333 lines
16 KiB
TypeScript
333 lines
16 KiB
TypeScript
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import type { OpenAiCompatibleChatMessage, OpenAiCompatibleChatOptions } from "@/lib/ai/openaiCompatibleChat";
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import { openAiCompatibleChat } from "@/lib/ai/openaiCompatibleChat";
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import { parseToolTagCalls, formatToolResultTag } from "../protocol/toolTagProtocol";
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export type RunAiAgentArgs = {
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userMessages: Array<{ role: "user" | "assistant"; content: string }>;
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cfg: OpenAiCompatibleChatOptions;
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allowedToolIds: Set<string>;
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runTool: (toolId: string, toolArgs: Record<string, unknown>) => Promise<unknown>;
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maxSteps?: number;
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onEvent?: (event: { type: string; data: unknown }) => void;
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systemContextText?: string;
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defaultMindmapTargetUid?: string;
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};
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const nowMs = () => Date.now();
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const DEFAULT_MAX_STEPS = 10;
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const safeParseJsonObject = (raw: string): Record<string, unknown> | null => {
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const s = String(raw ?? "").trim();
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if (!s) return null;
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try {
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const parsed = JSON.parse(s);
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if (parsed && typeof parsed === "object" && !Array.isArray(parsed)) return parsed as Record<string, unknown>;
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return null;
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} catch {
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return null;
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}
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};
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const buildSystemPrompt = (allowedTools: Set<string>, systemContextText?: string) => {
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const toolLines: string[] = [];
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if (allowedTools.has("search_web")) {
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toolLines.push("- search_web：<search_web>{\"query\":\"...\",\"count\":6}</search_web>");
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}
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if (allowedTools.has("rag_lightrag_query")) {
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toolLines.push(
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"- rag_lightrag_query：<rag_lightrag_query>{\"query\":\"...\",\"mode\":\"mix\",\"topK\":12,\"chunkTopK\":12}</rag_lightrag_query>",
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);
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}
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if (allowedTools.has("docs_search")) {
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toolLines.push("- docs_search：<docs_search>{\"query\":\"...\",\"limit\":12}</docs_search>");
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}
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if (allowedTools.has("docs_read")) {
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toolLines.push("- docs_read：<docs_read>{\"documentId\":\"...\",\"maxChars\":2500}</docs_read>");
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}
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if (allowedTools.has("image_read")) {
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toolLines.push("- image_read：<image_read>{\"attachmentRef\":\"...\"}</image_read>");
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}
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if (allowedTools.has("slash_run")) {
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toolLines.push("- slash_run：<slash_run>{\"text\":\"/new 新页面标题\"}</slash_run>");
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}
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if (allowedTools.has("doc_get")) {
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toolLines.push("- doc_get：<doc_get>{\"maxBlocks\":80}</doc_get>");
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}
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if (allowedTools.has("doc_find")) {
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toolLines.push("- doc_find：<doc_find>{\"query\":\"...\",\"maxResults\":8}</doc_find>");
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}
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if (allowedTools.has("doc_insert_blocks")) {
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toolLines.push(
