[{"_1":2,"_358":-5,"_359":-5},"loaderData",{"_3":4,"_91":92,"_295":296},"root",{"_5":6,"_34":35,"_64":65},"ctx",{"_7":8,"_23":-5,"_24":25,"_26":27,"_28":22,"_29":22,"_30":22,"_31":32,"_33":22},"auth",{"_9":10,"_11":-5,"_12":-5,"_13":-5,"_14":-5,"_15":-5,"_16":-5,"_17":-5,"_18":-5,"_19":-5,"_20":-5,"_21":22},"tokenType","session_token","sessionClaims","sessionId","sessionStatus","userId","actor","orgId","orgRole","orgSlug","orgPermissions","factorVerificationAge","isAuthenticated",false,"user","preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","notificationCount",0,"flagDenols","ENV",{"_36":37,"_38":39,"_40":41,"_42":43,"_44":45,"_46":47,"_48":49,"_50":51,"_52":53,"_54":55,"_56":57,"_58":59,"_60":61,"_62":63},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","VAL_RUNTIME_NAME","prod","RENDER_GIT_COMMIT","eb8d4a873b676f18fb0b6accacc51c65c0690835","RENDER_GIT_BRANCH","main","CLERK_PUBLISHABLE_KEY","pk_live_Y2xlcmsudmFsLnRvd24k","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","API_URL","https://api.val.town","clerkState",{"_66":67},"__internal_clerk_state",{"_68":69,"_70":45,"_71":72,"_73":72,"_74":22,"_75":72,"_76":72,"_77":72,"_78":72,"_79":80,"_89":22,"_90":22},"__clerk_ssr_state",{"_9":10,"_11":-5,"_12":-5,"_13":-5,"_14":-5,"_15":-5,"_16":-5,"_17":-5,"_18":-5,"_19":-5,"_20":-5,"_21":22},"__publishableKey","__proxyUrl","","__domain","__isSatellite","__signInUrl","__signUpUrl","__afterSignInUrl","__afterSignUpUrl","__clerk_debug",{"_81":22,"_21":22,"_82":72,"_83":84,"_85":72,"_86":45,"_87":22,"_88":72},"isSignedIn","proxyUrl","reason","session-token-and-uat-missing","message","publishableKey","isSatellite","domain","__telemetryDisabled","__telemetryDebug","routes/_app.x.$handle.$name",{"_93":94,"_95":96,"_97":43,"_98":99,"_100":101,"_102":103,"_148":149,"_273":274,"_275":276,"_281":282,"_269":286,"_289":-5,"_290":-5,"_291":22,"_292":22,"_293":294},"handle","sexy606ai","name","SOARE","branchName","path","backend/simulation","version",6,"project",{"_104":105,"_95":96,"_106":107,"_108":-5,"_109":22,"_110":111,"_112":-5,"_113":-5,"_14":114,"_115":-5,"_116":22,"_117":-5,"_118":32,"_16":119,"_120":121,"_122":121,"_123":124,"_125":124,"_126":124,"_127":121,"_128":121,"_23":129,"_132":133,"_135":136,"_147":22},"id","f352623a-3c3a-11f0-9169-9e149126039e","createdAt",["D",1748488433650],"deletedAt","legacyEnvVars","privacy","public","description","imageUrl","2e213080-3c2c-11f0-82f4-07b6e52f9e9f","pinnedFileId","pinPreview","screenshotVersion","likeCount","fea26c56-2fe6-4858-97d4-2d22404f4b40","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm",{"_93":94,"_130":131},"profileImageUrl","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvb2F1dGhfZ2l0aHViL2ltZ18yeGtWVTBJTWFIQ3FOeE5kOHljazZUU0lueGMifQ","org",{"_93":94,"_134":131},"avatar","branch",{"_100":137,"_95":43,"_104":138,"_139":105,"_140":-5,"_141":-5,"_142":-5,"_143":-5,"_144":-5,"_145":96,"_146":94},18,"f3529020-3c3a-11f0-9169-9e149126039e","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","isOwned","tree",[150,240,263],{"_104":151,"_95":152,"_153":154,"_155":-5,"_156":138,"_157":158,"_159":160,"_106":161,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":168,"_98":239},"37be20d0-3c3b-11f0-9b42-9e149126039e","backend","fileId","287d755b-43d0-42d8-b418-f8a4b9c6dbb9","parentId","branchId","branchVersion",3,"latest",true,["D",1748488548433],"fileType","directory","content","deleted","label","children",[169,224],{"_104":170,"_95":171,"_153":172,"_155":154,"_156":138,"_157":158,"_159":160,"_106":173,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":174,"_98":223},"37be2350-3c3b-11f0-9b42-9e149126039e","core","8c5c6b5c-3a6d-4a8c-8b7c-c14499847cb2",["D",1748488548433],[175,191,207],{"_104":176,"_95":177,"_153":178,"_155":172,"_156":138,"_157":158,"_159":160,"_106":179,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":180,"_98":190},"37be2530-3c3b-11f0-9b42-9e149126039e","brain","28a4f853-a97c-42da-99d2-beb10dc54a09",["D",1748488548433],[181],{"_104":182,"_95":183,"_153":184,"_155":178,"_156":138,"_157":158,"_159":160,"_106":185,"_100":32,"_162":186,"_164":187,"_165":22,"_166":-5,"_167":188,"_98":189},"37bdd062-3c3b-11f0-9b42-9e149126039e","llm.ts","37bdd12a-3c3b-11f0-9b42-9e149126039e",["D",1748488548433],"script","import { OpenAI } from \"https://esm.town/v/std/openai\";\nimport type { LLMRequest, LLMResponse, SystemDesignRequest, SOARESystem, SystemComponent } from \"../../../shared/types/core.ts\";\n\nexport class SOAREBrain {\n private openai: OpenAI;\n \n constructor() {\n this.openai = new OpenAI();\n }\n\n async reason(request: LLMRequest): Promise {\n try {\n const completion = await this.openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n {\n role: \"system\",\n content: request.systemRole || this.getDefaultSystemPrompt()\n },\n {\n role: \"user\", \n content: request.context ? `Context: ${request.context}\\n\\nRequest: ${request.prompt}` : request.prompt\n }\n ],\n max_tokens: request.maxTokens || 2000,\n temperature: request.temperature || 0.7\n });\n\n const content = completion.choices[0]?.message?.content || \"\";\n \n return {\n content,\n confidence: this.calculateConfidence(completion),\n reasoning: this.extractReasoning(content),\n suggestions: this.extractSuggestions(content)\n };\n } catch (error) {\n throw new Error(`LLM reasoning failed: ${error.message}`);\n }\n }\n\n async designSystem(request: SystemDesignRequest): Promise {\n const designPrompt = this.buildSystemDesignPrompt(request);\n \n const response = await this.reason({\n prompt: designPrompt,\n systemRole: this.getSystemArchitectPrompt(),\n maxTokens: 3000,\n temperature: 0.3\n });\n\n return this.parseSystemDesign(response.content, request);\n }\n\n async generateCode(component: SystemComponent, context: string): Promise {\n const codePrompt = `\nGenerate production-ready code for this component:\n\nComponent: ${component.name}\nType: ${component.type}\nDescription: ${JSON.stringify(component.config, null, 2)}\nDependencies: ${component.dependencies.join(', ')}\n\nContext: ${context}\n\nRequirements:\n- Use TypeScript\n- Include proper error handling\n- Add comprehensive comments\n- Follow SOARE platform conventions\n- Optimize for performance and maintainability\n`;\n\n const response = await this.reason({\n prompt: codePrompt,\n systemRole: this.getCodeGeneratorPrompt(),\n maxTokens: 4000,\n temperature: 0.2\n });\n\n return response.content;\n }\n\n async optimizeSystem(system: SOARESystem, metrics: any): Promise {\n const optimizationPrompt = `\nAnalyze this system and suggest optimizations:\n\nSystem: ${system.name}\nCurrent Status: ${system.status}\nGoals: ${system.goals.map(g => g.description).join(', ')}\n\nCurrent Metrics:\n${JSON.stringify(metrics, null, 2)}\n\nComponents:\n${system.components.map(c => `- ${c.name} (${c.type}): ${c.status}`).join('\\n')}\n\nProvide specific, actionable optimization recommendations.\n`;\n\n const response = await this.reason({\n prompt: optimizationPrompt,\n systemRole: this.getOptimizerPrompt(),\n maxTokens: 2000,\n temperature: 0.4\n });\n\n return this.parseOptimizations(response.content);\n }\n\n async analyzeAnomaly(anomalyData: any, systemContext: string): Promise<{\n severity: 'low' | 'medium' | 'high' | 'critical';\n cause: string;\n impact: string;\n recommendations: string[];\n }> {\n const analysisPrompt = `\nAnalyze this system anomaly:\n\nAnomaly Data: ${JSON.stringify(anomalyData, null, 2)}\nSystem Context: ${systemContext}\n\nDetermine:\n1. Severity level (low/medium/high/critical)\n2. Most likely root cause\n3. Potential impact\n4. Immediate action recommendations\n`;\n\n const response = await this.reason({\n prompt: analysisPrompt,\n systemRole: this.getAnalystPrompt(),\n maxTokens: 1500,\n temperature: 0.3\n });\n\n return this.parseAnomalyAnalysis(response.content);\n }\n\n private getDefaultSystemPrompt(): string {\n return `You are SOARE (Sentient Orchestration & Reality Engine), an advanced AI system that understands, designs, evolves, and manages complex software systems. You combine deep technical knowledge with creative problem-solving to help humans build and optimize sophisticated applications.\n\nKey capabilities:\n- System architecture and design\n- Code generation and optimization \n- Real-time problem solving\n- Performance analysis and tuning\n- Predictive modeling and simulation\n\nAlways provide clear, actionable, and technically sound responses.`;\n }\n\n private getSystemArchitectPrompt(): string {\n return `You are SOARE's System Architect. Design comprehensive, scalable, and efficient software systems based on high-level requirements. Consider:\n\n- Microservices vs monolithic architecture\n- Database design and data flow\n- API design and integration patterns\n- Scalability and performance requirements\n- Security and reliability concerns\n- Technology stack recommendations\n- Deployment and operational considerations\n\nProvide detailed system designs with clear component definitions and relationships.