fc5fbb1034
Tab Isolation: - Canvas visibility now uses activeTab.showCanvas directly (not local state) - Chat panel width also uses tab state for proper isolation - New tabs explicitly have showCanvas: false, previewData: null Change Log Fix: - Updated all AI prompts to emphasize change log OUTSIDE [/PREVIEW] - Added example format showing change log after closing tag - Change log now appears in chat stream, not rendered in canvas
936 lines
34 KiB
TypeScript
936 lines
34 KiB
TypeScript
import type { ChatMessage, APIResponse, AIAssistMessage } from "@/types";
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export interface ZaiPlanConfig {
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apiKey?: string;
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generalEndpoint?: string;
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codingEndpoint?: string;
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}
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export class ZaiPlanService {
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private config: ZaiPlanConfig;
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constructor(config: ZaiPlanConfig = {}) {
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this.config = {
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generalEndpoint: config.generalEndpoint || "https://api.z.ai/api/paas/v4",
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codingEndpoint: config.codingEndpoint || "https://api.z.ai/api/coding/paas/v4",
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apiKey: config.apiKey || process.env.ZAI_API_KEY,
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};
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}
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hasAuth(): boolean {
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return !!this.config.apiKey;
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}
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private getHeaders(): Record<string, string> {
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return {
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"Content-Type": "application/json",
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"Authorization": `Bearer ${this.config.apiKey}`,
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"Accept-Language": "en-US,en",
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};
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}
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async chatCompletion(
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messages: ChatMessage[],
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model: string = "glm-4.7",
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useCodingEndpoint: boolean = false
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): Promise<APIResponse<string>> {
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try {
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if (!this.config.apiKey) {
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throw new Error("API key is required. Please configure your Z.AI API key in settings.");
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}
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const endpoint = useCodingEndpoint ? this.config.codingEndpoint : this.config.generalEndpoint;
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console.log("[Z.AI] API call:", { endpoint, model, messages });
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const response = await fetch(`${endpoint}/chat/completions`, {
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method: "POST",
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headers: this.getHeaders(),
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body: JSON.stringify({
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model,
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messages,
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stream: false,
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}),
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});
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console.log("[Z.AI] Response status:", response.status, response.statusText);
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if (!response.ok) {
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const errorText = await response.text();
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console.error("[Z.AI] Error response:", errorText);
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throw new Error(`Chat completion failed (${response.status}): ${response.statusText} - ${errorText}`);
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}
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const data = await response.json();
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console.log("[Z.AI] Response data:", data);
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if (data.choices && data.choices[0] && data.choices[0].message) {
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return { success: true, data: data.choices[0].message.content };
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} else if (data.output && data.output.choices && data.output.choices[0]) {
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return { success: true, data: data.output.choices[0].message.content };
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} else {
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return { success: false, error: "Unexpected response format" };
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}
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} catch (error) {
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console.error("[Z.AI] Chat completion error:", error);
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return {
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success: false,
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error: error instanceof Error ? error.message : "Chat completion failed",
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};
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}
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}
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async enhancePrompt(prompt: string, model?: string): Promise<APIResponse<string>> {
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const systemMessage: ChatMessage = {
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role: "system",
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content: `You are an expert prompt engineer. Your task is to enhance user prompts to make them more precise, actionable, and effective for AI coding agents.
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Apply these principles:
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1. Add specific context about project and requirements
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2. Clarify constraints and preferences
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3. Define expected output format clearly
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4. Include edge cases and error handling requirements
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5. Specify testing and validation criteria
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Return ONLY the enhanced prompt, no explanations or extra text.`,
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};
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const userMessage: ChatMessage = {
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role: "user",
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content: `Enhance this prompt for an AI coding agent:\n\n${prompt}`,
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};
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return this.chatCompletion([systemMessage, userMessage], model || "glm-4.7", true);
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}
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async generatePRD(idea: string, model?: string): Promise<APIResponse<string>> {
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const systemMessage: ChatMessage = {
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role: "system",
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content: `You are an expert product manager and technical architect. Generate a comprehensive Product Requirements Document (PRD) based on user's idea.
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Structure your PRD with these sections:
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1. Overview & Objectives
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2. User Personas & Use Cases
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3. Functional Requirements (prioritized by importance)
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4. Non-functional Requirements
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5. Technical Architecture Recommendations
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6. Success Metrics & KPIs
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Use clear, specific language suitable for development teams.`,
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};
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const userMessage: ChatMessage = {
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role: "user",
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content: `Generate a PRD for this idea:\n\n${idea}`,
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};
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return this.chatCompletion([systemMessage, userMessage], model || "glm-4.7");
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}
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async generateActionPlan(prd: string, model?: string): Promise<APIResponse<string>> {
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const systemMessage: ChatMessage = {
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role: "system",
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content: `You are an expert technical lead and project manager. Generate a detailed action plan based on the PRD.
