0.1.14 上线前更改
This commit is contained in:
liaibo
@@ -0,0 +1,610 @@
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"use client";
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import React, { useEffect, useMemo, useRef, useState } from "react";
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import { Bot, Settings, Wrench, X } from "lucide-react";
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import { Button } from "@/components/ui/button";
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import { ScrollArea } from "@/components/ui/scroll-area";
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import { Textarea } from "@/components/ui/textarea";
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type AgentMessage = { role: "user" | "assistant"; content: string };
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type ToolLog =
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| { type: "tool_call"; id: string; tool: string; args: Record<string, unknown> }
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| { type: "tool_result"; id: string; tool: string; ok: boolean; ms: number; result: unknown }
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| { type: "error"; message: string };
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type PanelPage = "chat" | "tools" | "settings";
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type AgentAttachment = { id: string; title: string; fileUrl: string; mimeType?: string | null };
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const CHANNEL = "mnote_onlyoffice_agent_tools_v1";
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const DEFAULT_MESSAGES: AgentMessage[] = [
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{
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role: "assistant",
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content:
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"你好，我是 OnlyOffice AI Agent。\n- 先选中一段文字，再说“改写/补全/翻译/润色/删除/插入”\n- 我会通过 oo_* 工具读取/替换选区\n- 需要引用资料时可联网检索或用 LightRAG/文档检索",
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},
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];
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const ONLINE_MODELS = [
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"",
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"gemini-2.5-flash",
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"gemini-2.5-pro",
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"gemini-3-pro-preview",
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"gemini-3-flash-preview",
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] as const;
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const clamp = (n: number, min: number, max: number) => Math.max(min, Math.min(max, n));
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const isRecord = (v: unknown): v is Record<string, unknown> =>
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typeof v === "object" && v !== null && !Array.isArray(v);
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const parseSseChunks = async (res: Response, onEvent: (event: string, dataText: string) => void) => {
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if (!res.body) throw new Error("响应不支持流式读取");
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const reader = res.body.getReader();
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const decoder = new TextDecoder("utf-8");
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let buffer = "";
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while (true) {
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const { value, done } = await reader.read();
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if (done) break;
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buffer += decoder.decode(value, { stream: true });
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while (true) {
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const sep = buffer.indexOf("\n\n");
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if (sep === -1) break;
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const raw = buffer.slice(0, sep);
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buffer = buffer.slice(sep + 2);
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// 注释/心跳：以 ":" 开头
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if (raw.trimStart().startsWith(":")) continue;
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const lines = raw.split(/\r?\n/);
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let event = "message";
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const dataLines: string[] = [];
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for (const line of lines) {
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if (line.startsWith("event:")) event = line.slice("event:".length).trim() || "message";
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if (line.startsWith("data:")) dataLines.push(line.slice("data:".length).trimStart());
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}
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onEvent(event, dataLines.join("\n"));
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}
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}
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};
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const blobToDataUrl = (blob: Blob) =>
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new Promise<string>((resolve, reject) => {
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const reader = new FileReader();
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reader.onload = () => resolve(String(reader.result ?? ""));
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reader.onerror = () => reject(new Error("读取图片失败（FileReader）"));
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reader.readAsDataURL(blob);
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});
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export function OnlyOfficeAiAgentPanel({
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openFile,
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}: {
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openFile: { id: string; title: string; fileUrl: string; mimeType?: string | null };
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}) {
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const [open, setOpen] = useState(false);
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const [page, setPage] = useState<PanelPage>("chat");
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const [messages, setMessages] = useState<AgentMessage[]>(() => DEFAULT_MESSAGES);
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const [input, setInput] = useState("");
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const [loading, setLoading] = useState(false);
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const [toolLogs, setToolLogs] = useState<ToolLog[]>([]);
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const [networkOn, setNetworkOn] = useState(true);
