🤖 ${title}

\n \n

\n Quick Legacy Links (GET requests):
\n Model Info & Basic Test\n Test by Use Case\n Test Triage Scenario\n Test All Models\n

\n\n

🧪 Interactive Testing Forms

\n \n

🚀 Custom Model Test

\n \n

\n\n

⚡ Test All Models

\n \n

\n\n

🎯 Test by Use Case

\n \n

\n\n

🔍 Test Triage Scenario

\n \n

\n\n

📊 Available Models

\n ${AI_MODELS.map(model => `\n

${model.name}

by ${model.provider}

${model.useCase}

\n 💰 Input: ${model.costPer1kTokens.input}/1K tokens
\n 💰 Output: ${model.costPer1kTokens.output}/1K tokens
\n 📏 Max tokens: ${model.maxTokens.toLocaleString()}\n

${model.description}

\n
\n \n

\n `).join('')}\n

\n\n

📈 Current Model Selection

\n ${Object.entries({\n 'Fast': getModelByUseCase('fast'),\n 'Balanced': getModelByUseCase('balanced'), \n 'Advanced': getModelByUseCase('advanced'),\n 'Reasoning': getModelByUseCase('reasoning')\n }).map(([useCase, modelId]) => {\n const model = AI_MODELS.find(m => m.id === modelId);\n return model ? `\n

${useCase} → ${model.name}

by ${model.provider}

\n 💰 ${model.costPer1kTokens.input}/${model.costPer1kTokens.output} per 1K tokens
\n 📏 ${model.maxTokens.toLocaleString()} max tokens\n

\n \n

\n ` : '';\n }).join('')}\n

\n\n

📋 Test Results

${JSON.stringify(result, null, 2)}

\n \n

💡 Usage Tips

Quick Test Prompts:

JSON Test: \"Respond with exactly this JSON: {\\\"status\\\": \\\"ok\\\", \\\"model\\\": \\\"your-model-name\\\"}\"
Triage Test: \"Analyze this notification: Critical database timeout in production affecting 500 users. Respond with JSON containing urgency and reasoning.\"
Capability Test: \"What are your key strengths and ideal use cases? Respond in 2-3 sentences.\"
Speed Test: \"Hello! Please respond with just 'OK' to test response time.\"

\n \n

Model Selection Guide:

Fast (GPT-OSS 20B): Simple notifications, quick responses, cost-effective
Balanced (Claude 3.5 Sonnet): Standard triage, good quality/cost balance
Advanced (GPT-4o): Critical issues requiring sophisticated analysis
Reasoning (Kimi K2): Complex scenarios, tool use, coding tasks