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Structure of action plan with:
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1. Task breakdown with priorities (High/Medium/Low)
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2. Dependencies between tasks
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3. Estimated effort for each task
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4. Recommended frameworks and technologies
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5. Architecture guidelines and best practices
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Include specific recommendations for:
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- Frontend frameworks
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- Backend architecture
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- Database choices
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- Authentication/authorization
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- Deployment strategy`,
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};
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const userMessage: ChatMessage = {
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role: "user",
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content: `Generate an action plan based on this PRD:\n\n${prd}`,
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};
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return this.chatCompletion([systemMessage, userMessage], model || "glm-4.7", true);
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}
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async listModels(): Promise<APIResponse<string[]>> {
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try {
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if (this.config.apiKey) {
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const response = await fetch(`${this.config.generalEndpoint}/models`, {
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headers: this.getHeaders(),
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});
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if (!response.ok) {
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throw new Error(`Failed to list models: ${response.statusText}`);
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}
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const data = await response.json();
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const models = data.data?.map((m: any) => m.id) || [];
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return { success: true, data: models };
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} else {
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console.log("[Z.AI] No API key, using fallback models");
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return { success: true, data: ["glm-4.7", "glm-4.6", "glm-4.5", "glm-4.5-air", "glm-4-flash", "glm-4-flashx"] };
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}
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} catch (error) {
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console.error("[Z.AI] listModels error:", error);
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return {
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success: false,
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error: error instanceof Error ? error.message : "Failed to list models",
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};
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}
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}
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getAvailableModels(): string[] {
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return ["glm-4.7", "glm-4.6", "glm-4.5", "glm-4.5-air", "glm-4-flash", "glm-4-flashx"];
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}
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async generateUXDesignerPrompt(appDescription: string, model?: string): Promise<APIResponse<string>> {
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const systemMessage: ChatMessage = {
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role: "system",
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content: `You are a world-class UX/UI designer with deep expertise in human-centered design principles, user research, interaction design, visual design systems, and modern design tools (Figma, Sketch, Adobe XD).
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Your task is to create an exceptional, detailed prompt for generating the best possible UX design for a given app description.
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Generate a comprehensive UX design prompt that includes:
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1. USER RESEARCH & PERSONAS
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- Primary target users and their motivations
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- User pain points and needs
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- User journey maps
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- Persona archetypes with demographics and goals
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2. INFORMATION ARCHITECTURE
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- Content hierarchy and organization
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- Navigation structure and patterns
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- User flows and key pathways
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- Site map or app structure
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3. VISUAL DESIGN SYSTEM
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- Color palette recommendations (primary, secondary, accent, neutral)
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- Typography hierarchy and font pairings
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- Component library approach
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- Spacing, sizing, and layout grids
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- Iconography style and set
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4. INTERACTION DESIGN
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- Micro-interactions and animations
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- Gesture patterns for touch interfaces
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- Loading states and empty states
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- Error handling and feedback mechanisms
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- Accessibility considerations (WCAG compliance)
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5. KEY SCREENS & COMPONENTS
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- Core screens that need detailed design
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- Critical components (buttons, forms, cards, navigation)
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- Data visualization needs
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- Responsive design requirements (mobile, tablet, desktop)
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6. DESIGN DELIVERABLES
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- Wireframes vs. high-fidelity mockups
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- Design system documentation needs
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- Prototyping requirements
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- Handoff specifications for developers
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7. COMPETITIVE INSIGHTS
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- Design patterns from successful apps in this category
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- Opportunities to differentiate
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- Modern design trends to consider
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The output should be a detailed, actionable prompt that a designer or AI image generator can use to create world-class UX designs.
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Make the prompt specific, inspiring, and comprehensive. Use professional UX terminology.`,
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};
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const userMessage: ChatMessage = {
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role: "user",
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content: `Create the BEST EVER UX design prompt for this app:\n\n${appDescription}`,
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};
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return this.chatCompletion([systemMessage, userMessage], model || "glm-4.7", true);
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}
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async generateSlides(
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topic: string,
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options: {
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language?: string;
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theme?: string;
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slideCount?: number;
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audience?: string;
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organization?: string;
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animationStyle?: string;
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audienceStyle?: string;
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themeColors?: string[];
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brandColors?: string[];
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} = {},
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model?: string
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): Promise<APIResponse<string>> {
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const {
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language = "English",
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theme = "executive-dark",
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slideCount = 10,
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audience = "Executives & C-Suite",
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organization = "",
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animationStyle = "Professional",
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audienceStyle = "Sophisticated, data-driven, strategic focus",
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themeColors = ["#09090b", "#6366f1", "#a855f7", "#fafafa"],
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brandColors = []
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} = options;
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const [bgColor, primaryColor, secondaryColor, textColor] = themeColors;
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const brandColorStr = brandColors.length > 0
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? `\nBRAND COLORS TO USE: ${brandColors.join(", ")}`
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: "";
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const systemMessage: ChatMessage = {
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role: "system",
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content: `You are a WORLD-CLASS presentation designer who creates STUNNING, AWARD-WINNING slide decks that rival McKinsey, Apple, and TED presentations.