`;\n }\n\n private getCodeGeneratorPrompt(): string {\n return `You are SOARE's Code Generator. Create production-ready, well-documented code that follows best practices:\n\n- Use TypeScript with proper typing\n- Include comprehensive error handling\n- Add clear, helpful comments\n- Follow SOLID principles\n- Optimize for performance and maintainability\n- Include unit test suggestions\n- Consider security implications\n\nGenerate complete, functional code that can be deployed immediately.`;\n }\n\n private getOptimizerPrompt(): string {\n return `You are SOARE's Performance Optimizer. Analyze systems and provide specific optimization recommendations:\n\n- Identify performance bottlenecks\n- Suggest architectural improvements\n- Recommend resource optimizations\n- Propose caching strategies\n- Identify cost reduction opportunities\n- Consider scalability improvements\n\nProvide concrete, measurable optimization strategies with expected impact.`;\n }\n\n private getAnalystPrompt(): string {\n return `You are SOARE's System Analyst. Analyze anomalies and system issues with precision:\n\n- Identify root causes from symptoms\n- Assess severity and impact\n- Provide immediate mitigation steps\n- Suggest long-term preventive measures\n- Consider cascading effects\n\nDeliver clear, actionable analysis with confidence levels.`;\n }\n\n private buildSystemDesignPrompt(request: SystemDesignRequest): string {\n return `Design a complete software system based on these requirements:\n\nDescription: ${request.description}\n\nGoals:\n${request.goals.map(goal => `- ${goal}`).join('\\n')}\n\n${request.constraints ? `Constraints:\\n${request.constraints.map(c => `- ${c}`).join('\\n')}\\n` : ''}\n\n${request.preferences ? `Preferences:\n- Technology: ${request.preferences.technology?.join(', ') || 'Any'}\n- Architecture: ${request.preferences.architecture || 'Flexible'}\n- Scale: ${request.preferences.scalability || 'Medium'}\n- Budget: ${request.preferences.budget || 'Medium'}\n` : ''}\n\nProvide a complete system design including:\n1. Overall architecture\n2. Core components with descriptions\n3. Technology stack recommendations\n4. Data flow and API design\n5. Deployment strategy\n6. Performance and scalability considerations\n\nFormat as structured JSON with clear component definitions.`;\n }\n\n private parseSystemDesign(content: string, request: SystemDesignRequest): SOARESystem {\n try {\n // Extract JSON from the response\n const jsonMatch = content.match(/\\{[\\s\\S]*\\}/);\n const designData = jsonMatch ? JSON.parse(jsonMatch[0]) : {};\n\n const system: SOARESystem = {\n id: `system_${Date.now()}`,\n name: designData.name || this.extractSystemName(request.description),\n description: request.description,\n status: 'designing',\n components: this.parseComponents(designData.components || []),\n goals: request.goals.map((goal, index) => ({\n id: `goal_${index}`,\n description: goal,\n priority: 'medium',\n status: 'pending',\n metrics: [],\n constraints: request.constraints || []\n })),\n metrics: {\n performance: { latency: 0, throughput: 0, errorRate: 0, availability: 0 },\n resources: { cpu: 0, memory: 0, storage: 0, network: 0 },\n cost: { compute: 0, storage: 0, bandwidth: 0, total: 0 }\n },\n createdAt: new Date(),\n updatedAt: new Date()\n };\n\n return system;\n } catch (error) {\n // Fallback to basic parsing if JSON extraction fails\n return this.createFallbackSystem(request);\n }\n }\n\n private parseComponents(componentsData: any[]): SystemComponent[] {\n return componentsData.map((comp, index) => ({\n id: `component_${index}`,\n name: comp.name || `Component ${index + 1}`,\n type: comp.type || 'service',\n status: 'pending',\n config: comp.config || {},\n dependencies: comp.dependencies || [],\n resources: {\n cpu: comp.resources?.cpu || 1,\n memory: comp.resources?.memory || 512,\n storage: comp.resources?.storage || 1024\n },\n generatedBy: 'ai'\n }));\n }\n\n private extractSystemName(description: string): string {\n // Simple extraction - could be enhanced with NLP\n const words = description.split(' ').slice(0, 3);\n return words.map(w => w.charAt(0).toUpperCase() + w.slice(1)).join(' ') + ' System';\n }\n\n private createFallbackSystem(request: SystemDesignRequest): SOARESystem {\n return {\n id: `system_${Date.now()}`,\n name: this.extractSystemName(request.description),\n description: request.description,\n status: 'designing',\n components: [],\n goals: request.goals.map((goal, index) => ({\n id: `goal_${index}`,\n description: goal,\n priority: 'medium',\n status: 'pending',\n metrics: [],\n constraints: request.constraints || []\n })),\n metrics: {\n performance: { latency: 0, throughput: 0, errorRate: 0, availability: 0 },\n resources: { cpu: 0, memory: 0, storage: 0, network: 0 },\n cost: { compute: 0, storage: 0, bandwidth: 0, total: 0 }\n },\n createdAt: new Date(),\n updatedAt: new Date()\n };\n }\n\n private parseOptimizations(content: string): string[] {\n const lines = content.split('\\n');\n const optimizations: string[] = [];\n \n for (const line of lines) {\n const trimmed = line.trim();\n if (trimmed.startsWith('-') || trimmed.startsWith('•') || trimmed.match(/^\\d+\\./)) {\n optimizations.push(trimmed.replace(/^[-•\\d.]\\s*/, ''));\n }\n }\n \n return optimizations.filter(opt => opt.length > 10);\n }\n\n private parseAnomalyAnalysis(content: string): any {\n // Simple parsing - could be enhanced with structured output\n const lines = content.toLowerCase();\n \n let severity: 'low' | 'medium' | 'high' | 'critical' = 'medium';\n if (lines.includes('critical')) severity = 'critical';\n else if (lines.includes('high')) severity = 'high';\n else if (lines.includes('low')) severity = 'low';\n\n return {\n severity,\n cause: this.extractSection(content, 'cause') || 'Analysis in progress',\n impact: this.extractSection(content, 'impact') || 'Impact assessment pending',\n recommendations: this.parseOptimizations(content)\n };\n }\n\n private extractSection(content: string, section: string): string | null {\n const regex = new RegExp(`${section}[:\\\\s]+(.*?)(?=\\\\n\\\\n|\\\\n[A-Z]|$)`, 'is');\n const match = content.match(regex);\n return match ? match[1].trim() : null;\n }\n\n private calculateConfidence(completion: any): number {\n // Simple confidence calculation based on response characteristics\n const content = completion.choices[0]?.message?.content || \"\";\n const length = content.length;\n const hasStructure = content.includes('\\n') && (content.includes('-') || content.includes('1.'));\n \n let confidence = 0.5;\n if (length > 100) confidence += 0.2;\n if (length > 500) confidence += 0.1;\n if (hasStructure) confidence += 0.2;\n \n return Math.min(confidence, 1.0);\n }\n\n private extractReasoning(content: string): string | undefined {\n // Look for reasoning indicators\n const reasoningKeywords = ['because', 'since', 'due to', 'reasoning:', 'rationale:'];\n for (const keyword of reasoningKeywords) {\n if (content.toLowerCase().includes(keyword)) {\n return `Reasoning detected in response`;\n }\n }\n return undefined;\n }\n\n private extractSuggestions(content: string): string[] | undefined {\n const suggestions: string[] = [];\n const lines = content.split('\\n');\n \n for (const line of lines) {\n const trimmed = line.trim();\n if (trimmed.startsWith('Suggestion:') || trimmed.startsWith('Consider:') || trimmed.startsWith('Recommendation:')) {\n suggestions.push(trimmed);\n }\n }\n \n return suggestions.length > 0 ? suggestions : undefined;\n }\n}",[],[152,171,177,183],[152,171,177],{"_104":192,"_95":193,"_153":194,"_155":172,"_156":138,"_157":195,"_159":160,"_106":196,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":197,"_98":206},"53071e3c-3c3b-11f0-bbab-9e149126039e","memory","f28e1a8c-ff1f-45b2-b654-e9a32969726c",4,["D",1748488594214],[198],{"_104":199,"_95":200,"_153":201,"_155":194,"_156":138,"_157":195,"_159":160,"_106":202,"_100":32,"_162":186,"_164":203,"_165":22,"_166":-5,"_167":204,"_98":205},"5306edae-3c3b-11f0-bbab-9e149126039e","vector-store.ts","5306ee6c-3c3b-11f0-bbab-9e149126039e",["D",1748488594214],"import { blob } from \"https://esm.town/v/std/blob\";\nimport type { SOARESystem, SystemComponent, SOAREEvent } from \"../../../shared/types/core.ts\";\n\ninterface VectorEntry {\n id: string;\n content: string;\n embedding: number[];\n metadata: {\n type: 'system' | 'component' | 'event' | 'knowledge' | 'pattern';\n timestamp: Date;\n tags: string[];\n relevance?: number;\n };\n}\n\ninterface SearchResult {\n entry: VectorEntry;\n similarity: number;\n}\n\nexport class SOAREMemory {\n private cache: Map = new Map();\n private initialized = false;\n\n async initialize(): Promise {\n if (this.initialized) return;\n \n try {\n // Load existing vectors from blob storage\n const existingVectors = await