObject) {
|
||||
try {
|
||||
return JSON.parse(text.slice(firstObject, lastObject + 1)) as T;
|
||||
} catch {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
export function stripStructuredBlocks(text: string): string {
|
||||
return text
|
||||
.replace(/```(?:strategy-task-json|strategy-evaluation-json)\s*[\s\S]*?```/gi, "")
|
||||
.replace(/\[(?:INTENT_READY|JUDGEMENT_READY)\]/gi, "")
|
||||
.trim();
|
||||
}
|
||||
|
||||
export function parseTaskDraftFromText(
|
||||
text: string,
|
||||
fallback: StrategyTaskDraft,
|
||||
): StrategyTaskDraft | null {
|
||||
const parsed = extractFencedJson<Record<string, unknown>>(text, "strategy-task-json");
|
||||
if (!parsed || typeof parsed !== "object") return null;
|
||||
const rawAngles = parsed.selectedAngleIds ?? parsed.recommended_angles;
|
||||
const angleIds = Array.isArray(rawAngles)
|
||||
? rawAngles
|
||||
.map(stringValue)
|
||||
.map((value) => {
|
||||
const normalized = value.toLowerCase().replaceAll("-", "_");
|
||||
return STRATEGY_ANGLES.find(
|
||||
(angle) =>
|
||||
angle.id === normalized ||
|
||||
angle.agentId === value ||
|
||||
angle.name === value ||
|
||||
angle.shortName === value,
|
||||
)?.id;
|
||||
})
|
||||
.filter((id): id is string => Boolean(id))
|
||||
: fallback.selectedAngleIds;
|
||||
|
||||
return {
|
||||
name: stringValue(parsed.name ?? parsed.task_name) || fallback.name,
|
||||
detail: stringValue(parsed.detail ?? parsed.task_detail) || fallback.detail,
|
||||
objective: stringValue(parsed.objective) || fallback.objective,
|
||||
prerequisites:
|
||||
stringValue(parsed.prerequisites) || fallback.prerequisites,
|
||||
constraints: stringValue(parsed.constraints) || fallback.constraints,
|
||||
deliverables:
|
||||
stringValue(parsed.deliverables ?? parsed.expected_outputs) || fallback.deliverables,
|
||||
acceptanceCriteria:
|
||||
stringValue(parsed.acceptanceCriteria) || fallback.acceptanceCriteria,
|
||||
horizon: stringValue(parsed.horizon) || fallback.horizon,
|
||||
selectedAngleIds: angleIds.length ? angleIds : fallback.selectedAngleIds,
|
||||
};
|
||||
}
|
||||
|
||||
export function createFallbackEvaluations(
|
||||
outputs: Record<string, AgentOutputState>,
|
||||
): StrategyEvaluation[] {
|
||||
return STRATEGY_ANGLES.filter(
|
||||
(angle) =>
|
||||
outputs[angle.agentId]?.status === "done" &&
|
||||
outputs[angle.agentId]?.content.trim(),
|
||||
).map((angle, index) => ({
|
||||
agentId: angle.agentId,
|
||||
score: Math.max(76, 88 - index),
|
||||
conclusion: index < 2 ? "优先推荐" : "建议采用",
|
||||
comment: `${angle.name}策略已形成完整交付，建议结合其他入选策略做冲突消解与阶段排序。`,
|
||||
strengths: ["角度明确", "具备行动结构"],
|
||||
risks: ["关键阈值仍需结合最新信息复核"],
|
||||
}),
|
||||
);
|
||||
}
|
||||
|
||||
export function parseEvaluationsFromText(
|
||||
text: string,
|
||||
outputs: Record<string, AgentOutputState>,
|
||||
): StrategyEvaluation[] {
|
||||
const parsed = extractFencedJson<
|
||||
{ evaluations?: Record<string, unknown>[] } | Record<string, unknown>[]