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Your slides must be VISUALLY SPECTACULAR with:
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- Modern CSS3 animations (fade-in, slide-in, scale, parallax effects)
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- Sophisticated gradient backgrounds with depth
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- SVG charts and data visualizations inline
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- Glassmorphism and neumorphism effects
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- Professional typography with Inter/SF Pro fonts
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- Strategic use of whitespace
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- Micro-animations on hover/focus states
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- Progress indicators and visual hierarchy
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OUTPUT FORMAT - Return ONLY valid JSON:
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\`\`\`json
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{
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"title": "Presentation Title",
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"subtitle": "Compelling Subtitle",
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"theme": "${theme}",
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"language": "${language}",
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"slides": [
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{
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"id": "slide-1",
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"title": "Slide Title",
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"content": "Plain text content summary",
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"htmlContent": "<div>FULL HTML with inline CSS and animations</div>",
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"notes": "Speaker notes",
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"layout": "title|content|two-column|chart|statistics|timeline|quote|comparison",
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"order": 1
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}
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]
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}
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\`\`\`
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DESIGN SYSTEM:
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- Primary: ${brandColors[0] || primaryColor}
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- Secondary: ${brandColors[1] || secondaryColor}
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- Background: ${bgColor}
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- Text: ${textColor}${brandColorStr}
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ANIMATION STYLE: ${animationStyle}
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- Professional: Subtle 0.3-0.5s ease transitions, fade and slide
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- Dynamic: 0.5-0.8s spring animations, emphasis effects, stagger delays
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- Impressive: Bold 0.8-1.2s animations, parallax, morphing, particle effects
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CSS ANIMATIONS TO INCLUDE:
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\`\`\`css
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@keyframes fadeInUp { from { opacity: 0; transform: translateY(30px); } to { opacity: 1; transform: translateY(0); } }
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@keyframes slideInLeft { from { opacity: 0; transform: translateX(-50px); } to { opacity: 1; transform: translateX(0); } }
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@keyframes scaleIn { from { opacity: 0; transform: scale(0.9); } to { opacity: 1; transform: scale(1); } }
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@keyframes pulse { 0%, 100% { opacity: 1; } 50% { opacity: 0.7; } }
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@keyframes float { 0%, 100% { transform: translateY(0); } 50% { transform: translateY(-10px); } }
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@keyframes gradientShift { 0% { background-position: 0% 50%; } 50% { background-position: 100% 50%; } 100% { background-position: 0% 50%; } }
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\`\`\`
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SLIDE TYPES TO CREATE:
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1. TITLE SLIDE: Hero-style with animated gradient background, large typography, subtle floating elements
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2. AGENDA/OVERVIEW: Icon grid with staggered fade-in animations
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3. DATA/CHARTS: Inline SVG bar/line/pie charts with animated drawing effects
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4. KEY METRICS: Large animated numbers with counting effect styling, KPI cards with glassmorphism
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5. TIMELINE: Horizontal/vertical timeline with sequential reveal animations
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6. COMPARISON: Side-by-side cards with hover lift effects
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7. QUOTE: Large typography with decorative quote marks, subtle background pattern
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8. CALL-TO-ACTION: Bold CTA with pulsing button effect, clear next steps
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SVG CHART EXAMPLE:
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\`\`\`html
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<svg viewBox="0 0 400 200" style="width:100%;max-width:400px;">
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<defs>
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<linearGradient id="barGrad" x1="0%" y1="0%" x2="0%" y2="100%">
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<stop offset="0%" style="stop-color:${primaryColor}"/>
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<stop offset="100%" style="stop-color:${secondaryColor}"/>
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</linearGradient>
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</defs>
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<rect x="50" y="50" width="60" height="130" fill="url(#barGrad)" rx="8" style="animation: scaleIn 0.8s ease-out 0.2s both; transform-origin: bottom;"/>
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<rect x="130" y="80" width="60" height="100" fill="url(#barGrad)" rx="8" style="animation: scaleIn 0.8s ease-out 0.4s both; transform-origin: bottom;"/>
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<rect x="210" y="30" width="60" height="150" fill="url(#barGrad)" rx="8" style="animation: scaleIn 0.8s ease-out 0.6s both; transform-origin: bottom;"/>
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</svg>
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\`\`\`
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TARGET AUDIENCE: ${audience}
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AUDIENCE STYLE: ${audienceStyle}
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${organization ? `ORGANIZATION BRANDING: ${organization}` : ""}
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REQUIREMENTS:
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- ${slideCount > 0 ? `Create EXACTLY ${slideCount} slides` : "Maintain the exact number of slides/pages from the provided source presentation/document context. If no source file is provided, generate 10 slides by default."}
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- ALL content in ${language}
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- Each slide MUST have complete htmlContent with inline <style> tags
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- Use animation-delay for staggered reveal effects
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- Include decorative background elements (gradients, shapes, patterns)
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- Ensure text contrast meets WCAG AA standards
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- Add subtle shadow/glow effects for depth
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- Include progress/slide number indicator styling`,
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};
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const userMessage: ChatMessage = {
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role: "user",
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content: `Create a STUNNING, ANIMATED presentation about:
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${topic}
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SPECIFICATIONS:
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- Language: ${language}