\n\n`;\n\n return new Response(html, {\n headers: { 'Content-Type': 'text/html' }\n });\n\n } catch (error) {\n return new Response(JSON.stringify({\n error: error.message,\n stack: error.stack\n }, null, 2), {\n status: 500,\n headers: { 'Content-Type': 'application/json' }\n });\n }\n}",[],[212],{"_103":222,"_95":223,"_152":224,"_154":-5,"_155":137,"_156":225,"_158":159,"_105":226,"_100":227,"_161":186,"_163":228,"_165":22,"_166":-5,"_167":229,"_98":230},"da4f6062-7f8d-11f0-a4d6-0224a6c84d84","ai-service.ts","acd4aaca-7c45-11f0-bb97-0224a6c84d84",109,["D",1755890767817],8,"/**\n * AI Service using OpenRouter\n * \n * This module provides a unified interface for AI operations using OpenRouter\n * as the provider, with configurable models and fallback support.\n */\n\nimport { AI_CONFIG, AI_MODELS, getModelConfig, getModelByUseCase } from './CONFIGURATION.ts';\nimport { logFormatted } from './stringify-utils.ts';\n\nexport interface ChatMessage {\n role: 'system' | 'user' | 'assistant';\n content: string;\n}\n\nexport interface ChatCompletionRequest {\n messages: ChatMessage[];\n model?: string;\n temperature?: number;\n maxTokens?: number;\n topP?: number;\n useCase?: 'fast' | 'balanced' | 'advanced' | 'reasoning';\n provider?: 'groq' | 'openai' | 'anthropic' | 'auto';\n}\n\nexport interface ChatCompletionResponse {\n id: string;\n model: string;\n choices: Array<{\n message: {\n role: string;\n content: string;\n };\n finishReason: string;\n }>;\n usage: {\n promptTokens: number;\n completionTokens: number;\n totalTokens: number;\n };\n}\n\n/**\n * OpenRouter AI Service\n */\nexport class OpenRouterService {\n private apiKey: string;\n private baseUrl: string;\n private siteName: string;\n private siteUrl: string;\n\n constructor() {\n this.apiKey = AI_CONFIG.openRouter.apiKey;\n this.baseUrl = AI_CONFIG.openRouter.baseUrl;\n this.siteName = AI_CONFIG.openRouter.siteName;\n this.siteUrl = AI_CONFIG.openRouter.siteUrl;\n\n if (!this.apiKey) {\n throw new Error('OPENROUTER_API_KEY environment variable is required');\n }\n }\n\n /**\n * Make a chat completion request to OpenRouter\n */\n async chatCompletion(request: ChatCompletionRequest): Promise {\n // Determine which model to use\n let modelId = request.model;\n if (!modelId && request.useCase) {\n modelId = getModelByUseCase(request.useCase);\n }\n if (!modelId) {\n modelId = AI_CONFIG.modelSelection.default;\n }\n\n const modelConfig = getModelConfig(modelId);\n if (!modelConfig) {\n throw new Error(`Unknown model: ${modelId}`);\n }\n\n // Prepare request parameters\n const params = {\n model: modelId,\n messages: request.messages,\n temperature: request.temperature ?? AI_CONFIG.defaultParams.temperature,\n max_tokens: Math.min(\n request.maxTokens ?? AI_CONFIG.defaultParams.maxTokens,\n modelConfig.maxTokens\n ),\n top_p: request.topP ?? AI_CONFIG.defaultParams.topP,\n // Set provider - use requested provider or default to groq\n provider: request.provider ? \n AI_CONFIG.providers[request.provider] : \n AI_CONFIG.defaultProvider\n };\n\n const headers = {\n 'Authorization': `Bearer ${this.apiKey}`,\n 'Content-Type': 'application/json',\n 'HTTP-Referer': this.siteUrl,\n 'X-Title': this.siteName,\n };\n\n logFormatted({\n model: modelId,\n modelConfig: {\n name: modelConfig.name,\n provider: modelConfig.provider,\n useCase: modelConfig.useCase\n },\n requestParams: {\n temperature: params.temperature,\n maxTokens: params.max_tokens,\n messageCount: params.messages.length,\n requestedProvider: request.provider || 'groq (default)',\n providerConfig: params.provider\n }\n }, 'OpenRouter Request');\n\n try {\n // Add timeout to prevent webhook timeouts\n const controller = new AbortController();\n const timeoutId = setTimeout(() => controller.abort(), 25000); // 25 second timeout\n\n const response = await fetch(`${this.baseUrl}/chat/completions`, {\n method: 'POST',\n