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const [toolAuto, setToolAuto] = useState(true);
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const [aiProvider, setAiProvider] = useState<"online" | "local">("online");
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const [aiModel, setAiModel] = useState<string>("");
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const [maxSteps, setMaxSteps] = useState<number>(10);
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const [pluginReady, setPluginReady] = useState(false);
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const abortRef = useRef<AbortController | null>(null);
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const pluginTargetRef = useRef<{ win: Window | null; origin: string }>({ win: null, origin: "*" });
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const pendingPluginCallsRef = useRef<
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Map<string, { resolve: (v: unknown) => void; reject: (e: Error) => void; timeoutId: number }>
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>(new Map());
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const attachments = useMemo<AgentAttachment[]>(
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() => [
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{
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id: openFile.id,
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title: openFile.title,
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fileUrl: openFile.fileUrl,
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mimeType: openFile.mimeType ?? null,
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},
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],
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[openFile.fileUrl, openFile.id, openFile.mimeType, openFile.title],
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);
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useEffect(() => {
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try {
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const stepsRaw = window.localStorage.getItem("onlyoffice_ai_max_steps") || "";
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const providerRaw = (window.localStorage.getItem("onlyoffice_ai_provider") || "").trim();
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const modelRaw = window.localStorage.getItem("onlyoffice_ai_model") || "";
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const parsed = Number(stepsRaw);
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if (providerRaw === "online" || providerRaw === "local") setAiProvider(providerRaw);
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if (typeof modelRaw === "string") setAiModel(modelRaw);
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if (Number.isFinite(parsed) && parsed >= 1) setMaxSteps(clamp(Math.floor(parsed), 1, 24));
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} catch {
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// ignore
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}
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}, []);
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useEffect(() => {
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try {
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window.localStorage.setItem("onlyoffice_ai_provider", aiProvider);
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window.localStorage.setItem("onlyoffice_ai_model", aiModel);
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window.localStorage.setItem("onlyoffice_ai_max_steps", String(maxSteps));
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} catch {
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// ignore
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}
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}, [aiProvider, aiModel, maxSteps]);
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useEffect(() => {
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const onMessage = (ev: MessageEvent) => {
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const data = ev.data as unknown;
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if (!isRecord(data)) return;
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if (data.channel !== CHANNEL) return;
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const type = String(data.type ?? "").trim();
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if (type === "ready") {
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// 记录插件窗口与来源，后续回发消息更稳
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pluginTargetRef.current = {
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// eslint-disable-next-line @typescript-eslint/no-explicit-any
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win: (ev.source as any) && typeof (ev.source as any).postMessage === "function" ? ((ev.source as any) as Window) : null,
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origin: String(ev.origin || "*"),
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};
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setPluginReady(true);
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return;
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}
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if (type === "result") {
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const callId = String(data.callId ?? "").trim();
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if (!callId) return;
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const pending = pendingPluginCallsRef.current.get(callId);
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if (!pending) return;
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pendingPluginCallsRef.current.delete(callId);
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window.clearTimeout(pending.timeoutId);
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const ok = Boolean(data.ok);
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if (ok) {
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pending.resolve("result" in data ? (data as Record<string, unknown>).result : null);
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} else {
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pending.reject(new Error(String((data as Record<string, unknown>).error ?? "插件执行失败")));
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}
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}
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};
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window.addEventListener("message", onMessage);
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return () => window.removeEventListener("message", onMessage);
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}, []);
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const callPlugin = async (callId: string, tool: string, args: Record<string, unknown>) => {
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const target = pluginTargetRef.current;
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if (!target.win) throw new Error("插件未就绪（未收到 ready），请稍等或刷新文档");