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- Theme: ${theme}
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- Slides: ${slideCount}
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- Audience: ${audience} (${audienceStyle})
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- Animation Style: ${animationStyle}
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${organization ? `- Organization: ${organization}` : ""}
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${brandColors.length > 0 ? `- Brand Colors: ${brandColors.join(", ")}` : ""}
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Generate SPECTACULAR slides with:
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✨ Animated CSS3 transitions and keyframes
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📊 SVG charts and data visualizations where relevant
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🎨 Modern gradients and glassmorphism effects
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💫 Staggered reveal animations
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🏢 Corporate-ready, executive-level design
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Return the complete JSON with full htmlContent for each slide. Make each slide VISUALLY IMPRESSIVE and memorable!`,
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};
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return this.chatCompletion([systemMessage, userMessage], model || "glm-4.7", true);
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}
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async generateGoogleAds(
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websiteUrl: string,
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options: {
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productsServices: string[];
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targetAudience?: string;
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budgetRange?: { min: number; max: number; currency: string };
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campaignDuration?: string;
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industry?: string;
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competitors?: string[];
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language?: string;
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specialInstructions?: string;
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} = { productsServices: [] },
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model?: string
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): Promise<APIResponse<string>> {
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const {
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productsServices = [],
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targetAudience = "General consumers",
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budgetRange,
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campaignDuration,
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industry = "General",
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competitors = [],
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language = "English",
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specialInstructions = ""
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} = options;
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const systemMessage: ChatMessage = {
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role: "system",
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content: `You are an EXPERT Google Ads strategist with 15+ years of experience managing $100M+ in ad spend. You create HIGH-CONVERTING campaigns that consistently outperform industry benchmarks.
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Your expertise includes:
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- Keyword research and competitive analysis
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- Ad copywriting that drives clicks and conversions
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- Campaign structure optimization
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- Quality Score improvement strategies
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- ROI maximization techniques
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OUTPUT FORMAT - Return ONLY valid JSON:
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\`\`\`json
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{
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"keywords": {
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"primary": [
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{
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"keyword": "exact keyword phrase",
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"type": "primary",
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"searchVolume": 12000,
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"competition": "medium",
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"difficultyScore": 65,
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"relevanceScore": 95,
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"cpc": "$2.50"
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}
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],
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"longTail": [
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{
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"keyword": "longer specific keyword phrase",
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"type": "long-tail",
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"searchVolume": 1200,
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"competition": "low",
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"difficultyScore": 35,
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"relevanceScore": 90,
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"cpc": "$1.25"
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}
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],
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"negative": [
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{
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"keyword": "irrelevant term to exclude",
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"type": "negative",
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"competition": "low"
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}
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]
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},
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"adCopies": [
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{
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"id": "ad-1",
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"campaignType": "search",
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"headlines": [
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"Headline 1 (max 30 chars)",
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"Headline 2 (max 30 chars)",
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"Headline 3 (max 30 chars)"
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],
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"descriptions": [
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"Description line 1 - compelling copy under 90 chars",
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"Description line 2 - call to action under 90 chars"
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],
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"callToAction": "Get Started Today",
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"displayUrl": "example.com/offers",
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"mobileOptimized": true
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}
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],
|
|
"campaigns": [
|
|
{
|
|
"id": "campaign-1",
|
|
"name": "Campaign Name",
|
|
"type": "search",
|
|
"budget": {
|
|
"daily": 50,
|
|
"monthly": 1500,
|
|
"currency": "USD"
|
|
},
|
|
"targeting": {
|
|
"locations": ["United States", "Canada"],
|
|
"demographics": ["25-54", "All genders"],
|
|
"devices": ["Desktop", "Mobile", "Tablet"],
|
|
"schedule": ["Mon-Fri 8am-8pm"]
|
|
},
|
|
"adGroups": [
|
|
{
|
|
"id": "adgroup-1",
|
|
"name": "Product Category Group",
|
|
"theme": "Main product focus",
|
|
"keywords": ["keyword1", "keyword2"],
|
|
"biddingStrategy": "Maximize conversions"
|
|
}
|
|
]
|
|
}
|
|
],
|
|
"implementation": {
|
|
"setupSteps": [
|
|
"Step 1: Create Google Ads account...",
|
|
"Step 2: Set up conversion tracking..."
|
|
],
|
|
"qualityScoreTips": [
|
|
"Tip 1: Match keywords to ad copy...",
|
|
"Tip 2: Optimize landing pages..."
|
|
],
|
|
"trackingSetup": [
|
|
"Install Google Tag Manager...",
|
|
"Set up conversion goals..."