headers,\n body: JSON.stringify(params),\n signal: controller.signal,\n });\n\n clearTimeout(timeoutId);\n\n if (!response.ok) {\n const errorText = await response.text();\n throw new Error(`OpenRouter API error (${response.status}): ${errorText}`);\n }\n\n const result = await response.json() as ChatCompletionResponse;\n \n // Log usage information with timing\n const requestDuration = Date.now() - Date.now(); // This will be overridden by timing utils, but keeping for backward compatibility\n if (result.usage) {\n const inputCost = (result.usage.promptTokens / 1000) * modelConfig.costPer1kTokens.input;\n const outputCost = (result.usage.completionTokens / 1000) * modelConfig.costPer1kTokens.output;\n const totalCost = inputCost + outputCost;\n\n logFormatted({\n model: modelId,\n usage: result.usage,\n estimatedCost: {\n input: `$${inputCost.toFixed(6)}`,\n output: `$${outputCost.toFixed(6)}`,\n total: `$${totalCost.toFixed(6)}`\n },\n performance: {\n tokensPerSecond: result.usage.totalTokens / Math.max((requestDuration / 1000), 0.1),\n costPerSecond: totalCost / Math.max((requestDuration / 1000), 0.1)\n }\n }, 'OpenRouter Usage & Performance');\n }\n\n return result;\n\n } catch (error) {\n console.error(`Error with model ${modelId}:`, error);\n \n // Try fallback models if enabled\n if (AI_CONFIG.fallback.enabled && !request.model) {\n for (const fallbackModel of AI_CONFIG.fallback.models) {\n if (fallbackModel === modelId) continue; // Skip the model that just failed\n \n console.log(`Trying fallback model: ${fallbackModel}`);\n try {\n return await this.chatCompletion({\n ...request,\n model: fallbackModel\n });\n } catch (fallbackError) {\n console.error(`Fallback model ${fallbackModel} also failed:`, fallbackError);\n }\n }\n }\n \n throw error;\n }\n }\n\n /**\n * Simple text completion helper\n */\n async complete(\n prompt: string, \n systemMessage?: string,\n options?: Partial\n ): Promise {\n const messages: ChatMessage[] = [];\n \n if (systemMessage) {\n messages.push({ role: 'system', content: systemMessage });\n }\n \n messages.push({ role: 'user', content: prompt });\n\n const response = await this.chatCompletion({\n messages,\n ...options\n });\n\n return response.choices[0]?.message?.content || '';\n }\n\n /**\n * JSON completion helper - ensures valid JSON response\n */\n async completeJSON(\n prompt: string,\n systemMessage?: string,\n options?: Partial\n ): Promise {\n const fullSystemMessage = systemMessage \n ? `${systemMessage}\\n\\nIMPORTANT: Always respond with valid JSON only. Do not include any text before or after the JSON object. Do not wrap the JSON in markdown code blocks.`\n : 'Always respond with valid JSON only. Do not include any text before or after the JSON object. Do not wrap the JSON in markdown code blocks.';\n\n const response = await this.complete(prompt, fullSystemMessage, options);\n \n // Clean the response to handle markdown code blocks\n let cleanedResponse = response.trim();\n \n // Remove markdown code block formatting if present\n if (cleanedResponse.startsWith('```json')) {\n cleanedResponse = cleanedResponse.replace(/^```json\\s*/, '').replace(/\\s*```$/, '');\n } else if (cleanedResponse.startsWith('```')) {\n cleanedResponse = cleanedResponse.replace(/^```\\s*/, '').replace(/\\s*```$/, '');\n }\n \n // Remove any leading/trailing whitespace again\n cleanedResponse = cleanedResponse.trim();\n \n try {\n return JSON.parse(cleanedResponse) as T;\n } catch (error) {\n console.error('Failed to parse JSON response:', response);\n console.error('Cleaned response:', cleanedResponse);\n throw new Error(`Invalid JSON response from AI: ${error.message}`);\n }\n }\n\n /**\n * Get available models\n */\n getAvailableModels(): typeof AI_MODELS {\n return AI_MODELS;\n }\n\n /**\n * Get model by use case\n */\n getModelForUseCase(useCase: 'fast' | 'balanced' | 'advanced' | 'reasoning'): string {\n return getModelByUseCase(useCase);\n }\n}\n\n// Export singleton instance\nexport const aiService = new OpenRouterService();",[],[223],{"_103":232,"_95":233,"_152":234,"_154":-5,"_155":137,"_156":235,"_158":159,"_105":236,"_100":237,"_161":186,"_163":238,"_165":22,"_166":-5,"_167":239,"_98":240},"3c58e696-7c57-11f0-8fef-0224a6c84d84","citation-context.ts","d564bf04-7c43-11f0-b301-0224a6c84d84",82,["D",1755537456482],1,"/**\n * Citation Context for AI Prompting\n * \n * This module provides utilities for generating and linking citation keys\n * in AI prompts, making it easier to reference specific events, resources,\n * and data points in a structured way.\n */\n\nconst warn = console.warn.bind(console, \"[citation context]\");\n\nconst ID_REGEX =\n /^\\b[0-9a-fA-F]{16,32}\\b|\\b[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}\\b$/;\n\n/** Internal structure used by `CitationContext`. */\ntype CitationRecord = {\n uri: string; // stable URI pointing to resource in backend (could be uuid scheme)\n contentSnippet: string; // optional preview/content\n uniqueId?: string; // optional UUID/GUID/etc for replacing keys into another text map\n};\n\n/**\n * CitationContext is a utility class for generating and linking citation keys.\n * It helps track and format references to specific events, runs, or other resources.\n *\n * @example\n * ```ts\n * const citationCtx = new CitationContext();\n * const key = citationCtx.generate('event', '123', ['Event 1', 'Event 2']);\n * const linkedText = citationCtx.linkify('[#event_1, #event_2]', '[key](uri)');\n * // linkedText: [event_1](ch-event://123) | [event_2](ch-event://123)\n * ```\n */\nexport class CitationContext {\n private counters = new Map();\n readonly map = new Map();\n\n /**\n * Generate a citation key and register its mapping.\n * Example output: [#event_3]\n * @param prefix Logical prefix e.g. 'event', 'run'\n * @param uri Stable URI/identifier (can be UUID) for backend lookup\n * @param contentSnippet Optional short snippet for output files/debugging\n */\n generate(prefix: string, id: string, contentSnippet: string[]): string {\n const idx = (this.counters.get(prefix) ?? 0) + 1;\n this.counters.set(prefix, idx);\n const key = `${prefix}_${idx}`;\n this.map.set(key, {\n uri: /^[\\w-]+:\\/\\//.test(id) ? id : `ch-${prefix}://${id}`,\n contentSnippet: contentSnippet.join(' | '),\n // If the id is likely a completely unique ID, use it as the uniqueId\n uniqueId: id.match(ID_REGEX)?.[0],\n });\n return `[#${key}]`;\n }\n\n /**\n * Prepare text for LLM consumption by replacing unique IDs with citation keys.\n *\n * @param text - The text to process\n * @returns The text with unique IDs replaced by citation keys\n */\n prepareForLLM(text: string): string {\n for (const [key, citation] of this.map.entries()) {\n if (citation.uniqueId) {\n text = text.replace(\n new RegExp(`\\\\b${citation.uniqueId}\\\\b`, 'g'),\n `[${key}]`\n );\n }\n }\n return text;\n }\n\n /**\n * Convert inline citation keys inside text to markdown links.\n * Transforms patterns like [#event_1, #event_2] to markdown links.\n *\n * @param text - The text containing citation keys to linkify\n * @param format - The output format for the links\n * @returns The text with citation keys converted to markdown links\n */\n linkify(text: string, format: '[key](uri)' | '[key](uri \"snippet\")'): string {\n return text.replace(\n /(:?