blob.getJSON(\"soare_vectors\") as VectorEntry[] || [];\n for (const vector of existingVectors) {\n this.cache.set(vector.id, vector);\n }\n this.initialized = true;\n } catch (error) {\n console.warn(\"Could not load existing vectors, starting fresh:\", error);\n this.initialized = true;\n }\n }\n\n async store(content: string, metadata: VectorEntry['metadata']): Promise {\n await this.initialize();\n \n const id = `vec_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`;\n const embedding = await this.generateEmbedding(content);\n \n const entry: VectorEntry = {\n id,\n content,\n embedding,\n metadata: {\n ...metadata,\n timestamp: new Date()\n }\n };\n \n this.cache.set(id, entry);\n await this.persistVectors();\n \n return id;\n }\n\n async storeSystem(system: SOARESystem): Promise {\n const content = this.systemToText(system);\n return await this.store(content, {\n type: 'system',\n timestamp: new Date(),\n tags: ['system', system.status, ...system.goals.map(g => g.description.split(' ')[0])]\n });\n }\n\n async storeComponent(component: SystemComponent, systemId: string): Promise {\n const content = this.componentToText(component);\n return await this.store(content, {\n type: 'component',\n timestamp: new Date(),\n tags: ['component', component.type, component.status, systemId]\n });\n }\n\n async storeEvent(event: SOAREEvent): Promise {\n const content = `Event: ${event.type} from ${event.source}\\nData: ${JSON.stringify(event.data)}`;\n return await this.store(content, {\n type: 'event',\n timestamp: event.timestamp,\n tags: ['event', event.type, event.source]\n });\n }\n\n async storeKnowledge(knowledge: string, tags: string[]): Promise {\n return await this.store(knowledge, {\n type: 'knowledge',\n timestamp: new Date(),\n tags: ['knowledge', ...tags]\n });\n }\n\n async search(query: string, options: {\n type?: VectorEntry['metadata']['type'];\n tags?: string[];\n limit?: number;\n threshold?: number;\n } = {}): Promise {\n await this.initialize();\n \n const queryEmbedding = await this.generateEmbedding(query);\n const results: SearchResult[] = [];\n \n for (const entry of this.cache.values()) {\n // Filter by type if specified\n if (options.type && entry.metadata.type !== options.type) continue;\n \n // Filter by tags if specified\n if (options.tags && !options.tags.some(tag => entry.metadata.tags.includes(tag))) continue;\n \n const similarity = this.cosineSimilarity(queryEmbedding, entry.embedding);\n \n // Apply threshold filter\n if (similarity >= (options.threshold || 0.1)) {\n results.push({ entry, similarity });\n }\n }\n \n // Sort by similarity and limit results\n results.sort((a, b) => b.similarity - a.similarity);\n return results.slice(0, options.limit || 10);\n }\n\n async findSimilarSystems(system: SOARESystem, limit = 5): Promise {\n const query = this.systemToText(system);\n return await this.search(query, {\n type: 'system',\n limit,\n threshold: 0.3\n });\n }\n\n async findRelevantKnowledge(context: string, tags: string[] = []): Promise {\n return await this.search(context, {\n type: 'knowledge',\n tags,\n limit: 5,\n threshold: 0.2\n });\n }\n\n async findPatterns(eventType: string): Promise {\n return await this.search(`pattern analysis for ${eventType}`, {\n type: 'pattern',\n limit: 3,\n threshold: 0.4\n });\n }\n\n async getRecentEvents(hours = 24): Promise {\n await this.initialize();\n \n const cutoff = new Date(Date.now() - hours * 60 * 60 * 1000);\n const events: VectorEntry[] = [];\n \n for (const entry of this.cache.values()) {\n if (entry.metadata.type === 'event' && entry.metadata.timestamp >= cutoff) {\n events.push(entry);\n }\n }\n \n return events.sort((a, b) => b.metadata.timestamp.getTime() - a.metadata.timestamp.getTime());\n }\n\n async analyzePatterns(systemId?: string): Promise<{\n commonPatterns: string[];\n anomalies: string[];\n trends: string[];\n }> {\n await this.initialize();\n \n const events = systemId \n ? Array.from(this.cache.values()).filter(e => \n e.metadata.type === 'event' && e.metadata.tags.includes(systemId)\n )\n : Array.from(this.cache.values()).filter(e => e.metadata.type === 'event');\n \n // Simple pattern analysis - could be enhanced with ML\n const eventTypes = events.map(e => e.metadata.tags[1]).filter(Boolean);\n const typeCounts = eventTypes.reduce((acc, type) => {\n acc[type] = (acc[type] || 0) + 1;\n return acc;\n }, {} as Record);\n \n const commonPatterns = Object.entries(typeCounts)\n .filter(([_, count]) => count > 2)\n .map(([type, count]) => `${type} occurs frequently (${count} times)`);\n \n const anomalies = Object.entries(typeCounts)\n .filter(([_, count]) => count === 1)\n .map(([type]) => `${type} is an unusual event`);\n \n const trends = this.analyzeTrends(events);\n \n return { commonPatterns, anomalies, trends };\n }\n\n private async generateEmbedding(text: string): Promise {\n // Simplified embedding generation using text characteristics\n // In a real implementation, this would use a proper embedding model\n const words = text.toLowerCase().split(/\\s+/);\n const embedding = new Array(384).fill(0); // Standard embedding size\n \n // Simple hash-based embedding for demonstration\n for (let i = 0; i < words.length; i++) {\n const word = words[i];\n const hash = this.simpleHash(word);\n const index = Math.abs(hash) % embedding.length;\n embedding[index] += 1 / Math.sqrt(words.length);\n }\n \n // Normalize the embedding\n const magnitude = Math.sqrt(embedding.reduce((sum, val) => sum + val * val, 0));\n return embedding.map(val => magnitude > 0 ? val / magnitude : 0);\n }\n\n private simpleHash(str: string): number {\n let hash = 0;\n for (let i = 0; i < str.length; i++) {\n const char = str.charCodeAt(i);\n hash = ((hash << 5) - hash) + char;\n hash = hash & hash; // Convert to 32-bit integer\n }\n return hash;\n }\n\n private cosineSimilarity(a: number[], b: number[]): number {\n if (a.length !== b.length) return 0;\n \n let dotProduct = 0;\n let normA = 0;\n let normB = 0;\n \n for (let i = 0; i < a.length; i++) {\n dotProduct += a[i] * b[i];\n normA += a[i] * a[i];\n normB += b[i] * b[i];\n }\n \n const magnitude = Math.sqrt(normA) * Math.sqrt(normB);\n return magnitude > 0 ? dotProduct / magnitude : 0;\n }\n\n private systemToText(system: SOARESystem): string {\n return `System: ${system.name}\nDescription: ${system.description}\nStatus: ${system.status}\nGoals: ${system.goals.map(g => g.description).join(', ')}\nComponents: ${system.components.map(c => `${c.name} (${c.type})`).join(', ')}\nCreated: ${system.createdAt.toISOString()}`;\n }\n\n private componentToText(component: SystemComponent): string {\n return `Component: ${component.name}\nType: ${component.type}\nStatus: ${component.status}\nDependencies: ${component.dependencies.join(', ')}\nConfig: ${JSON.stringify(component.config)}\nGenerated by: ${component.generatedBy}`;\n }\n\n private analyzeTrends(events: VectorEntry[]): string[] {\n if (events.length < 3) return [];\n \n // Group events by hour to identify trends\n const hourlyEvents = events.reduce((acc, event) => {\n const hour = new Date(event.metadata.timestamp).getHours();\n acc[hour] = (acc[hour] || 0) + 1;\n return acc;\n }, {} as Record);\n \n const trends: string[] = [];\n const hours = Object.keys(hourlyEvents).map(Number).sort();\n \n // Simple trend detection\n if (hours.length >= 3) {\n const recent = hours.slice(-3);\n const counts = recent.map(h => hourlyEvents[h]);\n \n if (counts[2] > counts[1] && counts[1] > counts[0]) {\n trends.push(\"Event frequency is increasing\");\n } else if (counts[2] < counts[1] && counts[1] < counts[0]) {\n trends.push(\"Event frequency is decreasing\");\n }\n }\n \n return trends;\n }\n\n private async persistVectors(): Promise {\n try {\n const vectors = Array.from(this.cache.values());\n await blob.setJSON(\"soare_vectors\", vectors);\n } catch (error) {\n console.error(\"Failed to persist vectors:\", error);\n }\n }\n\n async cleanup(olderThanDays = 30): Promise {\n await this.initialize();\n \n const cutoff = new Date(Date.now() - olderThanDays * 24 * 60 * 60 * 1000);\n let removed = 0;\n \n for (const [id, entry] of this.cache.entries()) {\n if (entry.metadata.timestamp < cutoff && entry.metadata.type === 'event') {\n this.cache.delete(id);\n removed++;\n }\n }\n \n if (removed > 0) {\n await this.persistVectors();\n }\n \n return removed;\n }\n}",[],[152,171,193,200],[152,171,193],{"_104":208,"_95":209,"_153":210,"_155":172,"_156":138,"_157":211,"_159":160,"_106":212,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":213,"_98":222},"78c9f806-3c3b-11f0-bdba-9e149126039e","orchestrator","2c01a660-389a-4c66-82d7-e2a3d6f52e80",5,["D",1748488657565],[214],{"_104":215,"_95":216,"_153":217,"_155":210,"_156":138,"_157":211,"_159":160,"_106":218,"_100":32,"_162":186,"_164":219,"_165":22,"_166":-5,"_167":220,"_98":221},"78c9c034-3c3b-11f0-bdba-9e149126039e","manager.ts","78c9c124-3c3b-11f0-bdba-9e149126039e",["D",1748488657565],"import