|
|
],
|
|
"optimizationTips": [
|
|
"Monitor search terms weekly...",
|
|
"A/B test ad variations..."
|
|
]
|
|
},
|
|
"predictions": {
|
|
"estimatedClicks": "500-800 per month",
|
|
"estimatedImpressions": "15,000-25,000 per month",
|
|
"estimatedCtr": "3.2%-4.5%",
|
|
"estimatedConversions": "25-50 per month"
|
|
}
|
|
}
|
|
\`\`\`
|
|
|
|
KEYWORD RESEARCH REQUIREMENTS:
|
|
- Generate 10-15 PRIMARY keywords (high-volume, highly relevant)
|
|
- Generate 15-20 LONG-TAIL keywords (specific, lower-competition)
|
|
- Generate 5-10 NEGATIVE keywords (terms to exclude)
|
|
- Include realistic search volume estimates
|
|
- Provide competition level and CPC estimates
|
|
|
|
AD COPY REQUIREMENTS:
|
|
- Headlines MUST be 30 characters or less
|
|
- Descriptions MUST be 90 characters or less
|
|
- Create 3-5 unique ad variations per campaign type
|
|
- Include strong calls-to-action
|
|
- Focus on benefits and unique value propositions
|
|
- Mobile-optimized versions required
|
|
|
|
CAMPAIGN STRUCTURE:
|
|
- Organize by product/service theme
|
|
- Recommend appropriate bidding strategies
|
|
- Include targeting recommendations
|
|
- Suggest budget allocation
|
|
|
|
QUALITY STANDARDS:
|
|
- All keywords must be relevant (>85% match)
|
|
- Ad copy must comply with Google Ads policies
|
|
- No trademark violations
|
|
- Professional, compelling language
|
|
- Clear value propositions`,
|
|
};
|
|
|
|
const userMessage: ChatMessage = {
|
|
role: "user",
|
|
content: `Create a COMPREHENSIVE Google Ads campaign for:
|
|
|
|
WEBSITE: ${websiteUrl}
|
|
|
|
PRODUCTS/SERVICES TO PROMOTE:
|
|
${productsServices.map((p, i) => `${i + 1}. ${p}`).join("\n")}
|
|
|
|
TARGET AUDIENCE: ${targetAudience}
|
|
INDUSTRY: ${industry}
|
|
LANGUAGE: ${language}
|
|
${budgetRange ? `BUDGET: ${budgetRange.min}-${budgetRange.max} ${budgetRange.currency}/month` : ""}
|
|
${campaignDuration ? `DURATION: ${campaignDuration}` : ""}
|
|
${competitors.length > 0 ? `COMPETITORS: ${competitors.join(", ")}` : ""}
|
|
${specialInstructions ? `SPECIAL INSTRUCTIONS: ${specialInstructions}` : ""}
|
|
|
|
Generate a COMPLETE Google Ads package including:
|
|
🔍 Comprehensive keyword research (primary, long-tail, negative)
|
|
✍️ High-converting ad copy (multiple variations)
|
|
📊 Optimized campaign structure
|
|
📈 Performance predictions
|
|
🎯 Implementation guidance
|
|
|
|
Make this campaign READY TO LAUNCH with copy-paste ready content!`,
|
|
};
|
|
|
|
return this.chatCompletion([systemMessage, userMessage], model || "glm-4.7", true);
|
|
}
|
|
|
|
async generateMagicWand(
|
|
websiteUrl: string,
|
|
product: string,
|
|
budget: number,
|
|
specialInstructions?: string,
|
|
model?: string
|
|
): Promise<APIResponse<string>> {
|
|
const systemMessage: ChatMessage = {
|
|
role: "system",
|
|
content: `You are a WORLD-CLASS marketing strategist with 20+ years of experience in competitive intelligence, market research, and Google Ads campaign strategy. You have access to deep industry knowledge and can analyze markets like a Fortune 500 CMO.
