fix: 修复TypeScript配置错误并更新项目文档

详细说明:
- 修复了@n8n/config包的TypeScript配置错误
- 移除了不存在的jest-expect-message类型引用
- 清理了所有TypeScript构建缓存
- 更新了可行性分析文档，添加了技术实施方案
- 更新了Agent prompt文档
- 添加了会展策划工作流文档
- 包含了n8n-chinese-translation子项目
- 添加了exhibition-demo展示系统框架

n8n-n8n-1.109.2/packages/@n8n/ai-workflow-builder.ee/src/workflow-state 2.ts

@@ -0,0 +1,89 @@
+import type { BaseMessage } from '@langchain/core/messages';
+import { HumanMessage } from '@langchain/core/messages';
+import { Annotation, messagesStateReducer } from '@langchain/langgraph';
+
+import type { SimpleWorkflow, WorkflowOperation } from './types/workflow';
+import type { ChatPayload } from './workflow-builder-agent';
+
+/**
+ * Reducer for collecting workflow operations from parallel tool executions.
+ * This reducer intelligently merges operations, avoiding duplicates and handling special cases.
+ */
+function operationsReducer(
+	current: WorkflowOperation[] | null,
+	update: WorkflowOperation[] | null | undefined,
+): WorkflowOperation[] {
+	if (update === null) {
+		return [];
+	}
+
+	if (!update || update.length === 0) {
+		return current ?? [];
+	}
+
+	// For clear operations, we can reset everything
+	if (update.some((op) => op.type === 'clear')) {
+		return update.filter((op) => op.type === 'clear').slice(-1); // Keep only the last clear
+	}
+
+	if (!current && !update) {
+		return [];
+	}
+	// Otherwise, append new operations
+	return [...(current ?? []), ...update];
+}
+
+// Creates a reducer that trims the message history to keep only the last `maxUserMessages` HumanMessage instances
+export function createTrimMessagesReducer(maxUserMessages: number) {
+	return (current: BaseMessage[]): BaseMessage[] => {
+		// Count HumanMessage instances and remember their indices
+		const humanMessageIndices: number[] = [];
+		current.forEach((msg, index) => {
+			if (msg instanceof HumanMessage) {
+				humanMessageIndices.push(index);
+			}
+		});
+
+		// If we have fewer than or equal to maxUserMessages, return as is
+		if (humanMessageIndices.length <= maxUserMessages) {
+			return current;
+		}
+
+		// Find the index of the first HumanMessage that we want to keep
+		const startHumanMessageIndex =
+			humanMessageIndices[humanMessageIndices.length - maxUserMessages];
+
+		// Slice from that HumanMessage onwards
+		return current.slice(startHumanMessageIndex);
+	};
+}
+
+export const WorkflowState = Annotation.Root({
+	messages: Annotation<BaseMessage[]>({
+		reducer: messagesStateReducer,
+		default: () => [],
+	}),
+	// // The original prompt from the user.
+	// The JSON representation of the workflow being built.
+	// Now a simple field without custom reducer - all updates go through operations
+	workflowJSON: Annotation<SimpleWorkflow>({
+		reducer: (x, y) => y ?? x,
+		default: () => ({ nodes: [], connections: {}, name: '' }),
+	}),
+	// Operations to apply to the workflow - processed by a separate node
+	workflowOperations: Annotation<WorkflowOperation[] | null>({
+		reducer: operationsReducer,
+		default: () => [],
+	}),
+	// Whether the user prompt is a workflow prompt.
+	// Latest workflow context
+	workflowContext: Annotation<ChatPayload['workflowContext'] | undefined>({
+		reducer: (x, y) => y ?? x,
+	}),
+
+	// Previous conversation summary (used for compressing long conversations)
+	previousSummary: Annotation<string>({
+		reducer: (x, y) => y ?? x, // Overwrite with the latest summary
+		default: () => 'EMPTY',
+	}),
+});