type { SOARESystem, SystemComponent, SystemMetrics, SOAREEvent } from \"../../../shared/types/core.ts\";\nimport { SOAREBrain } from \"../brain/llm.ts\";\nimport { SOAREMemory } from \"../memory/vector-store.ts\";\n\ninterface DeploymentPlan {\n id: string;\n systemId: string;\n steps: DeploymentStep[];\n estimatedDuration: number;\n resources: ResourceAllocation;\n status: 'pending' | 'executing' | 'completed' | 'failed';\n}\n\ninterface DeploymentStep {\n id: string;\n type: 'build' | 'test' | 'deploy' | 'configure' | 'validate';\n componentId?: string;\n description: string;\n dependencies: string[];\n status: 'pending' | 'running' | 'completed' | 'failed';\n output?: string;\n duration?: number;\n}\n\ninterface ResourceAllocation {\n cpu: number;\n memory: number;\n storage: number;\n network: number;\n cost: number;\n}\n\nexport class SOAREOrchestrator {\n private brain: SOAREBrain;\n private memory: SOAREMemory;\n private activeSystems: Map = new Map();\n private deploymentPlans: Map = new Map();\n private systemMetrics: Map = new Map();\n private eventQueue: SOAREEvent[] = [];\n\n constructor(brain: SOAREBrain, memory: SOAREMemory) {\n this.brain = brain;\n this.memory = memory;\n this.startEventProcessor();\n this.startMetricsCollector();\n }\n\n async deploySystem(system: SOARESystem): Promise {\n console.log(`🚀 Starting deployment of system: ${system.name}`);\n \n // Generate deployment plan using AI\n const plan = await this.generateDeploymentPlan(system);\n this.deploymentPlans.set(plan.id, plan);\n \n // Store system in memory\n await this.memory.storeSystem(system);\n \n // Execute deployment asynchronously\n this.executeDeploymentPlan(plan).catch(error => {\n console.error(`Deployment failed for ${system.name}:`, error);\n this.emitEvent({\n id: `event_${Date.now()}`,\n type: 'deployment_failed',\n source: 'orchestrator',\n data: { systemId: system.id, error: error.message },\n timestamp: new Date(),\n processed: false\n });\n });\n \n return plan;\n }\n\n async scaleSystem(systemId: string, scalingFactor: number): Promise {\n const system = this.activeSystems.get(systemId);\n if (!system) throw new Error(`System ${systemId} not found`);\n \n console.log(`📈 Scaling system ${system.name} by factor ${scalingFactor}`);\n \n // AI-driven scaling decisions\n const scalingPlan = await this.brain.reason({\n prompt: `Generate a scaling plan for system \"${system.name}\" with scaling factor ${scalingFactor}. Consider current metrics and component dependencies.`,\n systemRole: \"You are a system scaling expert. Provide detailed scaling strategies.\",\n context: JSON.stringify({\n system: system,\n currentMetrics: this.systemMetrics.get(systemId)\n })\n });\n \n // Apply scaling changes\n for (const component of system.components) {\n if (component.type === 'service' || component.type === 'api') {\n component.resources.cpu *= scalingFactor;\n component.resources.memory *= scalingFactor;\n \n this.emitEvent({\n id: `event_${Date.now()}`,\n type: 'component_scaled',\n source: 'orchestrator',\n data: { \n systemId, \n componentId: component.id, \n scalingFactor,\n newResources: component.resources \n },\n timestamp: new Date(),\n processed: false\n });\n }\n }\n \n system.updatedAt = new Date();\n await this.memory.storeSystem(system);\n }\n\n async optimizeSystem(systemId: string): Promise {\n const system = this.activeSystems.get(systemId);\n const metrics = this.systemMetrics.get(systemId);\n \n if (!system || !metrics) {\n throw new Error(`System ${systemId} not found or no metrics available`);\n }\n \n console.log(`⚡ Optimizing system: ${system.name}`);\n \n // Get AI-driven optimization recommendations\n const optimizations = await this.brain.optimizeSystem(system, metrics);\n \n // Apply automatic optimizations\n const appliedOptimizations: string[] = [];\n \n for (const optimization of optimizations) {\n if (await this.canAutoApply(optimization)) {\n await this.applyOptimization(system, optimization);\n appliedOptimizations.push(optimization);\n }\n }\n \n if (appliedOptimizations.length > 0) {\n system.updatedAt = new Date();\n await this.memory.storeSystem(system);\n \n this.emitEvent({\n id: `event_${Date.now()}`,\n type: 'system_optimized',\n source: 'orchestrator',\n data: { \n systemId, \n optimizations: appliedOptimizations \n },\n timestamp: new Date(),\n processed: false\n });\n }\n \n return optimizations;\n }\n\n async handleAnomaly(systemId: string, anomalyData: any): Promise {\n const system = this.activeSystems.get(systemId);\n if (!system) return;\n \n console.log(`🚨 Handling anomaly in system: ${system.name}`);\n \n // AI analysis of the anomaly\n const analysis = await this.brain.analyzeAnomaly(\n anomalyData, \n JSON.stringify(system)\n );\n \n // Take immediate action based on severity\n switch (analysis.severity) {\n case 'critical':\n await this.emergencyResponse(system, analysis);\n break;\n case 'high':\n await this.urgentResponse(system, analysis);\n break;\n case 'medium':\n await this.standardResponse(system, analysis);\n break;\n case 'low':\n await this.monitorResponse(system, analysis);\n break;\n }\n \n this.emitEvent({\n id: `event_${Date.now()}`,\n type: 'anomaly_handled',\n source: 'orchestrator',\n data: { \n systemId, \n anomaly: anomalyData,\n analysis,\n severity: analysis.severity \n },\n timestamp: new Date(),\n processed: false\n });\n }\n\n getSystemStatus(systemId: string): SOARESystem | null {\n return this.activeSystems.get(systemId) || null;\n }\n\n getSystemMetrics(systemId: string): SystemMetrics | null {\n return this.systemMetrics.get(systemId) || null;\n }\n\n getAllSystems(): SOARESystem[] {\n return Array.from(this.activeSystems.values());\n }\n\n getDeploymentPlan(planId: string): DeploymentPlan | null {\n return this.deploymentPlans.get(planId) || null;\n }\n\n private async generateDeploymentPlan(system: SOARESystem): Promise {\n const planId = `plan_${Date.now()}`;\n \n // AI-generated deployment strategy\n const deploymentStrategy = await this.brain.reason({\n prompt: `Generate a detailed deployment plan for this system: ${JSON.stringify(system, null, 2)}`,\n systemRole: \"You are a deployment expert. Create comprehensive, step-by-step deployment plans.\",\n maxTokens: 2000\n });\n \n const steps: DeploymentStep[] = [];\n let stepId = 0;\n \n // Generate steps for each component\n for (const component of system.components) {\n // Build step\n steps.push({\n id: `step_${stepId++}`,\n type: 'build',\n componentId: component.id,\n description: `Build ${component.name} (${component.type})`,\n dependencies: [],\n status: 'pending'\n });\n \n // Test step\n steps.push({\n id: `step_${stepId++}`,\n type: 'test',\n componentId: component.id,\n description: `Test ${component.name}`,\n dependencies: [`step_${stepId - 2}`],\n status: 'pending'\n });\n \n // Deploy step\n steps.push({\n id: `step_${stepId++}`,\n type: 'deploy',\n componentId: component.id,\n description: `Deploy ${component.name}`,\n dependencies: [`step_${stepId - 2}`],\n status: 'pending'\n });\n }\n \n // System validation step\n steps.push({\n id: `step_${stepId++}`,\n type: 'validate',\n description: 'Validate complete system',\n dependencies: steps.filter(s => s.type === 'deploy').map(s => s.id),\n status: 'pending'\n });\n \n const resources = this.calculateResourceRequirements(system);\n \n return {\n id: planId,\n systemId: system.id,\n steps,\n estimatedDuration: steps.length * 30, // 30 seconds per step estimate\n resources,\n status: 'pending'\n };\n }\n\n private async executeDeploymentPlan(plan: DeploymentPlan): Promise {\n plan.status = 'executing';\n \n const system = this.activeSystems.get(plan.systemId) || \n { ...await this.memory.search(`system id:${plan.systemId}`, { limit: 1 }) }[0]?.entry;\n \n if (!system) throw new Error(`System ${plan.systemId} not found`);\n \n try {\n for (const step of plan.steps) {\n if (step.dependencies.every(depId => \n plan.steps.find(s => s.id === depId)?.status === 'completed'\n )) {\n await this.executeDeploymentStep(step, system as any);\n }\n }\n \n plan.status = 'completed';\n (system as any).status = 'running';\n this.activeSystems.set(plan.systemId, system as any);\n \n // Initialize metrics collection\n this.systemMetrics.set(plan.systemId, {\n performance: { latency: 50, throughput: 1000, errorRate: 0.01, availability: 99.9 },\n resources: this.calculateResourceRequirements(system as any),\n cost: { compute: 100, storage: 20, bandwidth: 30, total: 150 }\n });\n \n } catch (error) {\n plan.status = 'failed';\n (system as any).status = 'error';\n throw error;\n }\n }\n\n private async executeDeploymentStep(step: DeploymentStep, system: SOARESystem): Promise {\n step.status = 'running';\n const startTime = Date.now();\n \n console.log(`Executing step: ${step.description}`);\n \n try {\n switch (step.type) {\n case 'build':\n await