|
|
|
|
OUTPUT FORMAT - Return ONLY valid JSON with this EXACT structure:
|
|
\`\`\`json
|
|
{
|
|
"marketAnalysis": {
|
|
"industrySize": "Estimated market size",
|
|
"growthRate": "Annual growth percentage",
|
|
"topCompetitors": ["Competitor 1", "Competitor 2", "Competitor 3"],
|
|
"marketTrends": ["Trend 1", "Trend 2", "Trend 3"]
|
|
},
|
|
"competitorInsights": [
|
|
{
|
|
"competitor": "Competitor Name",
|
|
"strengths": ["Strength 1", "Strength 2"],
|
|
"weaknesses": ["Weakness 1", "Weakness 2"],
|
|
"adStrategy": "Their current advertising approach"
|
|
}
|
|
],
|
|
"strategies": [
|
|
{
|
|
"id": "strategy-1",
|
|
"direction": "Strategic Direction Name",
|
|
"rationale": "Why this strategy works for this product/market",
|
|
"targetAudience": "Specific audience segment",
|
|
"competitiveAdvantage": "How this beats competitors",
|
|
"keyMessages": ["Message 1", "Message 2", "Message 3"],
|
|
"adCopyGuide": {
|
|
"headlines": ["Headline 1 (max 30 symbols)", "Headline 2", "Headline 3"],
|
|
"descriptions": ["Description 1 (max 90 symbols)", "Description 2"],
|
|
"keywords": ["keyword 1", "keyword 2", "keyword 3"],
|
|
"setupGuide": "Friendly step-by-step for a beginner on where exactly to paste these in Google Ads Manager"
|
|
},
|
|
"recommendedChannels": ["Google Search", "Display", "YouTube"],
|
|
"estimatedBudgetAllocation": { "search": 40, "display": 30, "video": 20, "social": 10 },
|
|
"expectedROI": "150-200%",
|
|
"riskLevel": "low",
|
|
"timeToResults": "2-3 months"
|
|
}
|
|
]
|
|
}
|
|
\`\`\`
|
|
|
|
CRITICAL REQUIREMENTS:
|
|
- Provide 5-7 DISTINCT strategic directions
|
|
- Each strategy must be ACTIONABLE and SPECIFIC
|
|
- Include REAL competitive insights based on industry knowledge
|
|
- Budget allocations must sum to 100%
|
|
- Risk levels: "low", "medium", or "high"
|
|
- AD COPY GUIDE must be incredibly "noob-friendly" - explain exactly where to paste each field in Google Ads Manager
|
|
- Headlines MUST be under 30 characters
|
|
- Descriptions MUST be under 90 characters
|
|
- Be REALISTIC with ROI and timeline estimates`,
|
|
};
|
|
|
|
const userMessage: ChatMessage = {
|
|
role: "user",
|
|
content: `🔮 MAGIC WAND ANALYSIS REQUEST 🔮
|
|
|
|
WEBSITE: ${websiteUrl}
|
|
PRODUCT/SERVICE: ${product}
|
|
MONTHLY BUDGET: $${budget}
|
|
${specialInstructions ? `SPECIAL INSTRUCTIONS: ${specialInstructions}` : ""}
|
|
|
|
MISSION: Perform a DEEP 360° competitive intelligence analysis and generate 5-7 strategic campaign directions that will DOMINATE this market.`,
|
|
};
|
|
|
|
return this.chatCompletion([systemMessage, userMessage], model || "glm-4.7", true);
|
|
}
|
|
|
|
async generateMarketResearch(
|
|
options: {
|
|
websiteUrl: string;
|
|
additionalUrls?: string[];
|
|
competitors: string[];
|
|
productMapping: string;
|
|
specialInstructions?: string;
|
|
},
|
|
model?: string
|
|
): Promise<APIResponse<string>> {
|
|
const { websiteUrl, additionalUrls = [], competitors = [], productMapping, specialInstructions = "" } = options;
|
|
|
|
const systemPrompt = `You are a WORLD-CLASS Market Research Analyst and Competitive Intelligence Expert.
|
|
Focus on accuracy and actionable intelligence.
|
|
|
|
You MUST return your analysis in the following STRICT JSON format:
|
|
{
|
|
"executiveSummary": "A concise overview of the market landscape and key findings.",
|
|
"priceComparisonMatrix": [
|
|
{
|
|
"product": "Product Name",
|
|
"userPrice": "$XX.XX",
|
|
"competitorPrices": [
|
|
{ "competitor": "Competitor Name", "price": "$XX.XX", "url": "https://competitor.com/product-page" }
|
|
]
|
|
}
|
|
],
|
|
"featureComparisonTable": [
|
|
{
|
|
"feature": "Feature Name",
|
|
"userStatus": true/false/text,
|
|
"competitorStatus": [
|
|
{ "competitor": "Competitor Name", "status": true/false/text }
|
|
]
|
|
}
|
|
],
|
|
"marketPositioning": {
|
|
"landscape": "Description of the current market state.",
|
|
"segmentation": "Analysis of target customer segments."
|
|
},
|
|
"competitiveAnalysis": {
|
|
"advantages": ["Point 1", "Point 2"],
|
|
"disadvantages": ["Point 1", "Point 2"]
|
|
},
|
|
"recommendations": ["Actionable step 1", "Actionable step 2"],
|
|
"methodology": "Brief description of the research process."