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const payload = { channel: CHANNEL, type: "call", callId, tool, args };
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const result = await new Promise<unknown>((resolve, reject) => {
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const timeoutId = window.setTimeout(() => {
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pendingPluginCallsRef.current.delete(callId);
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reject(new Error("插件调用超时"));
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}, 60_000);
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pendingPluginCallsRef.current.set(callId, { resolve, reject, timeoutId });
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try {
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target.win!.postMessage(payload, target.origin || "*");
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} catch (e) {
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window.clearTimeout(timeoutId);
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pendingPluginCallsRef.current.delete(callId);
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reject(e instanceof Error ? e : new Error(String(e)));
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}
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});
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return result;
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};
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const postClientToolResult = async ({
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requestId,
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callId,
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ok,
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result,
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error,
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}: {
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requestId: string;
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callId: string;
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ok: boolean;
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result?: unknown;
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error?: string;
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}) => {
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await fetch("/api/ai-agent/client-tool-result", {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({ requestId, callId, ok, result, error }),
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});
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};
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const resolveImageRefToDataUrl = async (imageRef: string) => {
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const s = String(imageRef ?? "").trim();
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if (!s) throw new Error("缺少 imageRef");
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// 1) 优先当作附件 id
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const match = attachments.find((a) => a.id === s) ?? null;
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const url = match ? match.fileUrl : s;
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const res = await fetch(url);
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if (!res.ok) throw new Error(`图片下载失败：HTTP ${res.status}`);
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const blob = await res.blob();
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return await blobToDataUrl(blob);
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};
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const handleClientToolCall = async (payloadText: string) => {
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let data: unknown = null;
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try {
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data = JSON.parse(payloadText || "null");
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} catch {
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return;
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}
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const obj = isRecord(data) ? data : ({} as Record<string, unknown>);
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const requestId = String(obj.requestId ?? "").trim();
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const callId = String(obj.callId ?? "").trim();
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const tool = String(obj.tool ?? "").trim();
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const args = isRecord(obj.args) ? (obj.args as Record<string, unknown>) : {};
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if (!requestId || !callId || !tool) return;
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try {
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let result: unknown = null;
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if (tool === "oo_insert_image") {
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const imageRef = String(args.imageRef ?? "").trim();
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const src = await resolveImageRefToDataUrl(imageRef);
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const width = Number(args.width ?? 0);
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const height = Number(args.height ?? 0);
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result = await callPlugin(callId, tool, { ...args, src, width, height });
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} else {
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result = await callPlugin(callId, tool, args);
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}
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await postClientToolResult({ requestId, callId, ok: true, result });
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} catch (e) {
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const msg = e instanceof Error ? e.message : String(e);
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await postClientToolResult({ requestId, callId, ok: false, error: msg });
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}
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};
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const stop = () => {
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abortRef.current?.abort();
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abortRef.current = null;
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setLoading(false);
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};
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const send = async () => {
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const text = input.trim();
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if (!text) return;
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if (loading) return;
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const nextMessages: AgentMessage[] = [...messages, { role: "user", content: text }];