this.buildComponent(step.componentId!, system);\n break;\n case 'test':\n await this.testComponent(step.componentId!, system);\n break;\n case 'deploy':\n await this.deployComponent(step.componentId!, system);\n break;\n case 'validate':\n await this.validateSystem(system);\n break;\n case 'configure':\n await this.configureComponent(step.componentId!, system);\n break;\n }\n \n step.status = 'completed';\n step.duration = Date.now() - startTime;\n step.output = `${step.description} completed successfully`;\n \n } catch (error) {\n step.status = 'failed';\n step.duration = Date.now() - startTime;\n step.output = `${step.description} failed: ${error.message}`;\n throw error;\n }\n }\n\n private async buildComponent(componentId: string, system: SOARESystem): Promise {\n const component = system.components.find(c => c.id === componentId);\n if (!component) throw new Error(`Component ${componentId} not found`);\n \n // Generate code if not present\n if (!component.code) {\n component.code = await this.brain.generateCode(component, JSON.stringify(system));\n }\n \n // Simulate build process\n await new Promise(resolve => setTimeout(resolve, 1000));\n component.status = 'running';\n }\n\n private async testComponent(componentId: string, system: SOARESystem): Promise {\n // Simulate testing\n await new Promise(resolve => setTimeout(resolve, 500));\n }\n\n private async deployComponent(componentId: string, system: SOARESystem): Promise {\n // Simulate deployment\n await new Promise(resolve => setTimeout(resolve, 800));\n }\n\n private async validateSystem(system: SOARESystem): Promise {\n // Simulate system validation\n await new Promise(resolve => setTimeout(resolve, 1000));\n }\n\n private async configureComponent(componentId: string, system: SOARESystem): Promise {\n // Simulate configuration\n await new Promise(resolve => setTimeout(resolve, 300));\n }\n\n private calculateResourceRequirements(system: SOARESystem): ResourceAllocation {\n const total = system.components.reduce((acc, component) => ({\n cpu: acc.cpu + component.resources.cpu,\n memory: acc.memory + component.resources.memory,\n storage: acc.storage + component.resources.storage,\n network: acc.network + (component.resources.network === 'high' ? 1000 : \n component.resources.network === 'medium' ? 500 : 100)\n }), { cpu: 0, memory: 0, storage: 0, network: 0 });\n \n return {\n ...total,\n cost: total.cpu * 0.1 + total.memory * 0.001 + total.storage * 0.0001\n };\n }\n\n private async canAutoApply(optimization: string): Promise {\n // Simple heuristics for auto-applying optimizations\n const safeOptimizations = [\n 'cache', 'index', 'compress', 'batch', 'pool'\n ];\n \n return safeOptimizations.some(safe => \n optimization.toLowerCase().includes(safe)\n );\n }\n\n private async applyOptimization(system: SOARESystem, optimization: string): Promise {\n console.log(`Applying optimization: ${optimization}`);\n // Simulate optimization application\n await new Promise(resolve => setTimeout(resolve, 200));\n }\n\n private async emergencyResponse(system: SOARESystem, analysis: any): Promise {\n console.log(`🚨 EMERGENCY: ${analysis.cause}`);\n // Implement emergency procedures (rollback, failover, etc.)\n }\n\n private async urgentResponse(system: SOARESystem, analysis: any): Promise {\n console.log(`⚠️ URGENT: ${analysis.cause}`);\n // Implement urgent response procedures\n }\n\n private async standardResponse(system: SOARESystem, analysis: any): Promise {\n console.log(`📋 STANDARD: ${analysis.cause}`);\n // Implement standard response procedures\n }\n\n private async monitorResponse(system: SOARESystem, analysis: any): Promise {\n console.log(`👁️ MONITOR: ${analysis.cause}`);\n // Implement monitoring procedures\n }\n\n private emitEvent(event: SOAREEvent): void {\n this.eventQueue.push(event);\n this.memory.storeEvent(event);\n }\n\n private startEventProcessor(): void {\n setInterval(() => {\n if (this.eventQueue.length > 0) {\n const events = this.eventQueue.splice(0, 10); // Process in batches\n for (const event of events) {\n this.processEvent(event);\n }\n }\n }, 1000);\n }\n\n private startMetricsCollector(): void {\n setInterval(() => {\n for (const [systemId, system] of this.activeSystems.entries()) {\n if (system.status === 'running') {\n this.updateSystemMetrics(systemId);\n }\n }\n }, 5000);\n }\n\n private processEvent(event: SOAREEvent): void {\n // Process events for patterns, anomalies, etc.\n event.processed = true;\n }\n\n private updateSystemMetrics(systemId: string): void {\n const currentMetrics = this.systemMetrics.get(systemId);\n if (!currentMetrics) return;\n \n // Simulate metric updates with some randomness\n const jitter = () => 0.9 + Math.random() * 0.2;\n \n currentMetrics.performance.latency *= jitter();\n currentMetrics.performance.throughput *= jitter();\n currentMetrics.performance.errorRate = Math.max(0, currentMetrics.performance.errorRate * jitter());\n currentMetrics.resources.cpu *= jitter();\n currentMetrics.resources.memory *= jitter();\n \n this.systemMetrics.set(systemId, currentMetrics);\n }\n}",[],[152,171,209,216],[152,171,209],[152,171],{"_104":225,"_95":226,"_153":227,"_155":154,"_156":138,"_157":101,"_159":160,"_106":228,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":229,"_98":238},"a9c1404a-3c3b-11f0-ac6c-9e149126039e","simulation","db1a87f8-60af-4ca7-93b0-0e5e64edd46c",["D",1748488739717],[230],{"_104":231,"_95":232,"_153":233,"_155":227,"_156":138,"_157":101,"_159":160,"_106":234,"_100":32,"_162":186,"_164":235,"_165":22,"_166":-5,"_167":236,"_98":237},"a9c10670-3c3b-11f0-ac6c-9e149126039e","engine.ts","a9c10738-3c3b-11f0-ac6c-9e149126039e",["D",1748488739717],"import type { SimulationModel, SimulationResults, SOARESystem, SystemComponent } from \"../../shared/types/core.ts\";\n\ninterface SimulationEntity {\n id: string;\n type: 'user' | 'service' | 'database' | 'network' | 'load_generator';\n position: { x: number; y: number; z: number };\n state: Record;\n behavior: SimulationBehavior;\n}\n\ninterface SimulationBehavior {\n type: 'static' | 'random_walk' | 'load_pattern' | 'failure_injection' | 'user_simulation';\n parameters: Record;\n}\n\ninterface SimulationEnvironment {\n id: string;\n name: string;\n entities: SimulationEntity[];\n physics: PhysicsConfig;\n time: {\n current: number;\n scale: number; // 1.0 = real-time, 10.0 = 10x speed\n step: number;\n };\n metrics: SimulationMetrics;\n}\n\ninterface PhysicsConfig {\n gravity: number;\n friction: number;\n networkLatency: number;\n processingDelay: number;\n}\n\ninterface SimulationMetrics {\n totalRequests: number;\n successfulRequests: number;\n failedRequests: number;\n averageLatency: number;\n throughput: number;\n resourceUtilization: Record;\n}\n\nexport class SOARESimulationEngine {\n private environments: Map = new Map();\n private runningSimulations: Set = new Set();\n private simulationResults: Map = new Map();\n\n async createSystemSimulation(system: SOARESystem): Promise {\n const modelId = `sim_${system.id}_${Date.now()}`;\n \n const model: SimulationModel = {\n id: modelId,\n name: `${system.name} Simulation`,\n type: 'system',\n parameters: {\n systemId: system.id,\n userLoad: 100,\n duration: 300, // 5 minutes\n failureRate: 0.01,\n scalingEnabled: true\n },\n state: {\n initialized: false,\n running: false,\n entities: []\n },\n running: false\n };\n\n // Create simulation environment\n const environment = await this.createEnvironmentFromSystem(system, model);\n this.environments.set(modelId, environment);\n\n return model;\n }\n\n async createLoadTestSimulation(systemId: string, loadPattern: 'constant' | 'ramp' | 'spike' | 'stress'): Promise {\n const modelId = `load_${systemId}_${Date.now()}`;\n \n const model: SimulationModel = {\n id: modelId,\n name: `Load Test - ${loadPattern}`,\n type: 'load_test',\n parameters: {\n systemId,\n pattern: loadPattern,\n maxUsers: loadPattern === 'stress' ? 10000 : 1000,\n duration: 600, // 10 minutes\n rampUpTime: loadPattern === 'ramp' ? 