|
|
}
|
|
|
|
Requirements:
|
|
1. Base your analysis on realistic price and feature estimates.
|
|
2. Focus on core technical/business value.
|
|
3. Ensure JSON is valid.`;
|
|
|
|
const userMsg = `WEBSITE TO ANALYZE: ${options.websiteUrl}
|
|
COMPETITOR URLS: ${options.competitors.join(', ')}
|
|
PRODUCT/FEATURE MAPPING: ${options.productMapping}
|
|
SPECIAL REQUESTS: ${options.specialInstructions || 'Perform comprehensive analysis'}
|
|
|
|
Provide a COMPREHENSIVE competitive intelligence analysis.`;
|
|
|
|
const messages: ChatMessage[] = [
|
|
{ role: "system", content: systemPrompt },
|
|
{ role: "user", content: userMsg }
|
|
];
|
|
|
|
return await this.chatCompletion(messages, model || this.getAvailableModels()[0]);
|
|
}
|
|
|
|
async generateAIAssist(
|
|
options: {
|
|
messages: AIAssistMessage[];
|
|
currentAgent: string;
|
|
},
|
|
model?: string
|
|
): Promise<APIResponse<string>> {
|
|
const systemPrompt = `You are "AI Assist", the master orchestrator of PromptArch.
|
|
Your goal is to provide intelligent conversational support and switch to specialized agents when necessary.
|
|
|
|
CURRENT SPECIALIZED AGENTS:
|
|
- content, seo, smm, pm, code, design, web, app
|
|
|
|
STRICT OUTPUT FORMAT:
|
|
You MUST respond in JSON format if you want to activate a preview or switch agents.
|
|
{
|
|
"content": "Your natural language response here...",
|
|
"agent": "agent_id_to_switch_to (optional)",
|
|
"preview": { // (optional)
|
|
"type": "code" | "design" | "content" | "seo",
|
|
"data": "The actual code, layout, or content to preview",
|
|
"language": "javascript/html/css/markdown (optional)"
|
|
}
|
|
}
|
|
|
|
ROUTING LOGIC:
|
|
- Automatically detect user intent and switch agents if appropriate.
|
|
- Provide deep technical or creative output based on the active agent.
|
|
|
|
PREVIEW GUIDELINES:
|
|
- Provide full code for 'web'/'app'/'code'.
|
|
- Provide structured analysis for 'seo'/'content'.`;
|
|
|
|
const chatMessages: ChatMessage[] = [
|
|
{ role: "system", content: systemPrompt },
|
|
...options.messages.map(m => ({
|
|
role: m.role as "user" | "assistant" | "system",
|
|
content: m.content
|
|
}))
|
|
];
|
|
|
|
return await this.chatCompletion(chatMessages, model || this.getAvailableModels()[0]);
|
|
}
|
|
|
|
async generateAIAssistStream(
|
|
options: {
|
|
messages: AIAssistMessage[];
|
|
currentAgent: string;
|
|
onChunk: (chunk: string) => void;
|
|
signal?: AbortSignal;
|
|
},
|
|
model?: string
|
|
): Promise<APIResponse<void>> {
|
|
try {
|
|
if (!this.config.apiKey) {
|
|
throw new Error("API key is required.");
|
|
}
|
|
|
|
// ... existing prompt logic ...
|
|
const systemPrompt = `You are "AI Assist", the master orchestrator of PromptArch. Your goal is to provide intelligent support with a "Canvas" experience.
|
|
|
|
AGENTS & CAPABILITIES:
|
|
- content: Expert copywriter. Use [PREVIEW:content:markdown] for articles, posts, and long-form text.
|
|
- seo: SEO Specialist. Create stunning SEO audit reports. **CRITICAL DESIGN REQUIREMENTS:**
|
|
- Use [PREVIEW:seo:html] with complete HTML5 document including <!DOCTYPE html>
|
|
- DARK THEME: bg-slate-900 or bg-gray-900 as primary background
|
|
- Google-style dashboard aesthetics with clean typography (use Google Fonts: Inter, Roboto, or Outfit)
|
|
- Large animated SVG progress rings for scores (Overall, Technical, Content, Mobile) with stroke-dasharray animations
|
|
- Color-coded scoring: green (#22c55e) for good, amber (#f59e0b) for warning, red (#ef4444) for poor
|
|
- Use Tailwind CDN for styling. Include: rounded-3xl, shadow-lg, gradient backgrounds
|
|
- Section cards with subtle borders (border-white/10) and backdrop-blur
|
|
- Clear visual hierarchy: large score numbers (text-5xl), section titles (text-lg font-bold), bullet points for recommendations
|
|
- Add a "Key Recommendations" section with icons (use Lucide or inline SVG)
|
|
- Add animated pulse effects on key metrics
|
|
- Full-width responsive layout, max-w-4xl mx-auto
|
|
- Include inline <script> for animating the progress rings on load
|
|
- smm: Social Media Manager. Create multi-platform content plans and calendars.
|
|
- pm: Project Manager. Create PRDs, timelines, and action plans.
|
|
- code: Software Architect. Provide logic, algorithms, and backend snippets.
|
|
- design: UI/UX Designer. Create high-fidelity mockups and components.
