From bfb92a94bfad12db62ff495d02004c1c8b7dd016 Mon Sep 17 00:00:00 2001 From: Hao19911125 <99091644+Hao19911125@users.noreply.github.com> Date: Sat, 4 Apr 2026 22:26:08 +0800 Subject: [PATCH] Simplify message trace panels --- panel.js | 184 ++++++++++++++++--------------------------------------- 1 file changed, 54 insertions(+), 130 deletions(-) diff --git a/panel.js b/panel.js index 5c3ea8c..de40131 100644 --- a/panel.js +++ b/panel.js @@ -2720,10 +2720,6 @@ function _renderMessageTraceWorkspace(state) { return `
-
- 这里看的是最近一轮真实运行留下的痕迹，不是静态配置推演。你关心的两个问题会直接拆开： - “最后注入给主 AI 的记忆文本” 和 “最后送去提取模型的实际请求”。 -
${_escHtml(_formatTaskProfileTime(updatedAt))}
@@ -2747,10 +2743,11 @@ function _renderMessageTraceRecallCard(state) { : []; const triggeredUserMessage = _extractTriggeredUserMessageFromRecentMessages(recentMessages) || - _findMarkdownSectionContent( - _getLastDebugMessageContent(recallLlmRequest?.messages, "user"), - ["用户最新输入"], - ); + _getLastDebugMessageContent(recallLlmRequest?.messages, "user"); + const hostPayloadText = _buildMainAiTraceText( + triggeredUserMessage, + injectionSnapshot?.injectionText || "", + ); if (!injectionSnapshot) { return ` @@ -2765,50 +2762,24 @@ function _renderMessageTraceRecallCard(state) {
最后注入给主 AI 的内容
-
- 这里展示的不是候选记忆，而是这一轮真正拼进主模型上下文的记忆文本。 -
${_escHtml(_formatTaskProfileTime(injectionSnapshot.updatedAt))}
-
-
- 触发来源 - ${_escHtml(injectionSnapshot.sourceLabel || injectionSnapshot.source || "—")} -
-
- 触发钩子 - ${_escHtml(injectionSnapshot.hookName || "—")} -
-
- 触发用户输入 - ${_escHtml(triggeredUserMessage || "—")} -
-
- 选中记忆数 - ${_escHtml(String(injectionSnapshot.selectedNodeIds?.length ?? 0))} -
-
${_renderMessageTraceTextBlock( - "最终注入文本", - injectionSnapshot.injectionText || "", - "这次没有生成可注入的记忆文本。", + "发送给主 AI 的内容", + hostPayloadText, + "这次没有捕获到主 AI 侧的注入内容。", )} - ${_renderDebugDetails( - "召回参考上下文", - recentMessages.length ? recentMessages.join("\n") : "", - )} - ${_renderDebugDetails( - "召回精排实际消息序列", - _stringifyTraceMessages(recallLlmRequest?.messages), - )} - ${_renderDebugDetails("原始注入快照", injectionSnapshot)} `; } function _renderMessageTraceExtractCard(state) { const extractLlmRequest = state.extractLlmRequest || null; const extractPromptBuild = state.extractPromptBuild || null; + const extractPayloadText = _buildTraceMessagePayloadText( + extractLlmRequest?.messages, + extractPromptBuild, + ); if (!extractLlmRequest && !extractPromptBuild) { return ` @@ -2819,56 +2790,20 @@ function _renderMessageTraceExtractCard(state) { `; } - const systemPrompt = - _getLastDebugMessageContent(extractLlmRequest?.messages, "system") || - extractPromptBuild?.systemPrompt || - ""; - const userPrompt = _getLastDebugMessageContent(extractLlmRequest?.messages, "user"); - const dialogueText = - _findMarkdownSectionContent(userPrompt, ["当前对话内容"]) || userPrompt; - return `
最后送去提取模型的内容
-
- 这里看的是自动提取真正下发给记忆模型的请求，不只是任务预设模板。 -
${_escHtml( _formatTaskProfileTime(extractLlmRequest?.updatedAt || extractPromptBuild?.updatedAt), )}
-
-
- 预设 - ${_escHtml(extractPromptBuild?.profileName || extractPromptBuild?.profileId || "—")} -
-
- 模型路由 - ${_escHtml(extractLlmRequest?.effectiveRoute?.llm || extractLlmRequest?.route || "—")} -
-
- 模型 - ${_escHtml(extractLlmRequest?.model || "—")} -
-
- 消息条数 - ${_escHtml(String(_normalizeDebugMessages(extractLlmRequest?.messages).length))} -
-