|
||||
>(text, "strategy-evaluation-json");
|
||||
const rows = Array.isArray(parsed) ? parsed : parsed?.evaluations;
|
||||
if (!Array.isArray(rows)) return createFallbackEvaluations(outputs);
|
||||
|
||||
const knownIds = new Set(STRATEGY_ANGLES.map((angle) => angle.agentId));
|
||||
const evaluations = rows
|
||||
.map((row): StrategyEvaluation | null => {
|
||||
const agentId = stringValue(row.agentId ?? row.agent_id);
|
||||
if (
|
||||
!knownIds.has(agentId) ||
|
||||
outputs[agentId]?.status !== "done" ||
|
||||
!outputs[agentId]?.content.trim()
|
||||
) return null;
|
||||
const rawConclusion = stringValue(row.conclusion);
|
||||
const conclusion: StrategyEvaluation["conclusion"] =
|
||||
rawConclusion === "优先推荐" ||
|
||||
rawConclusion === "建议采用" ||
|
||||
rawConclusion === "保留备选"
|
||||
? rawConclusion
|
||||
: clampScore(row.score) >= 88
|
||||
? "优先推荐"
|
||||
: clampScore(row.score) >= 78
|
||||
? "建议采用"
|
||||
: "保留备选";
|
||||
return {
|
||||
agentId,
|
||||
score: clampScore(row.score),
|
||||
conclusion,
|
||||
comment: stringValue(row.comment) || "请结合完整评判正文审阅。",
|
||||
strengths: stringList(row.strengths),
|
||||
risks: stringList(row.risks),
|
||||
};
|
||||
})
|
||||
.filter((item): item is StrategyEvaluation => item !== null);
|
||||
|
||||
if (!evaluations.length) return createFallbackEvaluations(outputs);
|
||||
|
||||
const byAgent = new Map(evaluations.map((item) => [item.agentId, item]));
|
||||
for (const fallback of createFallbackEvaluations(outputs)) {
|
||||
if (!byAgent.has(fallback.agentId)) byAgent.set(fallback.agentId, fallback);
|
||||
}
|
||||
return [...byAgent.values()].sort((a, b) => b.score - a.score);
|
||||
}
|
||||
|
||||
export function buildIntentBrief(
|
||||
turns: IntentTurn[],
|
||||
currentDraft: StrategyTaskDraft,
|
||||
): string {
|
||||
const conversation = turns
|
||||
.filter((turn) => turn.content.trim())
|
||||
.map((turn) => `${turn.role === "user" ? "用户" : "意图助手"}：${turn.content}`)
|
||||
.join("\n\n");
|
||||
return `你负责意图理解与任务定义。基于以下对话，先用简洁自然语言回应用户，再整理一份完整任务草稿。信息不全时做保守假设并明确标注，不要虚构实时事实。\n\n当前草稿（可据新信息修订）：\n${JSON.stringify(currentDraft, null, 2)}\n\n对话：\n${conversation}\n\n回复末尾必须追加一个可机器读取的代码块，字段名不得改变：\n\`\`\`strategy-task-json\n{"name":"任务名称","detail":"任务详情","objective":"目标","prerequisites":"前置条件","constraints":"约束与边界","deliverables":"交付物","acceptanceCriteria":"验收标准","horizon":"时间范围","selectedAngleIds":["governance","diplomacy","economy","security","public_opinion","law_policy"]}\n\`\`\`\n只选择与任务有关的角度。`;
|
||||
}
|
||||
|
||||
export function buildStrategyBrief(
|
||||
task: StrategyTaskDraft,
|
||||
selectedAngles = STRATEGY_ANGLES.filter((angle) =>
|
||||
task.selectedAngleIds.includes(angle.id),
|
||||
),
|
||||
): string {
|
||||
const angles = selectedAngles
|
||||
.map((angle) => `- ${angle.name}：${angle.description}`)
|
||||
.join("\n");
|
||||