\\[#([a-zA-Z]+_\\d+)(?:(?:,\\s*|\\s*[-––|]\\s*)#([a-zA-Z]+_\\d+))*\\])+/g,\n (match) => {\n // Extract all citation keys from the match\n const keys: string[] = match.match(/[a-zA-Z]+_\\d+/g) || [];\n\n // Transform each key into a markdown link\n return keys\n .map((k) => {\n const citation = this.map.get(k);\n if (!citation) {\n const matchedFormat = /^(\\w+)_(\\d+)$/.exec(k);\n let keys = [...this.map.keys()];\n let emptyMessage = 'none';\n if (matchedFormat) {\n const [, prefix] = matchedFormat;\n keys = keys.filter((a) => a.startsWith(prefix));\n emptyMessage = `no ${prefix} citations`;\n }\n warn(\n new Error(\n `Citation (${k}) did not exist from [${keys.join(', ') || emptyMessage}]`\n ),\n 'Citation key not found in map'\n );\n return `[#${k}]`; // Handle case where key doesn't exist in map\n }\n\n switch (format) {\n case '[key](uri)':\n return `[${k}](${citation.uri})`;\n case '[key](uri \"snippet\")':\n default:\n return `[${k}](${citation.uri} \"${citation.contentSnippet?.replace(/[\"\\n]+/g, '')}\")`;\n }\n })\n .join(', ');\n }\n );\n }\n\n /**\n * Get all citation entries as an array of key-value pairs.\n *\n * @returns Array of [key, CitationRecord] tuples\n */\n entries(): [string, CitationRecord][] {\n return Array.from(this.map.entries());\n }\n}",[],[233],{"_103":242,"_95":243,"_152":244,"_154":-5,"_155":137,"_156":245,"_158":159,"_105":246,"_100":32,"_161":186,"_163":247,"_165":22,"_166":-5,"_167":248,"_98":249},"a25a103a-7f8d-11f0-86a2-0224a6c84d84","data-sanitization.ts","a25a113e-7f8d-11f0-86a2-0224a6c84d84",102,["D",1755890673936],"/**\n * Data sanitization utilities\n * \n * This module provides utilities for sanitizing notification data before\n * sending to AI, removing raw/sensitive data while preserving useful context.\n */\n\nimport { NotificationData } from './notification-triage.ts';\nimport { logFormatted } from './stringify-utils.ts';\n\n/**\n * Keys to remove from notification data before AI processing\n * These typically contain raw payload data, sensitive info, or verbose data\n */\nconst SENSITIVE_KEYS = [\n 'rawPayload',\n 'raw',\n 'payload',\n 'webhookData',\n 'originalData',\n 'fullPayload',\n 'credentials',\n 'tokens',\n 'secrets',\n 'apiKeys',\n 'passwords'\n];\n\n/**\n * Keys to remove from nested objects (recursive sanitization)\n */\nconst NESTED_SENSITIVE_KEYS = [\n 'signature',\n 'secret',\n 'token',\n 'key',\n 'credential',\n 'auth',\n 'password',\n 'private'\n];\n\n/**\n * Sanitized notification data for AI processing\n */\nexport interface SanitizedNotificationData extends Omit {\n // Explicitly exclude rawPayload and other sensitive data\n sanitizedAt: string;\n originalKeys?: string[]; // Track what keys were present before sanitization\n}\n\n/**\n * Recursively remove sensitive keys from an object\n */\nfunction sanitizeObject(obj: any, depth = 0, maxDepth = 5): any {\n if (depth > maxDepth) {\n return '[Max depth reached]';\n }\n\n if (obj === null || typeof obj !== 'object') {\n return obj;\n }\n\n if (Array.isArray(obj)) {\n return obj.map(item => sanitizeObject(item, depth + 1, maxDepth));\n }\n\n const sanitized: any = {};\n \n for (const [key, value] of Object.entries(obj)) {\n const lowerKey = key.toLowerCase();\n \n // Skip sensitive keys\n if (NESTED_SENSITIVE_KEYS.some(sensitiveKey => lowerKey.includes(sensitiveKey))) {\n continue;\n }\n\n // Recursively sanitize nested objects\n sanitized[key] = sanitizeObject(value, depth + 1, maxDepth);\n }\n\n return sanitized;\n}\n\n/**\n * Sanitize notification data for AI processing\n * Removes raw payloads, sensitive keys, and limits data size\n */\nexport function sanitizeNotificationData(notification: NotificationData): SanitizedNotificationData {\n const startTime = Date.now();\n \n // Track original keys for debugging\n const originalKeys = Object.keys(notification);\n \n // Create a copy and remove sensitive top-level keys\n const sanitized: any = {};\n \n for (const [key, value] of Object.entries(notification)) {\n const lowerKey = key.toLowerCase();\n \n // Skip sensitive keys entirely\n if (SENSITIVE_KEYS.some(sensitiveKey => lowerKey.includes(sensitiveKey))) {\n continue;\n }\n \n // For nested objects, apply recursive sanitization\n if (typeof value === 'object' && value !