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"- doc_insert_blocks：<doc_insert_blocks>{\"afterBlockId\":\"...\",\"blocks\":[{\"type\":\"heading\",\"level\":2,\"text\":\"...\"},{\"type\":\"paragraph\",\"text\":\"...\"}]}</doc_insert_blocks>",
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);
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}
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if (allowedTools.has("doc_replace_range")) {
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toolLines.push(
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"- doc_replace_range：<doc_replace_range>{\"blockId\":\"...\",\"text\":\"...\",\"mode\":\"replace\"}</doc_replace_range>",
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);
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}
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if (allowedTools.has("mindmap_get")) {
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toolLines.push("- mindmap_get：<mindmap_get>{\"maxNodes\":120}</mindmap_get>");
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}
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if (allowedTools.has("mindmap_get_subtree")) {
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toolLines.push("- mindmap_get_subtree：<mindmap_get_subtree>{\"uid\":\"...\",\"depth\":2,\"maxNodes\":60}</mindmap_get_subtree>");
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}
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if (allowedTools.has("mindmap_apply_ops")) {
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toolLines.push("- mindmap_apply_ops：<mindmap_apply_ops>{\"ops\":[{\"op\":\"updateText\",\"uid\":\"...\",\"text\":\"...\"}],\"reason\":\"...\"}</mindmap_apply_ops>");
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}
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if (allowedTools.has("mindmap_add_child")) {
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toolLines.push(
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"- mindmap_add_child：<mindmap_add_child>{\"parentUid\":\"...\",\"text\":\"...\",\"hyperlink\":\"https://...\",\"note\":\"...\",\"refs\":[{\"kind\":\"url\",\"fileUrl\":\"https://...\"}]}</mindmap_add_child>",
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);
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}
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if (allowedTools.has("mindmap_add_sibling_after")) {
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toolLines.push("- mindmap_add_sibling_after：<mindmap_add_sibling_after>{\"targetUid\":\"...\",\"text\":\"...\",\"hyperlink\":\"https://...\"}</mindmap_add_sibling_after>");
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}
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if (allowedTools.has("mindmap_update_node_text")) {
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toolLines.push("- mindmap_update_node_text：<mindmap_update_node_text>{\"uid\":\"...\",\"text\":\"...\"}</mindmap_update_node_text>");
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}
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if (allowedTools.has("mindmap_set_hyperlink")) {
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toolLines.push("- mindmap_set_hyperlink：<mindmap_set_hyperlink>{\"uid\":\"...\",\"hyperlink\":\"https://...\"}</mindmap_set_hyperlink>（清除传 null）");
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}
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if (allowedTools.has("mindmap_append_note")) {
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toolLines.push("- mindmap_append_note：<mindmap_append_note>{\"uid\":\"...\",\"markdown\":\"...\"}</mindmap_append_note>");
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}
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if (allowedTools.has("mindmap_set_refs")) {
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toolLines.push("- mindmap_set_refs：<mindmap_set_refs>{\"uid\":\"...\",\"refs\":[{\"kind\":\"url\",\"fileUrl\":\"https://...\"}]}</mindmap_set_refs>");
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}
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if (allowedTools.has("mindmap_delete_node")) {
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toolLines.push("- mindmap_delete_node：<mindmap_delete_node>{\"uid\":\"...\"}</mindmap_delete_node>");
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}
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if (allowedTools.has("mindmap_add_attachment_ref")) {
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toolLines.push("- mindmap_add_attachment_ref：<mindmap_add_attachment_ref>{\"uid\":\"...\",\"attachmentId\":\"...\",\"page\":12,\"mode\":\"append\"}</mindmap_add_attachment_ref>");
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}
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if (allowedTools.has("mindmap_add_attachment_child")) {
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toolLines.push("- mindmap_add_attachment_child：<mindmap_add_attachment_child>{\"parentUid\":\"...\",\"attachmentId\":\"...\",\"page\":12}</mindmap_add_attachment_child>");
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}
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if (allowedTools.has("mindmap_add_image_child")) {
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toolLines.push("- mindmap_add_image_child：<mindmap_add_image_child>{\"parentUid\":\"...\",\"imageRef\":\"...\",\"caption\":\"...\"}</mindmap_add_image_child>");