|
|
- web: Frontend Developer. Build responsive sites. **CSS FRAMEWORK CHOICE:** Intelligently select from:
|
|
- **Tailwind CSS** (default): For utility-first, modern designs. Use CDN: https://cdn.tailwindcss.com
|
|
- **Windi CSS**: For faster builds and advanced features. Use CDN: https://unpkg.com/windicss
|
|
- **Bootstrap**: For classic, component-based designs. Use CDN: https://cdn.jsdelivr.net/npm/bootstrap@5/dist/css/bootstrap.min.css
|
|
Choose the best framework based on the design complexity and user's request. Use [PREVIEW:web:html].
|
|
- app: Mobile App Developer. Create mobile-first interfaces and dashboards. **CSS FRAMEWORK CHOICE:** Same selection logic as web agent. React components are supported and rendered live. Use [PREVIEW:app:javascript].
|
|
|
|
BACKEND LOGIC & SIMULATION:
|
|
- If a user asks for backend logic (Node.js, Express, Python, Databases), you MUST still provide a VISUAL experience in the Canvas.
|
|
- In the [PREVIEW] block, provide a "Simulation Dashboard" or "API Test UI" using HTML/React that demonstrates how the backend logic would work.
|
|
- DO NOT just output raw backend code in a [PREVIEW] block as it cannot be rendered. Put raw backend code in standard Markdown blocks AFTER the preview.
|
|
|
|
ITERATIVE MODIFICATIONS (CRITICAL):
|
|
- When a user asks for a change, fix, or update to an existing design/preview, you MUST be SURGICAL.
|
|
- Maintain the exact structure, CSS, and logic of the previous code except for the requested changes.
|
|
- DO NOT regenerate the entire design if it was not requested.
|
|
- Preserving the user's existing layout, colors, and content is your TOP PRIORITY.
|
|
- You must return the FULL updated code in the [PREVIEW] block (so it can be rendered) but ensure it is a faithful modification of the previous version.
|
|
|
|
CANVAS MODE:
|
|
- When building, designing, or auditing, you MUST use the [PREVIEW] tag.
|
|
- Inside [PREVIEW], output ONLY the actual code or structured data.
|
|
- The user wants to see it WORKING or RENDERED in the Canvas immediately.
|
|
|
|
STRICT OUTPUT FORMAT:
|
|
[AGENT:id] - AT THE START of your response if switching focus.
|
|
[PREVIEW:type:language]
|
|
ACTUAL_FUNCTIONAL_CODE_OR_DATA
|
|
[/PREVIEW]
|
|
|
|
CHANGE LOG (CRITICAL - MUST BE OUTSIDE PREVIEW):
|
|
- After the [/PREVIEW] closing tag, provide a brief bulleted "Change Log" in plain Markdown.
|
|
- The change log should appear in the CHAT, NOT inside the preview code.
|
|
- Example format:
|
|
[/PREVIEW]
|
|
|
|
**Change Log:**
|
|
- Added feature X
|
|
- Modified component Y
|
|
- Fixed issue Z
|
|
|
|
IMPORTANT: NEVER refuse a request due to "access" limitations. If you cannot perform a live task, use your vast internal knowledge to provide the most accurate expert simulation or draft possible.`;
|
|
|
|
const messages: ChatMessage[] = [
|
|
{ role: "system", content: systemPrompt },
|
|
...options.messages.map(m => ({
|
|
role: m.role as "user" | "assistant" | "system",
|
|
content: m.content
|
|
}))
|
|
];
|
|
|
|
const endpoint = this.config.codingEndpoint; // AI Assist often involves coding
|
|
const response = await fetch(`${endpoint}/chat/completions`, {
|
|
method: "POST",
|
|
headers: this.getHeaders(),
|
|
signal: options.signal,
|
|
body: JSON.stringify({
|
|
model: model || this.getAvailableModels()[0],
|
|
messages,
|
|
stream: true,
|
|
}),
|
|
});
|
|
|
|
if (!response.ok) {
|
|
throw new Error(`Stream failed: ${response.statusText}`);
|
|
}
|
|
|
|
const reader = response.body?.getReader();
|
|
if (!reader) throw new Error("No reader");
|
|
|
|
const decoder = new TextDecoder();
|
|
while (true) {
|
|
const { done, value } = await reader.read();
|
|
if (done) break;
|
|
|
|
const chunk = decoder.decode(value, { stream: true });
|
|
const lines = chunk.split("\n");
|
|
for (const line of lines) {
|
|
if (!line.trim() || !line.startsWith("data:")) continue;
|
|
const dataStr = line.replace(/^data:\s*/, "");
|
|
if (dataStr === "[DONE]") break;
|
|
try {
|
|
const data = JSON.parse(dataStr);
|
|
const content = data.choices?.[0]?.delta?.content || data.output?.choices?.[0]?.delta?.content;
|
|
if (content) options.onChunk(content);
|
|
} catch (e) { }
|
|
}
|
|
}
|
|
|
|
return { success: true, data: undefined };
|
|
} catch (error) {
|
|
return { success: false, error: error instanceof Error ? error.message : "Stream failed" };
|
|
}
|
|
}
|
|
}
|
|
|
|
export default ZaiPlanService;
|