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setMessages(nextMessages);
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setInput("");
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setLoading(true);
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setToolLogs([]);
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const controller = new AbortController();
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abortRef.current = controller;
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try {
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const res = await fetch("/api/ai-agent/run", {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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signal: controller.signal,
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body: JSON.stringify({
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stream: true,
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maxSteps,
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scope: "onlyoffice",
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messages: nextMessages.slice(-20),
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attachments,
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toolChoice: {
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mode: toolAuto ? "auto" : "manual",
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toolSets: [
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"toolset.readonly",
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"toolset.rag_read",
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"toolset.media_read",
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"toolset.docs_read",
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"toolset.onlyoffice_editor",
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],
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},
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options: { searxng: networkOn, ai: { provider: aiProvider, model: aiModel } },
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}),
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});
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if (!res.ok) {
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const j = (await res.json().catch(() => null)) as unknown;
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const err =
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typeof j === "object" && j && "error" in j ? String((j as Record<string, unknown>).error ?? "") : "";
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throw new Error(err || `HTTP ${res.status}`);
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}
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await parseSseChunks(res, (event, dataText) => {
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if (event === "assistant_message") {
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try {
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const d = JSON.parse(dataText || "null") as unknown;
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const t = isRecord(d) && "text" in d ? String(d.text ?? "") : "";
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if (t) setMessages((prev) => [...prev, { role: "assistant", content: t }]);
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} catch {
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// ignore
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}
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return;
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}
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if (event === "client_tool_call") {
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void handleClientToolCall(dataText);
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return;
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}
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if (event === "tool_call") {
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try {
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const d = JSON.parse(dataText || "null") as unknown;
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const obj = isRecord(d) ? d : ({} as Record<string, unknown>);
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setToolLogs((prev) => [
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...prev,
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{
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type: "tool_call",
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id: String(obj.id ?? ""),
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tool: String(obj.tool ?? ""),
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args: (isRecord(obj.args) ? obj.args : {}) as Record<string, unknown>,
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},
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]);
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} catch {
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// ignore
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}
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return;
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}
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if (event === "tool_result") {
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try {
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const d = JSON.parse(dataText || "null") as unknown;
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const obj = isRecord(d) ? d : ({} as Record<string, unknown>);
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setToolLogs((prev) => [
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...prev,
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{
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type: "tool_result",
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id: String(obj.id ?? ""),
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tool: String(obj.tool ?? ""),
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ok: Boolean(obj.ok),
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ms: Number(obj.ms ?? 0),
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result: "result" in obj ? obj.result : null,
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},
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||||
]);
|
||||
} catch {
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// ignore
|
||||
}
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return;
|
||||
}
|
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|
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if (event === "error") {
|
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try {
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const d = JSON.parse(dataText || "null") as unknown;
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const msg = isRecord(d) && "message" in d ? String(d.message ?? "") : "";
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setToolLogs((prev) => [...prev, { type: "error", message: msg || "未知错误" }]);
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||||
} catch {
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||||