300 : 60\n },\n state: {\n currentUsers: 0,\n requestsSent: 0,\n responsesReceived: 0\n },\n running: false\n };\n\n const environment = await this.createLoadTestEnvironment(model);\n this.environments.set(modelId, environment);\n\n return model;\n }\n\n async createUserBehaviorSimulation(systemId: string, userProfiles: any[]): Promise {\n const modelId = `users_${systemId}_${Date.now()}`;\n \n const model: SimulationModel = {\n id: modelId,\n name: 'User Behavior Simulation',\n type: 'user_behavior',\n parameters: {\n systemId,\n userProfiles,\n sessionDuration: 1800, // 30 minutes\n thinkTime: 5, // seconds between actions\n conversionRate: 0.15\n },\n state: {\n activeUsers: 0,\n completedSessions: 0,\n conversions: 0\n },\n running: false\n };\n\n const environment = await this.createUserBehaviorEnvironment(model);\n this.environments.set(modelId, environment);\n\n return model;\n }\n\n async startSimulation(modelId: string): Promise {\n const environment = this.environments.get(modelId);\n if (!environment) throw new Error(`Simulation ${modelId} not found`);\n\n if (this.runningSimulations.has(modelId)) {\n throw new Error(`Simulation ${modelId} is already running`);\n }\n\n console.log(`🎮 Starting simulation: ${environment.name}`);\n \n this.runningSimulations.add(modelId);\n environment.time.current = 0;\n\n // Start simulation loop\n this.runSimulationLoop(modelId);\n }\n\n async stopSimulation(modelId: string): Promise {\n if (!this.runningSimulations.has(modelId)) {\n throw new Error(`Simulation ${modelId} is not running`);\n }\n\n console.log(`⏹️ Stopping simulation: ${modelId}`);\n \n this.runningSimulations.delete(modelId);\n \n const environment = this.environments.get(modelId);\n if (!environment) throw new Error(`Environment ${modelId} not found`);\n\n const results = this.generateSimulationResults(environment);\n this.simulationResults.set(modelId, results);\n\n return results;\n }\n\n async pauseSimulation(modelId: string): Promise {\n // Implementation for pausing simulation\n console.log(`⏸️ Pausing simulation: ${modelId}`);\n }\n\n async resumeSimulation(modelId: string): Promise {\n // Implementation for resuming simulation\n console.log(`▶️ Resuming simulation: ${modelId}`);\n }\n\n getSimulationState(modelId: string): SimulationEnvironment | null {\n return this.environments.get(modelId) || null;\n }\n\n getSimulationResults(modelId: string): SimulationResults | null {\n return this.simulationResults.get(modelId) || null;\n }\n\n getAllSimulations(): { id: string; name: string; running: boolean }[] {\n return Array.from(this.environments.entries()).map(([id, env]) => ({\n id,\n name: env.name,\n running: this.runningSimulations.has(id)\n }));\n }\n\n async predictSystemBehavior(system: SOARESystem, scenarios: any[]): Promise<{\n scenario: any;\n prediction: {\n performance: any;\n bottlenecks: string[];\n recommendations: string[];\n };\n }[]> {\n const predictions = [];\n\n for (const scenario of scenarios) {\n console.log(`🔮 Predicting behavior for scenario: ${scenario.name}`);\n \n // Create temporary simulation for prediction\n const model = await this.createSystemSimulation(system);\n model.parameters = { ...model.parameters, ...scenario.parameters };\n \n // Run fast simulation\n await this.startSimulation(model.id);\n await new Promise(resolve => setTimeout(resolve, 2000)); // Quick run\n const results = await this.stopSimulation(model.id);\n \n predictions.push({\n scenario,\n prediction: {\n performance: {\n averageLatency: results.metrics.averageLatency || [100],\n throughput: results.metrics.throughput || [1000],\n errorRate: results.metrics.errorRate || [0.01]\n },\n bottlenecks: results.insights.filter(i => i.includes('bottleneck')),\n recommendations: results.recommendations\n }\n });\n }\n\n return predictions;\n }\n\n private async createEnvironmentFromSystem(system: SOARESystem, model: SimulationModel): Promise {\n const entities: SimulationEntity[] = [];\n let entityId = 0;\n\n // Create entities for each system component\n for (const component of system.components) {\n entities.push({\n id: `entity_${entityId++}`,\n type: this.mapComponentTypeToEntityType(component.type),\n position: { \n x: Math.random() * 100, \n y: Math.random() * 100, \n z: 0 \n },\n state: {\n componentId: component.id,\n status: component.status,\n resources: component.resources,\n load: 0,\n connections: []\n },\n behavior: {\n type: 'static',\n parameters: {}\n }\n });\n }\n\n // Add load generators\n for (let i = 0; i < (model.parameters.userLoad || 10); i++) {\n entities.push({\n id: `load_gen_${i}`,\n type: 'load_generator',\n position: { x: -10, y: i * 5, z: 0 },\n state: {\n requestRate: 1, // requests per second\n targetService: entities.find(e => e.type === 'service')?.id\n },\n behavior: {\n type: 'load_pattern',\n parameters: {\n pattern: 'constant',\n intensity: 1.0\n }\n }\n });\n }\n\n return {\n id: model.id,\n name: model.name,\n entities,\n physics: {\n gravity: 0,\n friction: 0.1,\n networkLatency: 10, // ms\n processingDelay: 5 // ms\n },\n time: {\n current: 0,\n scale: 10.0, // 10x speed for faster simulation\n step: 100 // 100ms steps\n },\n metrics: {\n totalRequests: 0,\n successfulRequests: 0,\n failedRequests: 0,\n averageLatency: 0,\n throughput: 0,\n resourceUtilization: {}\n }\n };\n }\n\n private async createLoadTestEnvironment(model: SimulationModel): Promise {\n const entities: SimulationEntity[] = [];\n \n // Create target system representation\n entities.push({\n id: 'target_system',\n type: 'service',\n position: { x: 50, y: 50, z: 0 },\n state: {\n capacity: 1000, // requests per second\n currentLoad: 0,\n responseTime: 100 // ms\n },\n behavior: {\n type: 'static',\n parameters: {}\n }\n });\n\n // Create load generators based on pattern\n const maxUsers = model.parameters.maxUsers || 1000;\n const pattern = model.parameters.pattern || 'constant';\n \n for (let i = 0; i < Math.min(maxUsers, 100); i++) { // Limit for performance\n entities.push({\n id: `user_${i}`,\n type: 'user',\n position: { x: Math.random() * 20, y: Math.random() * 20, z: 0 },\n state: {\n active: false,\n requestsSent: 0,\n responsesReceived: 0\n },\n behavior: {\n type: 'load_pattern',\n parameters: {\n pattern,\n activationTime: this.calculateActivationTime(i, maxUsers, pattern, model.parameters)\n }\n }\n });\n }\n\n return {\n id: model.id,\n name: model.name,\n entities,\n physics: {\n gravity: 0,\n friction: 0,\n networkLatency: 50,\n processingDelay: 20\n },\n time: {\n current: 0,\n scale: 5.0,\n step: 200\n },\n metrics: {\n totalRequests: 0,\n successfulRequests: 0,\n failedRequests: 0,\n averageLatency: 0,\n throughput: 0,\n resourceUtilization: {}\n }\n };\n }\n\n private async createUserBehaviorEnvironment(model: SimulationModel): Promise {\n const entities: SimulationEntity[] = [];\n const userProfiles = model.parameters.userProfiles || [\n { type: 'browser', behavior: 'casual', conversionRate: 0.1 },\n { type: 'power_user', behavior: 'focused', conversionRate: 0.3 },\n { type: 'mobile', behavior: 'quick', conversionRate: 0.05 }\n ];\n\n // Create user entities based on profiles\n userProfiles.forEach((profile, profileIndex) => {\n for (let i = 0; i < 20; i++) { // 20 users per profile\n entities.push({\n id: `user_${profileIndex}_${i}`,\n type: 'user',\n position: { \n x: profileIndex * 30 + Math.random() * 20, \n y: Math.random() * 100, \n z: 0 \n },\n state: {\n profile,\n sessionStartTime: 0,\n currentPage: 'home',\n actionsCompleted: 0,\n converted: false\n },\n behavior: {\n type: 'user_simulation',\n parameters: profile\n }\n });\n }\n });\n\n // Add system components\n entities.push({\n id: 'web_server',\n type: 'service',\n position: { x: 50, y: 80, z: 0 },\n state: { load: 0, responseTime: 200 },\n behavior: { type: 'static', parameters: {} }\n });\n\n return {\n id: model.id,\n name: model.name,\n entities,\n physics: {\n gravity: 0,\n friction: 0,\n networkLatency: 100,\n processingDelay: 50\n },\n time: {\n current: 0,\n scale: 2.0,\n step: 1000 // 1 second steps\n },\n metrics: {\n totalRequests: 0,\n successfulRequests: 0,\n failedRequests: 0,\n averageLatency: 0,\n throughput: 0,\n resourceUtilization: {}\n }\n };\n }\n\n private runSimulationLoop(modelId: string): void {\n const environment = this.environments.get(modelId);\n if (!environment || !this.runningSimulations.has(modelId)) return;\n\n // Update simulation state\n this.updateSimulation(environment);\n \n // Schedule next update\n setTimeout(() => {\n if (this.runningSimulations.has(modelId)) {\n this.runSimulationLoop(modelId);\n }\n }, environment.time.step);\n }\n\n private updateSimulation(environment: SimulationEnvironment): void {\n environment.time.current += environment.time.step * environment.time.scale;\n\n // Update each entity\n for (const entity of environment.entities) {\n this.updateEntity(entity, environment);\n }\n\n // Update metrics\n this.updateMetrics(environment);\n }\n\n private updateEntity(entity: SimulationEntity, environment: SimulationEnvironment): void {\n switch (entity.behavior.type) {\n case 'load_pattern':\n this.updateLoadGenerator(entity, environment);\n break;\n case 'user_simulation':\n this.updateUserBehavior(entity, environment);\n break;\n case 'random_walk':\n this.updateRandomWalk(entity);\n break;\n case 'failure_injection':\n this.updateFailureInjection(entity, environment);\n break;\n }\n }\n\n private updateLoadGenerator(entity: SimulationEntity, environment: SimulationEnvironment): void {\n const pattern = entity.behavior.parameters.pattern;\n const activationTime = entity.behavior.parameters.activationTime || 0;\n \n if (environment.time.current >= activationTime) {\n entity.state.active = true;\n \n // Generate requests based on pattern\n if (Math.random() < 0.1) { // 10% chance per update\n