From 66458e97fb293aba175e363f83804eb0d72f3e52 Mon Sep 17 00:00:00 2001 From: Your Name Date: Thu, 5 Feb 2026 21:23:44 +0800 Subject: [PATCH] =?UTF-8?q?=E5=BC=95=E5=85=A5LangGraph=E8=87=AA=E5=8A=A8?= =?UTF-8?q?=E6=A8=A1=E5=BC=8F=E6=B5=81=E7=A8=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- app/(chat)/api/chat/route.ts | 62 +++---- lib/ai/auto-agent-graph.ts | 141 +++++++++++++++ package.json | 2 + pnpm-lock.yaml | 337 ++++++++++++++++++++++++++++++++++- 4 files changed, 501 insertions(+), 41 deletions(-) create mode 100644 lib/ai/auto-agent-graph.ts diff --git a/app/(chat)/api/chat/route.ts b/app/(chat)/api/chat/route.ts index b58e12e..737b5f8 100644 --- a/app/(chat)/api/chat/route.ts +++ b/app/(chat)/api/chat/route.ts @@ -461,61 +461,43 @@ export async function POST(request: Request) { } console.log("[Smart Auto Mode] History context:", historyMessages.length, "messages"); - // 2. 调用智能分析器（传入历史对话上下文） - const { analyzeIntent } = await import("@/lib/ai/smart-analyzer"); - const analysisResult = await analyzeIntent({ + // 2. 使用 LangGraph 驱动的自动模式工作流 + const { runAutoAgentGraph } = await import("@/lib/ai/auto-agent-graph"); + const autoGraphResult = await runAutoAgentGraph({ text: textContent, hasImage, imageUrls, - imageFromHistory: smartAutoHistoryImages.length > 0, // 🆕 标识图片是否来自历史 - historyMessages, // 🆕 传入历史对话用于上下文理解 + imageFromHistory: smartAutoHistoryImages.length > 0, + historyMessages, context: autoContextText || undefined, }); - console.log("[Smart Auto Mode] Analysis result:", { - intent: analysisResult.intent, - subIntent: analysisResult.subIntent, - confidence: analysisResult.confidence, - needsClarification: analysisResult.needsClarification, - }); + if (autoGraphResult.analysis) { + console.log("[Smart Auto Mode] Analysis result:", { + intent: autoGraphResult.analysis.intent, + subIntent: autoGraphResult.analysis.subIntent, + confidence: autoGraphResult.analysis.confidence, + needsClarification: autoGraphResult.analysis.needsClarification, + }); + } - // 🆕 保存AI的自然对话回复（来自千问3 VL的理解） - if (analysisResult.conversationalReply) { - smartAutoFriendlyMessage = analysisResult.conversationalReply; + if (autoGraphResult.friendlyMessage) { + smartAutoFriendlyMessage = autoGraphResult.friendlyMessage; console.log("[Smart Auto Mode] 💬 Conversational reply:", smartAutoFriendlyMessage); } - // 3. 如果是图片编辑类意图，使用 LLM 深度优化提示词 - if (analysisResult.intent === "image_edit" && analysisResult.subIntent) { - const { optimizePromptWithLLM } = await import("@/lib/ai/prompt-optimizer"); - const optimizedResult = await optimizePromptWithLLM({ - originalPrompt: textContent, - intent: analysisResult.intent, - subIntent: analysisResult.subIntent, - historyMessages, // 🆕 传入历史对话上下文 - context: autoContextText || undefined, - }); - + if (autoGraphResult.optimizedPrompt) { + smartAutoOptimizedPrompt = autoGraphResult.optimizedPrompt; console.log("[Smart Auto Mode] ✨ Prompt optimized (LLM):", { original: textContent.substring(0, 50), - optimized: optimizedResult.optimizedPrompt.substring(0, 100), + optimized: autoGraphResult.optimizedPrompt.substring(0, 100), }); - - // 🆕 保存优化后的提示词，但不修改用户消息 - // 用户消息保持原样显示，优化后的提示词只用于API调用 - smartAutoOptimizedPrompt = optimizedResult.optimizedPrompt; } - // 4. 路由到最佳模型 - const { routeToModel } = await import("@/lib/ai/model-router"); - const routeResult = await routeToModel({ - intent: analysisResult.intent, - subIntent: analysisResult.subIntent, - hasImage, - }); - - finalModelId = routeResult.id; - console.log(`[Smart Auto Mode] ✅ Routed to: ${routeResult.displayName} (${routeResult.reason})`); + if (autoGraphResult.route) { + finalModelId = autoGraphResult.route.id; + console.log(`[Smart Auto Mode] ✅ Routed to: ${autoGraphResult.route.displayName} (${autoGraphResult.route.reason})`); + } } catch (autoError) { // 智能分析失败时，回退到简单逻辑 diff --git a/lib/ai/auto-agent-graph.ts b/lib/ai/auto-agent-graph.ts new file mode 100644 index 0000000..97656ca --- /dev/null +++ b/lib/ai/auto-agent-graph.ts @@ -0,0 +1,141 @@ +import { Annotation, StateGraph, START, END } from "@langchain/langgraph"; +import type { AnalysisResult } from "@/lib/ai/smart-analyzer"; +import type { RouteResult } from "@/lib/ai/model-router"; + +interface HistoryMessage { + role: "user" | "assistant"; + content: string; +} + +export interface