return `你是其中一个专业角度的策略生成智能体，只从自己的职责角度输出一套可独立审阅的策略。\n\n任务详情：\n${JSON.stringify(task, null, 2)}\n\n本轮并行角度：\n${angles}\n\n请给出：核心判断、3—6项策略动作、实施阶段、触发/退出条件、指标、主要风险与协同依赖。避免空泛口号；涉及动态事实时说明需复核。对于地缘政治议题，坚持中立、降级避险、民生优先，不输出军事战术、目标选择、武器运用或规避监管建议。`;
|
||||
}
|
||||
|
||||
export function buildJudgeBrief(
|
||||
task: StrategyTaskDraft,
|
||||
outputs: Record<string, AgentOutputState>,
|
||||
): string {
|
||||
const strategies = STRATEGY_ANGLES.filter(
|
||||
(angle) =>
|
||||
outputs[angle.agentId]?.status === "done" &&
|
||||
outputs[angle.agentId]?.content.trim(),
|
||||
)
|
||||
.map(
|
||||
(angle) =>
|
||||
`## ${angle.name}\nagentId: ${angle.agentId}\n${outputs[angle.agentId].content}`,
|
||||
)
|
||||
.join("\n\n");
|
||||
return `你是独立策略评判智能体。请依据任务目标，对候选策略的目标贡献、可执行性、风险可控性、协同性和合规性进行比较。先输出总体评判与冲突提醒，再在末尾输出结构化量表。\n\n任务：\n${JSON.stringify(task, null, 2)}\n\n候选策略：\n${strategies}\n\n末尾必须追加：\n\`\`\`strategy-evaluation-json\n{"evaluations":[{"agentId":"候选agentId","score":0,"conclusion":"优先推荐|建议采用|保留备选","comment":"一句评价","strengths":["优势"],"risks":["风险"]}]}\n\`\`\`\n必须覆盖每个候选策略，score为0—100整数。`;
|
||||
}
|
||||
|
||||
export function buildSynthesisBrief(
|
||||
task: StrategyTaskDraft,
|
||||
selectedAgentIds: string[],
|
||||
outputs: Record<string, AgentOutputState>,
|
||||
evaluations: StrategyEvaluation[],
|
||||
): string {
|
||||
const evaluationMap = new Map(evaluations.map((item) => [item.agentId, item]));
|
||||
const selections = selectedAgentIds
|
||||
.map((agentId) => {
|
||||
const angle = STRATEGY_ANGLES.find((item) => item.agentId === agentId);
|
||||
const evaluation = evaluationMap.get(agentId);
|
||||
return `## ${angle?.name ?? agentId}\n评判：${evaluation ? `${evaluation.score}分，${evaluation.comment}` : "用户手动选入"}\n${outputs[agentId]?.content ?? ""}`;
|
||||
})
|
||||
.join("\n\n");
|
||||
return `你是方案整理智能体。请将用户选中的策略消除重复、处理冲突、明确优先级和依赖关系，整理为一份可直接下载的完整 Markdown 方案。\n\n任务：\n${JSON.stringify(task, null, 2)}\n\n入选策略：\n${selections}\n\n只输出最终 Markdown 正文。至少包含：执行摘要、目标与原则、综合策略、阶段路线图、责任与协同、指标与预警、风险及止损机制、待核验信息。不要输出代码围栏。对于地缘政治议题坚持中立、降级避险、民生优先，禁止军事战术和伤害性操作建议。`;
|
||||
}
|
||||
|
||||
export function parseSseChunk(
|
||||
buffer: string,
|
||||
flush = false,
|
||||
): { events: ParallelAgentEvent[]; rest: string } {
|
||||
const normalized = buffer.replace(/\r\n/g, "\n");
|
||||
const parts = normalized.split("\n\n");
|
||||
const rest = flush ? "" : (parts.pop() ?? "");
|
||||
const complete = flush ? parts.concat(parts.length ? [] : [normalized]) : parts;
|
||||
const events: ParallelAgentEvent[] = [];
|
||||
for (const frame of complete) {
|
||||
const payload = frame
|
||||
.split("\n")
|
||||
.filter((line) => line.startsWith("data:"))
|
||||
.map((line) => line.slice(5).trimStart())
|
||||
.join("\n")
|
||||
.trim();
|
||||
if (!payload || payload === "[DONE]") continue;
|
||||
try {
|
||||
const event = JSON.parse(payload) as ParallelAgentEvent;
|
||||
if (event && typeof event.type === "string") events.push(event);
|
||||
} catch {
|
||||
// Ignore one malformed frame instead of discarding the rest of a stream.