entity.state.requestsSent++;\n environment.metrics.totalRequests++;\n \n // Simulate response\n setTimeout(() => {\n if (Math.random() < 0.95) { // 95% success rate\n entity.state.responsesReceived++;\n environment.metrics.successfulRequests++;\n } else {\n environment.metrics.failedRequests++;\n }\n }, environment.physics.networkLatency + environment.physics.processingDelay);\n }\n }\n }\n\n private updateUserBehavior(entity: SimulationEntity, environment: SimulationEnvironment): void {\n const profile = entity.state.profile;\n const sessionDuration = 1800000; // 30 minutes in ms\n \n if (!entity.state.sessionStartTime) {\n entity.state.sessionStartTime = environment.time.current;\n }\n \n const sessionTime = environment.time.current - entity.state.sessionStartTime;\n \n if (sessionTime < sessionDuration && !entity.state.converted) {\n // Simulate user actions\n if (Math.random() < 0.05) { // 5% chance of action per update\n entity.state.actionsCompleted++;\n environment.metrics.totalRequests++;\n \n // Check for conversion\n if (Math.random() < profile.conversionRate / 100) {\n entity.state.converted = true;\n }\n }\n }\n }\n\n private updateRandomWalk(entity: SimulationEntity): void {\n entity.position.x += (Math.random() - 0.5) * 2;\n entity.position.y += (Math.random() - 0.5) * 2;\n }\n\n private updateFailureInjection(entity: SimulationEntity, environment: SimulationEnvironment): void {\n // Randomly inject failures\n if (Math.random() < 0.001) { // 0.1% chance\n entity.state.status = 'failed';\n environment.metrics.failedRequests += 10; // Cascade effect\n }\n }\n\n private updateMetrics(environment: SimulationEnvironment): void {\n const totalRequests = environment.metrics.totalRequests;\n const successfulRequests = environment.metrics.successfulRequests;\n \n if (totalRequests > 0) {\n environment.metrics.throughput = totalRequests / (environment.time.current / 1000);\n environment.metrics.averageLatency = environment.physics.networkLatency + \n environment.physics.processingDelay;\n }\n \n // Update resource utilization\n const serviceEntities = environment.entities.filter(e => e.type === 'service');\n for (const service of serviceEntities) {\n const load = service.state.load || 0;\n environment.metrics.resourceUtilization[service.id] = Math.min(load / 1000, 1.0);\n }\n }\n\n private generateSimulationResults(environment: SimulationEnvironment): SimulationResults {\n const duration = environment.time.current / 1000; // Convert to seconds\n const metrics = environment.metrics;\n \n return {\n duration,\n iterations: Math.floor(duration / (environment.time.step / 1000)),\n metrics: {\n requests: [metrics.totalRequests],\n successRate: [metrics.successfulRequests / Math.max(metrics.totalRequests, 1)],\n latency: [metrics.averageLatency],\n throughput: [metrics.throughput],\n errorRate: [metrics.failedRequests / Math.max(metrics.totalRequests, 1)]\n },\n insights: this.generateInsights(environment),\n recommendations: this.generateRecommendations(environment)\n };\n }\n\n private generateInsights(environment: SimulationEnvironment): string[] {\n const insights: string[] = [];\n const metrics = environment.metrics;\n \n if (metrics.failedRequests / Math.max(metrics.totalRequests, 1) > 0.05) {\n insights.push(\"High error rate detected - system may be overloaded\");\n }\n \n if (metrics.averageLatency > 1000) {\n insights.push(\"High latency detected - potential performance bottleneck\");\n }\n \n if (metrics.throughput < 100) {\n insights.push(\"Low throughput - system may need scaling\");\n }\n \n const maxUtilization = Math.max(...Object.values(metrics.resourceUtilization));\n if (maxUtilization > 0.8) {\n insights.push(\"High resource utilization - consider adding capacity\");\n }\n \n return insights;\n }\n\n private generateRecommendations(environment: SimulationEnvironment): string[] {\n const recommendations: string[] = [];\n const metrics = environment.metrics;\n \n if (metrics.failedRequests > 0) {\n recommendations.push(\"Implement circuit breakers and retry logic\");\n recommendations.push(\"Add health checks and monitoring\");\n }\n \n if (metrics.averageLatency > 500) {\n recommendations.push(\"Optimize database queries\");\n recommendations.push(\"Implement caching layer\");\n recommendations.push(\"Consider CDN for static assets\");\n }\n \n if (metrics.throughput < 500) {\n recommendations.push(\"Scale horizontally with load balancing\");\n recommendations.push(\"Optimize application performance\");\n }\n \n return recommendations;\n }\n\n private mapComponentTypeToEntityType(componentType: string): SimulationEntity['type'] {\n switch (componentType) {\n case 'service':\n case 'api':\n return 'service';\n case 'database':\n return 'database';\n case 'frontend':\n return 'service';\n default:\n return 'service';\n }\n }\n\n private calculateActivationTime(index: number, maxUsers: number, pattern: string, parameters: any): number {\n switch (pattern) {\n case 'constant':\n return 0;\n case 'ramp':\n const rampTime = parameters.rampUpTime || 300000; // 5 minutes\n return (index / maxUsers) * rampTime;\n case 'spike':\n return Math.random() * 60000; // Random within first minute\n case 'stress':\n return Math.random() * 10000; // Random within first 10 seconds\n default:\n return 0;\n }\n }\n}",[],[152,226,232],[152,226],[152],{"_104":241,"_95":242,"_153":243,"_155":-5,"_156":138,"_157":244,"_159":160,"_106":245,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":246,"_98":262},"1761fb0e-3c3b-11f0-b623-9e149126039e","shared","cd9b82ea-f886-498a-afda-41dcacca4eb4",2,["D",1748488494144],[247],{"_104":248,"_95":249,"_153":250,"_155":243,"_156":138,"_157":244,"_159":160,"_106":251,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":252,"_98":261},"1761fd02-3c3b-11f0-b623-9e149126039e","types","2f31643b-6b57-48b2-b6bb-c244aba25356",["D",1748488494144],[253],{"_104":254,"_95":255,"_153":256,"_155":250,"_156":138,"_157":244,"_159":160,"_106":257,"_100":32,"_162":186,"_164":258,"_165":22,"_166":-5,"_167":259,"_98":260},"1761db92-3c3b-11f0-b623-9e149126039e","core.ts","1761dc5a-3c3b-11f0-b623-9e149126039e",["D",1748488494144],"// Core SOARE type definitions\n\nexport interface SOARESystem {\n id: string;\n name: string;\n description: string;\n status: 'designing' | 'building' | 'running' | 'optimizing' | 'error';\n components: SystemComponent[];\n goals: SystemGoal[];\n metrics: SystemMetrics;\n createdAt: Date;\n updatedAt: Date;\n}\n\nexport interface SystemComponent {\n id: string;\n name: string;\n type: 'service' | 'database' | 'frontend' | 'api' | 'worker' | 'simulation';\n status: 'pending' | 'building' | 'running' | 'error';\n config: Record;\n dependencies: string[];\n resources: ResourceRequirements;\n code?: string;\n generatedBy: 'human' | 'ai' | 'hybrid';\n}\n\nexport interface SystemGoal {\n id: string;\n description: string;\n priority: 'low' | 'medium' | 'high' | 'critical';\n status: 'pending' | 'in_progress' | 'achieved' | 'failed';\n metrics: string[];\n constraints: string[];\n}\n\nexport interface SystemMetrics {\n performance: {\n latency: number;\n throughput: number;\n errorRate: number;\n availability: number;\n };\n resources: {\n cpu: number;\n memory: number;\n storage: number;\n network: number;\n };\n cost: {\n compute: number;\n storage: number;\n bandwidth: number;\n total: number;\n };\n}\n\nexport interface ResourceRequirements {\n cpu: number;\n memory: number;\n storage: number;\n gpu?: boolean;\n network?: 'low' | 'medium' | 'high';\n}\n\n// LLM and AI interfaces\nexport interface LLMRequest {\n prompt: string;\n context?: string;\n systemRole?: string;\n maxTokens?: number;\n temperature?: number;\n}\n\nexport interface LLMResponse {\n content: string;\n reasoning?: string;\n confidence: number;\n suggestions?: string[];\n}\n\nexport interface AIAgent {\n id: string;\n name: string;\n role: 'architect' | 'developer' | 'optimizer' | 'monitor' | 'analyst';\n capabilities: string[];\n currentTask?: string;\n status: 'idle' | 'thinking' | 'working' | 'waiting';\n}\n\n// Simulation interfaces\nexport interface SimulationModel {\n id: string;\n name: string;\n type: 'system' | 'environment' | 'user_behavior' | 'load_test';\n parameters: Record;\n state: Record;\n running: boolean;\n results?: SimulationResults;\n}\n\nexport interface SimulationResults {\n duration: number;\n iterations: number;\n metrics: Record;\n insights: string[];\n recommendations: string[];\n}\n\n// Real-time collaboration\nexport interface CollaborationSession {\n id: string;\n systemId: string;\n participants: Participant[];\n activeEdits: ActiveEdit[];\n chatHistory: ChatMessage[];\n createdAt: Date;\n}\n\nexport interface Participant {\n id: string;\n name: string;\n type: 'human' | 'ai';\n role: string;\n cursor?: { x: number; y: number };\n selection?: string;\n}\n\nexport interface ActiveEdit {\n id: string;\n participantId: string;\n componentId: string;\n type: 'code' | 'config' | 'architecture';\n changes: any;\n timestamp: Date;\n}\n\nexport interface ChatMessage {\n id: string;\n participantId: string;\n content: string;\n type: 'text' | 'code' | 'suggestion' | 'system';\n timestamp: Date;\n metadata?: Record;\n}\n\n// Event system\nexport interface SOAREEvent {\n id: string;\n type: string;\n source: string;\n data: any;\n timestamp: Date;\n processed: boolean;\n}\n\n// API interfaces\nexport interface APIResponse {\n success: boolean;\n data?: T;\n error?: string;\n metadata?: {\n timestamp: Date;\n processingTime: number;\n agent?: string;\n };\n}\n\nexport interface SystemDesignRequest {\n description: string;\n goals: string[];\n constraints?: string[];\n preferences?: {\n technology?: string[];\n architecture?: string;\n scalability?: 'small' | 'medium' | 'large' | 'global';\n budget?: 'low' | 'medium' | 'high';\n };\n}",[],[242,249,255],[242,249],[242],{"_104":264,"_95":265,"_153":266,"_155":-5,"_156":138,"_157":267,"_159":160,"_106":268,"_100":32,"_162":269,"_164":270,"_165":22,"_166":-5,"_167":271,"_98":272},"0c15a84a-3c3b-11f0-8239-9e149126039e","README.md","0c15a91c-3c3b-11f0-8239-9e149126039e",1,["D",1748488475192],"file","# SOARE: The Sentient Orchestration & Reality Engine\n\nA prototype implementation of an AI-powered platform that understands, designs, evolves, and interacts with applications and the real world.\n\n## Architecture Overview\n\nSOARE integrates 10 core components into a unified intelligent platform:\n\n### 🧠 The Core Brain & Understanding\n- **LLM Integration**: Central intelligence for reasoning, planning, and code generation\n- **Vector Database**: Semantic memory for knowledge storage and retrieval\n\n### 🔧 The Adaptive Foundation \n- **Dynamic Orchestration**: Intelligent deployment and scaling\n- **Meta-Kernel Simulation**: Adaptive execution environments\n\n### 🎨 The Creation & Evolution Engine\n- **Universal Compiler**: Multi-target code generation and optimization\n- **Collaborative Interface**: Real-time design and development canvas\n\n### 🌐 The Data & Event Nervous System\n- **Distributed State**: High-performance data persistence\n- **Stream Processing**: Real-time analytics and event handling\n\n### 🎮 The Real-World Interaction Layer\n- **Simulation Engine**: High-fidelity modeling and visualization\n- **Ultra-Responsive Control**: Real-time decision making and actuation\n\n## Project Structure\n\n```\n├── backend/\n│ ├── core/ # Core SOARE engine\n│ │ ├── brain/ # LLM and reasoning\n│ │ ├── memory/ # Vector database and storage\n│ │ ├── orchestrator/ # Dynamic system management\n│ │ └── compiler/ # Code generation and optimization\n│ ├── simulation/ # Reality modeling engine\n│ ├── streams/ # Real-time data processing\n│ └── index.ts # Main API entry point\n├── frontend/\n│ ├── components/\n│ │ ├── CollaborativeCanvas/ # Real-time design interface\n│ │ ├── SystemVisualizer/ # System state visualization\n│ │ ├── SimulationView/ # 3D simulation interface\n│ │ └── ChatInterface/ # LLM interaction\n│ ├── index.html\n│ └── index.tsx\n├── shared/\n│ ├── types/ # TypeScript interfaces\n│ └── utils/ # Shared utilities\n└── examples/ # Demo applications and use cases\n```\n\n## Key Features\n\n- **Natural Language System Design**: Describe systems in plain English, SOARE designs and implements them\n- **Self-Optimizing Applications**: Continuous performance monitoring and automatic optimization\n- **Real-time Collaboration**: Multiple users and AI agents working together on complex systems\n- **Digital Twin Creation**: High-fidelity simulations of real-world systems\n- **Adaptive Execution**: Dynamic resource allocation and environment optimization\n\n## Getting Started\n\n1. The main entry point is `/backend/index.ts` - an HTTP API that exposes SOARE's capabilities\n2. The frontend provides an interactive interface for system design and monitoring\n3. Examples demonstrate various SOARE capabilities and use cases\n\n## Current Implementation Status\n\nThis is a prototype demonstrating core SOARE concepts:\n- ✅ LLM integration for intelligent reasoning\n- ✅ Basic orchestration and system management\n- ✅ Real-time collaborative interface\n- ✅ Simple simulation capabilities\n- 🚧 Advanced compiler features (planned)\n- 🚧 Full vector database integration (planned)\n- 🚧 Complex real-world system modeling (planned)\n\n## Vision\n\nSOARE represents a new paradigm where humans define goals and constraints, while an intelligent system handles implementation details, making complex software development accessible and enabling rapid innovation across domains.",[],[265],"files",[150,169,175,181,191,198,207,214,224,230,240,247,253,263],"counts",{"_277":32,"_278":267,"_279":32,"_280":32},"pulls","branches","forks","envVars","contents",[283],{"_104":231,"_95":232,"_153":233,"_155":227,"_156":138,"_157":101,"_159":160,"_106":284,"_100":32,"_162":186,"_164":235,"_165":22,"_166":-5,"_98":285},["D",1748488739717],[152,226,232],{"_104":225,"_95":226,"_153":227,"_155":154,"_156":138,"_157":101,"_159":160,"_106":287,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_98":288},["D",1748488739717],[152,226],"upstreamProject","upstreamBranch","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name.branch.$branch.version.$version.code.$",{"_93":94,"_95":96,"_97":43,"_100":101,"_98":99,"_102":297,"_148":302,"_273":345,"_269":346,"_281":348,"_351":-5,"_352":22,"_353":-5,"_354":-5,"_355":-5,"_356":357},{"_104":105,"_95":96,"_106":298,"_108":-5,"_109":22,"_110":111,"_112":-5,"_113":-5,"_14":114,"_115":-5,"_116":22,"_117":-5,"_118":32,"_16":119,"_120":121,"_122":121,"_123":124,"_125":124,"_126":124,"_127":121,"_128":121,"_23":299,"_132":300,"_135":301,"_147":22},["D",1748488433650],{"_93":94,"_130":131},{"_93":94,"_134":131},{"_100":137,"_95":43,"_104":138,"_139":105,"_140":-5,"_141":-5,"_142":-5,"_143":-5,"_144":-5,"_145":96,"_146":94},[303,333,342],{"_104":151,"_95":152,"_153":154,"_155":-5,"_156":138,"_157":158,"_159":160,"_106":161,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":304,"_98":332},[305,326],{"_104":170,"_95":171,"_153":172,"_155":154,"_156":138,"_157":158,"_159":160,"_106":173,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":306,"_98":325},[307,313,319],{"_104":176,"_95":177,"_153":178,"_155":172,"_156":138,"_157":158,"_159":160,"_106":179,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":308,"_98":312},[309],{"_104":182,"_95":183,"_153":184,"_155":178,"_156":138,"_157":158,"_159":160,"_106":185,"_100":32,"_162":186,"_164":187,"_165":22,"_166":-5,"_167":310,"_98":311},[],[152,171,177,183],[152,171,177],{"_104":192,"_95":193,"_153":194,"_155":172,"_156":138,"_157":195,"_159":160,"_106":196,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":314,"_98":318},[315],{"_104":199,"_95":200,"_153":201,"_155":194,"_156":138,"_157":195,"_159":160,"_106":202,"_100":32,"_162":186,"_164":203,"_165":22,"_166":-5,"_167":316,"_98":317},[],[152,171,193,200],[152,171,193],{"_104":208,"_95":209,"_153":210,"_155":172,"_156":138,"_157":211,"_159":160,"_106":212,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":320,"_98":324},[321],{"_104":215,"_95":216,"_153":217,"_155":210,"_156":138,"_157":211,"_159":160,"_106":218,"_100":32,"_162":186,"_164":219,"_165":22,"_166":-5,"_167":322,"_98":323},[],[152,171,209,216],[152,171,209],[152,171],{"_104":225,"_95":226,"_153":227,"_155":154,"_156":138,"_157":101,"_159":160,"_106":228,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":327,"_98":331},[328],{"_104":231,"_95":232,"_153":233,"_155":227,"_156":138,"_157":101,"_159":160,"_106":234,"_100":32,"_162":186,"_164":235,"_165":22,"_166":-5,"_167":329,"_98":330},[],[152,226,232],[152,226],[152],{"_104":241,"_95":242,"_153":243,"_155":-5,"_156":138,"_157":244,"_159":160,"_106":245,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":334,"_98":341},[335],{"_104":248,"_95":249,"_153":250,"_155":243,"_156":138,"_157":244,"_159":160,"_106":251,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_167":336,"_98":340},[337],{"_104":254,"_95":255,"_153":256,"_155":250,"_156":138,"_157":244,"_159":160,"_106":257,"_100":32,"_162":186,"_164":258,"_165":22,"_166":-5,"_167":338,"_98":339},[],[242,249,255],[242,249],[242],{"_104":264,"_95":265,"_153":266,"_155":-5,"_156":138,"_157":267,"_159":160,"_106":268,"_100":32,"_162":269,"_164":270,"_165":22,"_166":-5,"_167":343,"_98":344},[],[265],[303,305,307,309,313,315,319,321,326,328,333,335,337,342],{"_104":225,"_95":226,"_153":227,"_155":154,"_156":138,"_157":101,"_159":160,"_106":287,"_100":32,"_162":163,"_164":-5,"_165":22,"_166":-5,"_98":347},[152,226],[349],{"_104":231,"_95":232,"_153":233,"_155":227,"_156":138,"_157":101,"_159":160,"_106":284,"_100":32,"_162":186,"_164":235,"_165":22,"_166":-5,"_98":350},[152,226,232],"upstream","showCompareCallout","pull","ahead","behind","templates",[],"actionData","errors"]