AutoAgentInput { + text: string; + hasImage: boolean; + imageUrls?: string[]; + imageFromHistory?: boolean; + historyMessages?: HistoryMessage[]; + context?: string; +} + +export interface AutoAgentResult { + analysis?: AnalysisResult; + friendlyMessage?: string; + optimizedPrompt?: string; + route?: RouteResult; +} + +const AutoAgentState = Annotation.Root({ + text: Annotation, + hasImage: Annotation, + imageUrls: Annotation, + imageFromHistory: Annotation, + historyMessages: Annotation, + context: Annotation, + analysis: Annotation, + friendlyMessage: Annotation, + optimizedPrompt: Annotation, + route: Annotation, +}); + +type AutoAgentStateType = typeof AutoAgentState.State; + +const analyzeNode = async (state: AutoAgentStateType) => { + const { analyzeIntent } = await import("./smart-analyzer"); + const analysis = await analyzeIntent({ + text: state.text, + hasImage: state.hasImage, + imageUrls: state.imageUrls, + imageFromHistory: state.imageFromHistory, + historyMessages: state.historyMessages, + context: state.context ?? undefined, + }); + + const fallbackQuestion = analysis.needsClarification + ? analysis.clarifyingQuestions?.[0] + : undefined; + + return { + analysis, + friendlyMessage: analysis.conversationalReply || fallbackQuestion || null, + }; +}; + +const shouldOptimize = (state: AutoAgentStateType) => { + if (!state.analysis) return "route"; + if (state.analysis.needsClarification) return "route"; + if (state.analysis.intent === "image_edit" && state.analysis.subIntent) { + return "optimize"; + } + return "route"; +}; + +const optimizeNode = async (state: AutoAgentStateType) => { + if (!state.analysis || state.analysis.intent !== "image_edit" || !state.analysis.subIntent) { + return {}; + } + const { optimizePromptWithLLM } = await import("./prompt-optimizer"); + const optimized = await optimizePromptWithLLM({ + originalPrompt: state.text, + intent: state.analysis.intent, + subIntent: state.analysis.subIntent, + historyMessages: state.historyMessages, + context: state.context ?? undefined, + }); + return { optimizedPrompt: optimized.optimizedPrompt }; +}; + +const routeNode = async (state: AutoAgentStateType) => { + const { routeToModel } = await import("./model-router"); + const route = await routeToModel({ + intent: state.analysis?.intent || "chat", + subIntent: state.analysis?.subIntent, + hasImage: state.hasImage, + }); + return { route }; +}; + +let compiledGraph: ReturnType | null = null; + +function buildGraph() { + return new StateGraph(AutoAgentState) + .addNode("analyze", analyzeNode) + .addNode("optimize", optimizeNode) + .addNode("route", routeNode) + .addEdge(START, "analyze") + .addConditionalEdges("analyze", shouldOptimize, { + optimize: "optimize", + route: "route", + }) + .addEdge("optimize", "route") + .addEdge("route", END) + .compile(); +} + +function getGraph() { + if (!compiledGraph) { + compiledGraph = buildGraph(); + } + return compiledGraph; +} + +export async function runAutoAgentGraph(params: AutoAgentInput): Promise { + const graph = getGraph(); + const result = await graph.invoke({ + text: params.text, + hasImage: params.hasImage, + imageUrls: params.imageUrls ?? [], + imageFromHistory: params.imageFromHistory ?? false, + historyMessages: params.historyMessages ?? [], + context: params.context ?? null, + analysis: null, + friendlyMessage: null, + optimizedPrompt: null, + route: null, + }); + + return { + analysis: result.analysis ?? undefined, + friendlyMessage: result.friendlyMessage ?? undefined, + optimizedPrompt: result.optimizedPrompt ?? undefined, + route: result.route ?? undefined, + }; +} diff --git a/package.json b/package.json index 165ce6a..1de2ea7 100644 --- a/package.json +++ b/package.json @@ -32,6 +32,8 @@ "@codemirror/view": "^6.35.3", "@fal-ai/serverless-client": "^0.15.0", "@icons-pack/react-simple-icons": "^13.7.0", + "@langchain/core": "^1.1.19", + "@langchain/langgraph": "^1.1.3", "@opentelemetry/api": "^1.9.0", "@opentelemetry/api-logs": "^0.200.0", "@radix-ui/react-dialog": "^1.1.4", diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index c9ace5a..9023234 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -50,6 +50,12 @@ importers: '@icons-pack/react-simple-icons': specifier: ^13.7.0 version: 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