${_renderMessageTraceTextBlock( - "送去提取的对话正文", - dialogueText, - "这次没有捕获到提取用户提示词。", + "发送去提取模型的内容", + extractPayloadText, + "这次没有捕获到提取请求内容。", )} - ${_renderDebugDetails("提取系统提示词（兼容视图）", systemPrompt)} - ${_renderDebugDetails("提取用户提示词（完整）", userPrompt)} - ${_renderDebugDetails( - "提取实际消息序列", - _stringifyTraceMessages(extractLlmRequest?.messages), - )} - ${_renderDebugDetails("提取 Prompt 组装快照", extractPromptBuild)} `; } @@ -2916,11 +2851,49 @@ function _stringifyTraceMessages(messages = []) { return normalizedMessages .map( - (message, index) => `[${index + 1}] ${message.role}\n${message.content}`, + (message) => `【${message.role}】\n${message.content}`, ) .join("\n\n---\n\n"); } +function _buildMainAiTraceText(triggeredUserMessage = "", injectionText = "") { + const sections = []; + const normalizedUserMessage = String(triggeredUserMessage || "").trim(); + const normalizedInjectionText = String(injectionText || "").trim(); + + if (normalizedUserMessage) { + sections.push(`【user】\n${normalizedUserMessage}`); + } + if (normalizedInjectionText) { + sections.push(`【memory injection】\n${normalizedInjectionText}`); + } + + return sections.join("\n\n---\n\n").trim(); +} + +function _buildTraceMessagePayloadText(messages = [], promptBuild = null) { + const normalizedMessages = _normalizeDebugMessages(messages); + if (normalizedMessages.length) { + return _stringifyTraceMessages(normalizedMessages); + } + + const fallbackMessages = []; + const fallbackSystemPrompt = String(promptBuild?.systemPrompt || "").trim(); + if (fallbackSystemPrompt) { + fallbackMessages.push({ role: "system", content: fallbackSystemPrompt }); + } + + for (const message of promptBuild?.privateTaskMessages || []) { + if (!message || typeof message !== "object") continue; + const role = String(message.role || "").trim().toLowerCase(); + const content = String(message.content || "").trim(); + if (!role || !content) continue; + fallbackMessages.push({ role, content }); + } + + return _stringifyTraceMessages(fallbackMessages); +} + function _extractTriggeredUserMessageFromRecentMessages(recentMessages = []) { if (!Array.isArray(recentMessages)) return ""; @@ -2934,55 +2907,6 @@ function _extractTriggeredUserMessageFromRecentMessages(recentMessages = []) { return ""; } -function _extractMarkdownSections(text = "") { - const normalized = String(text || ""); - if (!normalized.trim()) return []; - - const headingRegex = /^#{1,6}\s*(.+?)\s*$/gm; - const sections = []; - let currentTitle = ""; - let bodyStart = 0; - let match = headingRegex.exec(normalized); - - while (match) { - if (currentTitle) { - sections.push({ - title: currentTitle, - content: normalized.slice(bodyStart, match.index).trim(), - }); - } - currentTitle = String(match[1] || "").trim(); - bodyStart = headingRegex.lastIndex; - match = headingRegex.exec(normalized); - } - - if (currentTitle) { - sections.push({ - title: currentTitle, - content: normalized.slice(bodyStart).trim(), - }); - } - - return sections; -} - -function _findMarkdownSectionContent(text = "", titleHints = []) { - const hints = Array.isArray(titleHints) - ? titleHints.map((item) => String(item || "").trim()).filter(Boolean) - : []; - if (!hints.length) return ""; - - const sections = _extractMarkdownSections(text); - for (const section of sections) { - const title = String(section?.title || ""); - if (hints.some((hint) => title.includes(hint))) { - return String(section?.content || "").trim(); - } - } - - return ""; -} - function _patchTaskProfiles(taskProfiles, extraPatch = {}, options = {}) { return _patchSettings( {