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}
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if (allowedTools.has("mindmap_append_image_note")) {
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toolLines.push("- mindmap_append_image_note：<mindmap_append_image_note>{\"uid\":\"...\",\"imageRef\":\"...\"}</mindmap_append_image_note>");
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}
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if (allowedTools.has("mindmap_expand_node")) {
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toolLines.push("- mindmap_expand_node：<mindmap_expand_node>{\"targetUid\":\"...\",\"instruction\":\"...\"}</mindmap_expand_node>");
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}
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const guideLines: string[] = [];
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guideLines.push("- 先用只读工具定位（需要时再检索），再做最小范围写入。");
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if (allowedTools.has("search_web")) {
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guideLines.push("- 需要来源时先 search_web，再把 URL 放进最终回答或写入引用字段。");
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}
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if (allowedTools.has("rag_lightrag_query")) {
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guideLines.push("- 需要从本地知识库语义检索/汇总：优先 rag_lightrag_query；若还需要网页来源，再额外 search_web。");
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}
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if (allowedTools.has("docs_search") || allowedTools.has("docs_read")) {
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guideLines.push("- 跨页面找内容：先 docs_search 找到 documentId，再 docs_read 读取原文片段（需要时再到对应页面使用 doc_* 写入）。");
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}
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if (allowedTools.has("image_read")) {
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guideLines.push("- 需要读图：用 image_read 从 media_assets.ocr_text 获取文字（attachmentRef 可用附件 id/title/url 片段）。");
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}
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if (allowedTools.has("slash_run")) {
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guideLines.push("- 需要创建/改名：用 slash_run 执行 /new 或 /rename（这是写工具，只有在用户明确要求时才调用）。");
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}
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if (
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allowedTools.has("doc_get") ||
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allowedTools.has("doc_find") ||
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allowedTools.has("doc_insert_blocks") ||
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allowedTools.has("doc_replace_range")
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) {
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guideLines.push("- 写页面前：先 doc_get 或 doc_find 确认 blockId；再用 doc_* 写工具插入/替换。");
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guideLines.push("- doc_insert_blocks 适合新增标题/段落；doc_replace_range 适合改写某个段落/标题的文本。");
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}
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if (
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allowedTools.has("mindmap_get") ||
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allowedTools.has("mindmap_get_subtree") ||
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allowedTools.has("mindmap_apply_ops") ||
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allowedTools.has("mindmap_expand_node")
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) {
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guideLines.push("- 思维导图小改动优先用细粒度 mindmap_* 写工具（add_child/update/set_hyperlink/append_note/set_refs 等）。");
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guideLines.push("- 只有当需要一次性执行多条混合操作时才用 mindmap_apply_ops。");
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guideLines.push("- 附件的 id 与 url 在“当前上下文”里（attachments 列表）。");
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guideLines.push("- 挂到已有节点：mindmap_add_attachment_ref；把附件变成节点：mindmap_add_attachment_child。");
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guideLines.push("- 插入图片：mindmap_add_image_child 或 mindmap_append_image_note（图片 URL 可来自 attachments 或 https 链接）。");
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}
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const hardRules: string[] = [];
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hardRules.push("- 当用户询问价格/版本/配置信息并要求“最新/准确/带来源”时：优先调用 search_web 获取来源，再回答。");
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hardRules.push("- 如果你调用了 search_web：最终回答需给出“来源”列表（至少 2 条 URL）；未调用 search_web 时不要编造来源。");
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hardRules.push("- 最终回答不要再输出任何工具标签。");
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if (allowedTools.has("slash_run")) {
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hardRules.push("- slash_run 属于写工具：只有在用户明确要求“创建/改名/执行斜杠命令”时才调用；否则不要擅自创建新文档。");
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}
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if (allowedTools.has("mindmap_apply_ops") || allowedTools.has("mindmap_expand_node")) {