|
||||
}
|
||||
}
|
||||
return { events, rest };
|
||||
}
|
||||
|
||||
export function downloadMarkdown(markdown: string, fileName: string): void {
|
||||
const cleanName =
|
||||
fileName.replace(/\.(md|markdown)$/i, "").replace(/[<>:"/\\|?*\x00-\x1f]/g, "_").trim() ||
|
||||
"strategy-plan";
|
||||
const blob = new Blob([markdown], { type: "text/markdown;charset=utf-8" });
|
||||
const url = URL.createObjectURL(blob);
|
||||
const anchor = document.createElement("a");
|
||||
anchor.href = url;
|
||||
anchor.download = `${cleanName}.md`;
|
||||
document.body.appendChild(anchor);
|
||||
anchor.click();
|
||||
anchor.remove();
|
||||
window.setTimeout(() => URL.revokeObjectURL(url), 10_000);
|
||||
}
|
||||
@@ -0,0 +1,81 @@
|
||||
export type StrategyStage = "intent" | "workspace";
|
||||
|
||||
export type AgentRunStatus =
|
||||
| "idle"
|
||||
| "queued"
|
||||
| "running"
|
||||
| "done"
|
||||
| "error";
|
||||
|
||||
export interface StrategyAngle {
|
||||
id: string;
|
||||
agentId: string;
|
||||
name: string;
|
||||
shortName: string;
|
||||
description: string;
|
||||
accent: string;
|
||||
}
|
||||
|
||||
export interface StrategyTaskDraft {
|
||||
name: string;
|
||||
detail: string;
|
||||
objective: string;
|
||||
prerequisites: string;
|
||||
constraints: string;
|
||||
deliverables: string;
|
||||
acceptanceCriteria: string;
|
||||
horizon: string;
|
||||
selectedAngleIds: string[];
|
||||
}
|
||||
|
||||
export interface IntentTurn {
|
||||
id: string;
|
||||
role: "user" | "assistant";
|
||||
content: string;
|
||||
streaming?: boolean;
|
||||
isDemo?: boolean;
|
||||
}
|
||||
|
||||
export interface AgentOutputState {
|
||||
status: AgentRunStatus;
|
||||
content: string;
|
||||
steps: string[];
|
||||
error?: string;
|
||||
isDemo?: boolean;
|
||||
}
|
||||
|
||||
export interface StrategyEvaluation {
|
||||
agentId: string;
|
||||
score: number;
|
||||
conclusion: "优先推荐" | "建议采用" | "保留备选";
|
||||
comment: string;
|
||||
strengths: string[];
|
||||
risks: string[];
|
||||
}
|
||||
|
||||
export interface ParallelAgentPayload {
|
||||
task_name: string;
|
||||
brief: string;
|
||||
agent_ids: string[];
|
||||
model?: string;
|
||||
}
|
||||
|
||||
export type ParallelAgentEvent =
|
||||
| { type: "agent_start"; agent_id: string }
|
||||
| { type: "delta"; agent_id: string; text: string }
|
||||
| {
|
||||
type: "step";
|
||||
agent_id: string;
|
||||
key?: string;
|
||||
label?: string;
|
||||
args?: Record<string, unknown>;
|
||||
}
|
||||
| { type: "agent_done"; agent_id: string; content: string }
|
||||
| { type: "agent_error"; agent_id: string; message: string }
|
||||
| {
|
||||
type: "agent_clarification";
|
||||
agent_id: string;
|
||||
content?: string;
|
||||
question?: string;
|
||||
}
|
||||
| { type: "all_done" };
|
||||
Reference in new issue
Block a user