setToolLogs((prev) => [...prev, { type: "error", message: "未知错误" }]);
|
||||
}
|
||||
return;
|
||||
}
|
||||
});
|
||||
} catch (e) {
|
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const msg = e instanceof Error ? e.message : String(e);
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||||
setToolLogs((prev) => [...prev, { type: "error", message: msg }]);
|
||||
} finally {
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||||
abortRef.current = null;
|
||||
setLoading(false);
|
||||
}
|
||||
};
|
||||
|
||||
const canSend = useMemo(() => input.trim().length > 0 && !loading, [input, loading]);
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||||
|
||||
return (
|
||||
<>
|
||||
<div className="fixed bottom-4 right-4 z-[60]">
|
||||
<Button
|
||||
className="shadow"
|
||||
onClick={() => {
|
||||
setOpen((v) => !v);
|
||||
if (!open) setPage("chat");
|
||||
}}
|
||||
>
|
||||
<Bot className="mr-2 h-4 w-4" />
|
||||
AI
|
||||
</Button>
|
||||
</div>
|
||||
|
||||
{open ? (
|
||||
<div className="fixed right-0 top-0 z-[70] h-screen w-[420px] border-l bg-background shadow-xl">
|
||||
<div className="flex items-center justify-between border-b px-3 py-2">
|
||||
<div className="text-sm font-semibold">OnlyOffice AI</div>
|
||||
<Button variant="ghost" size="icon" onClick={() => setOpen(false)}>
|
||||
<X className="h-4 w-4" />
|
||||
</Button>
|
||||
</div>
|
||||
|
||||
<div className="flex gap-1 border-b px-2 py-2">
|
||||
<Button
|
||||
variant={page === "chat" ? "default" : "secondary"}
|
||||
size="sm"
|
||||
onClick={() => setPage("chat")}
|
||||
>
|
||||
<Bot className="mr-2 h-4 w-4" />
|
||||
对话
|
||||
</Button>
|
||||
<Button
|
||||
variant={page === "tools" ? "default" : "secondary"}
|
||||
size="sm"
|
||||
onClick={() => setPage("tools")}
|
||||
>
|
||||
<Wrench className="mr-2 h-4 w-4" />
|
||||
工具
|
||||
</Button>
|
||||
<Button
|
||||
variant={page === "settings" ? "default" : "secondary"}
|
||||
size="sm"
|
||||
onClick={() => setPage("settings")}
|
||||
>
|
||||
<Settings className="mr-2 h-4 w-4" />
|
||||
设置
|
||||
</Button>
|
||||
</div>
|
||||
|
||||
{page === "tools" ? (
|
||||
<div className="space-y-3 p-3 text-sm">
|
||||
<div className="flex items-center justify-between">
|
||||
<div className="font-medium">联网检索</div>
|
||||
<input
|
||||
type="checkbox"
|
||||
checked={networkOn}
|
||||
onChange={(e) => setNetworkOn(e.target.checked)}
|
||||
disabled={loading}
|
||||
/>
|
||||
</div>
|
||||
<div className="flex items-center justify-between">
|
||||
<div className="font-medium">自动工具</div>
|
||||
<input
|
||||
type="checkbox"
|
||||
checked={toolAuto}
|
||||
onChange={(e) => setToolAuto(e.target.checked)}
|
||||
disabled={loading}
|
||||
/>
|
||||
</div>
|
||||
<div className="rounded border p-2 text-xs text-muted-foreground">
|
||||
<div>插件状态：{pluginReady ? "已连接" : "未连接（等待 ready）"}</div>
|
||||
<div>说明：oo_* 工具依赖该插件执行“选区读写”。</div>
|
||||
</div>
|
||||
|
||||
<details open className="rounded border p-2">
|
||||
<summary className="cursor-pointer select-none text-sm font-medium">工具日志（可折叠）</summary>
|
||||
<div className="mt-2 space-y-2">
|
||||
{toolLogs.length === 0 ? <div className="text-muted-foreground">暂无工具日志</div> : null}
|
||||
{toolLogs.map((l, idx) => {
|
||||
if (l.type === "error") {
|
||||
return (
|
||||
<div key={idx} className="rounded border border-red-200 bg-red-50 p-2 text-red-700">
|
||||
错误：{l.message}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
if (l.type === "tool_call") {
|
||||
return (
|
||||
<div key={idx} className="rounded border p-2">
|
||||
<div className="text-xs text-muted-foreground">tool_call · {l.id}</div>
|
||||
<div className="font-medium">{l.tool}</div>
|
||||
<pre className="mt-1 whitespace-pre-wrap text-xs">{JSON.stringify(l.args, null, 2)}</pre>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
return (
|
||||
<div key={idx} className="rounded border p-2">
|
||||
<div className="text-xs text-muted-foreground">
|
||||
tool_result · {l.id} · {l.ok ? "ok" : "fail"} · {l.ms}ms
|
||||
</div>
|
||||
<div className="font-medium">{l.tool}</div>
|
||||
<pre className="mt-1 whitespace-pre-wrap text-xs">{JSON.stringify(l.result, null, 2)}</pre>
|
||||
</div>
|
||||
);
|
||||
})}
|
||||
</div>
|
||||
</details>
|
||||
</div>
|
||||
) : null}
|
||||
|
||||
{page === "settings" ? (
|
||||
<div className="space-y-3 p-3 text-sm">
|
||||
<label className="flex items-center justify-between gap-2">
|
||||
<span className="font-medium">最大步数</span>
|
||||
<input
|
||||
className="w-[96px] rounded border px-2 py-1 text-xs"
|
||||
type="number"
|
||||
min={1}
|
||||
max={24}
|
||||
step={1}
|
||||
value={maxSteps}
|
||||
onChange={(e) => {
|
||||
const v = Number(e.target.value);
|
||||
if (!Number.isFinite(v)) return;
|
||||
setMaxSteps(clamp(Math.floor(v), 1, 24));
|
||||
}}
|
||||
disabled={loading}
|
||||
/>
|
||||
</label>
|
||||
|
||||
<label className="flex items-center justify-between gap-2">
|
||||
<span className="font-medium">AI 提供方</span>
|
||||
<select
|
||||
className="rounded border px-2 py-1 text-xs"
|
||||
value={aiProvider}
|
||||
onChange={(e) => setAiProvider(e.target.value === "local" ? "local" : "online")}
|
||||
disabled={loading}
|
||||
>
|
||||
<option value="online">在线</option>
|
||||
<option value="local">本地</option>
|
||||
</select>
|
||||
</label>
|
||||
|
||||
<label className="flex items-center justify-between gap-2">
|
||||
<span className="font-medium">模型</span>
|
||||
<select
|
||||
className="w-[220px] rounded border px-2 py-1 text-xs"
|
||||
value={aiModel}
|
||||
onChange={(e) => setAiModel(e.target.value)}
|
||||
disabled={loading || aiProvider !== "online"}
|
||||
>
|
||||
{ONLINE_MODELS.map((m) => (
|
||||
<option key={m} value={m}>
|
||||
{m || "默认"}
|
||||
</option>
|
||||
))}
|
||||
</select>
|
||||
</label>
|
||||
</div>
|
||||
) : null}
|
||||
|
||||
{page === "chat" ? (
|
||||
<div className="flex h-[calc(100vh-96px)] flex-col">
|
||||
<ScrollArea className="flex-1">
|
||||
<div className="space-y-3 p-3 text-sm">
|
||||
{messages.map((m, idx) => (
|
||||
<div key={idx} className="space-y-1">
|
||||
<div className="text-xs text-muted-foreground">{m.role === "user" ? "用户" : "AI"}</div>
|
||||
<div className="whitespace-pre-wrap">{m.content}</div>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
</ScrollArea>
|
||||
|
||||
<div className="border-t p-3">
|
||||
<div className="flex gap-2">
|
||||
<Textarea
|
||||
value={input}
|
||||
onChange={(e) => setInput(e.target.value)}
|
||||
placeholder="输入你的需求（Enter 发送，Shift+Enter 换行）"
|
||||
className="min-h-[72px] flex-1"
|
||||
onKeyDown={(e) => {
|
||||
if (e.key === "Enter" && !e.shiftKey) {
|
||||
e.preventDefault();
|
||||
if (canSend) void send();
|
||||
}
|
||||
}}
|
||||
/>
|
||||
<div className="flex flex-col gap-2">
|
||||
<Button disabled={!canSend} onClick={() => void send()}>
|
||||
发送
|
||||
</Button>
|
||||
<Button variant="secondary" disabled={!loading} onClick={stop}>
|
||||
停止
|
||||
</Button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
) : null}
|
||||
</div>
|
||||
) : null}
|
||||
</>
|
||||
);
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user