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hardRules.push("- 涉及思维导图写入时：只能通过 mindmap_* 写工具落盘；不要输出整棵树覆盖。");
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}
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if (allowedTools.has("doc_insert_blocks") || allowedTools.has("doc_replace_range")) {
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hardRules.push("- 涉及页面写入时：只能通过 doc_* 写工具落入页面；不要让用户复制粘贴，也不要输出整篇 blocks JSON 让用户手动替换。");
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}
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hardRules.push("- 若上下文包含 selectedUids：默认使用第一个 uid 作为目标节点（除非用户明确给出 targetUid）。");
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return [
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"你是一个“AI Agent”（类似 Cline/VSCode Chat）。你可以通过工具完成任务，并把步骤展示给用户。",
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systemContextText ? `\n当前上下文：\n${systemContextText.trim()}\n` : "",
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"",
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"工具调用协议（硬性）：",
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"1) 当你需要调用工具时，必须只输出一个工具标签（不要输出其它文字）。",
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"2) 标签格式：<tool_name>{...JSON...}</tool_name>，JSON 必须是严格 JSON（双引号）。",
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"3) 你将收到工具结果：<tool_result tool=\"tool_name\">{...JSON...}</tool_result>，再继续。",
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"",
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"工具列表（允许集）：",
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...toolLines,
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"",
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"如何选择工具（建议）：",
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...guideLines,
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"",
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"行为要求（硬性）：",
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...hardRules,
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].join("\n");
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};
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export const runAiAgent = async (args: RunAiAgentArgs): Promise<{ ok: true; text: string; steps: number } | { ok: false; error: string }> => {
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const maxSteps = Math.max(1, Math.min(24, Math.floor(args.maxSteps ?? DEFAULT_MAX_STEPS)));
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const allowedToolIds = args.allowedToolIds;
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const allowedToolNames = new Set<string>(Array.from(allowedToolIds));
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const messages: OpenAiCompatibleChatMessage[] = [
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{ role: "system", content: buildSystemPrompt(allowedToolIds, args.systemContextText) },
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...args.userMessages.map((m) => ({ role: m.role, content: m.content })),
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];
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const emit = (type: string, data: unknown) => args.onEvent?.({ type, data });
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const stepId = (step: number) => `step_${step}_${Math.random().toString(16).slice(2, 10)}`;
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let steps = 0;
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let usedAnyTool = false;
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const latestUserQuestion =
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[...args.userMessages]
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.reverse()
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.find((m) => m.role === "user")
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?.content?.trim() ?? "";
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const shouldForceSearchWeb = (question: string) => {
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const q = String(question || "").trim();
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if (!q) return false;
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// v1：非常粗粒度的启发式，避免“问价格/最新信息”却不检索
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return /价格|多少钱|价位|收费|pricing|price|token|tokens|最新版|最新|更新|版本|费率/i.test(q);
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};
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const looksLikeHasSources = (text: string) => {
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const s = String(text || "");
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const urls = s.match(/https?:\/\/\S+/g) ?? [];
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return urls.length >= 2;
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};
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const shouldForceMindmapExpand = (question: string) => {
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const q = String(question || "").trim();
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if (!q) return false;
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// v1：仅在明确“要改导图”的意图时才兜底触发写工具，避免误操作
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const wantsMindmap = /导图|思维导图|节点|子节点/i.test(q);
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const wantsWrite = /写入|保存|落盘|应用|修改|更新|补完|扩展|完善|新增|添加/i.test(q);
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return wantsMindmap && wantsWrite;
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};
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for (; steps < maxSteps; steps += 1) {
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const { text } = await openAiCompatibleChat(messages, args.cfg);
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const parsed = parseToolTagCalls(text, allowedToolNames);
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if (parsed.calls.length === 0) {
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const finalText = String(text ?? "").trim();
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// 若模型没调用工具且看起来也没给足来源，而问题又强依赖“最新/可追溯”，则自动补一次检索再让模型回答
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if (!usedAnyTool && allowedToolIds.has("search_web") && shouldForceSearchWeb(latestUserQuestion) && !looksLikeHasSources(finalText)) {
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const id = stepId(steps + 1);
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const tool = "search_web";
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const toolArgs = { query: latestUserQuestion, count: 6 };
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emit("tool_call", { id, tool, args: toolArgs });
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const t0 = nowMs();
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try {
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const result = await args.runTool(tool, toolArgs);
|
|||
|
|
const ms = nowMs() - t0;
|
|||
|
|
usedAnyTool = true;
|
|||
|
|
emit("tool_result", { id, tool, ok: true, ms, result });
|
|||
|
|
messages.push({ role: "assistant", content: `<${tool}>${JSON.stringify(toolArgs)}</${tool}>` });
|
|||
|
|
messages.push({ role: "user", content: formatToolResultTag(tool, JSON.stringify(result)) });
|
|||
|
|
continue;
|
|||
|
|
} catch (e) {
|
|||
|
|
const ms = nowMs() - t0;
|
|||
|
|
const msg = e instanceof Error ? e.message : String(e);
|
|||
|
|
usedAnyTool = true;
|
|||
|
|
emit("tool_result", { id, tool, ok: false, ms, result: { error: msg } });
|
|||
|
|
messages.push({ role: "user", content: formatToolResultTag(tool, JSON.stringify({ error: msg })) });
|
|||
|
|
continue;
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
// 若用户明确要“补完/写入思维导图”，但模型没触发工具，则兜底执行一次 mindmap_expand_node
|
|||
|
|
if (
|
|||
|
|
!usedAnyTool &&
|
|||
|
|
allowedToolIds.has("mindmap_expand_node") &&
|
|||
|
|
args.defaultMindmapTargetUid &&
|
|||
|
|
shouldForceMindmapExpand(latestUserQuestion)
|
|||
|
|
) {
|
|||
|
|
const id = stepId(steps + 1);
|
|||
|
|
const tool = "mindmap_expand_node";
|
|||
|
|
const toolArgs = { targetUid: args.defaultMindmapTargetUid, instruction: latestUserQuestion };
|
|||
|
|
emit("tool_call", { id, tool, args: toolArgs });
|
|||
|
|
const t0 = nowMs();
|
|||
|
|
try {
|
|||
|
|
const result = await args.runTool(tool, toolArgs);
|
|||
|
|
const ms = nowMs() - t0;
|
|||
|
|
usedAnyTool = true;
|
|||
|
|
emit("tool_result", { id, tool, ok: true, ms, result });
|
|||
|
|
messages.push({ role: "assistant", content: `<${tool}>${JSON.stringify(toolArgs)}</${tool}>` });
|
|||
|
|
messages.push({ role: "user", content: formatToolResultTag(tool, JSON.stringify(result)) });
|
|||
|
|
continue;
|
|||
|
|
} catch (e) {
|
|||
|
|
const ms = nowMs() - t0;
|
|||
|
|
const msg = e instanceof Error ? e.message : String(e);
|
|||
|
|
usedAnyTool = true;
|
|||
|
|
emit("tool_result", { id, tool, ok: false, ms, result: { error: msg } });
|
|||
|
|
messages.push({ role: "user", content: formatToolResultTag(tool, JSON.stringify({ error: msg })) });
|
|||
|
|
continue;
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
emit("assistant_message", { text: finalText });
|
|||
|
|
return { ok: true, text: finalText, steps: steps + 1 };
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
// v1：一次只允许执行第一个工具调用，避免模型一口气输出多次工具导致不可控
|
|||
|
|
const call = parsed.calls[0];
|
|||
|
|
const tool = call.name;
|
|||
|
|
if (!allowedToolIds.has(tool)) {
|
|||
|
|
return { ok: false, error: `工具未被允许：${tool}` };
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
const toolArgs = safeParseJsonObject(call.rawInput) ?? {};
|
|||
|
|
const id = stepId(steps + 1);
|
|||
|
|
emit("tool_call", { id, tool, args: toolArgs });
|
|||
|
|
|
|||
|
|
const t0 = nowMs();
|
|||
|
|
try {
|
|||
|
|
const result = await args.runTool(tool, toolArgs);
|
|||
|
|
const ms = nowMs() - t0;
|
|||
|
|
usedAnyTool = true;
|
|||
|
|
emit("tool_result", { id, tool, ok: true, ms, result });
|
|||
|
|
|
|||
|
|
messages.push({ role: "assistant", content: `<${tool}>${JSON.stringify(toolArgs)}</${tool}>` });
|
|||
|
|
messages.push({ role: "user", content: formatToolResultTag(tool, JSON.stringify(result)) });
|
|||
|
|
} catch (e) {
|
|||
|
|
const ms = nowMs() - t0;
|
|||
|
|
const msg = e instanceof Error ? e.message : String(e);
|
|||
|
|
usedAnyTool = true;
|
|||
|
|
emit("tool_result", { id, tool, ok: false, ms, result: { error: msg } });
|
|||
|
|
messages.push({ role: "user", content: formatToolResultTag(tool, JSON.stringify({ error: msg })) });
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
return { ok: false, error: `已达到最大步数（${maxSteps}）` };
|
|||
|
|
};
|