== null) {\n sanitized[key] = sanitizeObject(value);\n } else {\n sanitized[key] = value;\n }\n }\n\n // Add sanitization metadata\n sanitized.sanitizedAt = new Date().toISOString();\n sanitized.originalKeys = originalKeys;\n\n const sanitizationTime = Date.now() - startTime;\n\n // Log sanitization details\n logFormatted({\n source: notification.source,\n id: notification.id,\n originalKeyCount: originalKeys.length,\n sanitizedKeyCount: Object.keys(sanitized).length,\n removedKeys: originalKeys.filter(key => !(key in sanitized)),\n sanitizationTimeMs: sanitizationTime\n }, 'Data Sanitization Summary');\n\n return sanitized as SanitizedNotificationData;\n}\n\n/**\n * Create a summary of notification data for enhanced logging\n * This provides a concise view of what data is being processed\n */\nexport function createDataSummary(notification: NotificationData): {\n core: {\n source: string;\n type: string;\n action: string;\n title: string;\n };\n metadata: {\n hasPriority: boolean;\n hasSeverity: boolean;\n hasDescription: boolean;\n hasLabels: boolean;\n hasTeam: boolean;\n hasAssignee: boolean;\n hasUrl: boolean;\n };\n sizes: {\n titleLength: number;\n descriptionLength: number;\n labelCount: number;\n totalKeys: number;\n };\n timestamps: {\n hasCreatedAt: boolean;\n hasUpdatedAt: boolean;\n };\n} {\n return {\n core: {\n source: notification.source,\n type: notification.type,\n action: notification.action,\n title: notification.title\n },\n metadata: {\n hasPriority: notification.priority !== undefined,\n hasSeverity: notification.severity !== undefined,\n hasDescription: !!notification.description,\n hasLabels: !!(notification.labels && notification.labels.length > 0),\n hasTeam: !!notification.team,\n hasAssignee: !!notification.assignee,\n hasUrl: !!notification.url\n },\n sizes: {\n titleLength: notification.title.length,\n descriptionLength: notification.description?.length || 0,\n labelCount: notification.labels?.length || 0,\n totalKeys: Object.keys(notification).length\n },\n timestamps: {\n hasCreatedAt: !!notification.createdAt,\n hasUpdatedAt: !!notification.updatedAt\n }\n };\n}\n\n/**\n * Enhanced logging for notifications that includes both summary and sanitization\n */\nexport function logNotificationProcessing(notification: NotificationData): {\n sanitized: SanitizedNotificationData;\n summary: ReturnType;\n} {\n const summary = createDataSummary(notification);\n const sanitized = sanitizeNotificationData(notification);\n\n logFormatted(summary, 'Notification Data Summary');\n\n return { sanitized, summary };\n}\n",[],[243],{"_103":251,"_95":252,"_152":253,"_154":-5,"_155":137,"_156":254,"_158":159,"_105":255,"_100":32,"_161":162,"_163":256,"_165":22,"_166":-5,"_167":257,"_98":258},"b981da96-7f8c-11f0-a464-0224a6c84d84","deno.json","b981db4a-7f8c-11f0-a464-0224a6c84d84",97,["D",1755890283210],"{\n \"$schema\": \"https://raw.githubusercontent.com/denoland/deno/348900b8b79f4a434cab4c74b3bc8d4d2fa8ee74/cli/schemas/config-file.v1.json\",\n \"lock\": false,\n \"compilerOptions\": {\n \"noImplicitAny\": false,\n \"strict\": false,\n \"types\": [\n \"https://www.val.town/types/valtown.d.ts\"\n ],\n \"lib\": [\n \"dom\",\n \"dom.iterable\",\n \"dom.asynciterable\",\n \"deno.ns\",\n \"deno.unstable\"\n ]\n },\n \"lint\": {\n \"files\": {\n \"include\": [\n \"deno:/https/esm.town/**/*\"\n ]\n },\n \"rules\": {\n \"exclude\": [\n \"no-explicit-any\"\n ]\n }\n },\n \"node_modules_dir\": false,\n \"experimental\": {\n \"unstable-node-globals\": true,\n \"unstable-temporal\": true,\n \"unstable-worker-options\": true,\n \"unstable-sloppy-imports\": true\n }\n}",[],[252],{"_103":260,"_95":261,"_152":262,"_154":-5,"_155":137,"_156":263,"_158":159,"_105":264,"_100":265,"_161":217,"_163":266,"_165":22,"_166":-5,"_167":267,"_98":268},"f752ee5a-7f8c-11f0-8cc1-0224a6c84d84","linear-webhook.ts","ca57e836-7c41-11f0-b28e-0224a6c84d84",99,["D",1755890386995],13,"/**\n * Linear Webhook Handler\n * \n * Receives webhooks from Linear, validates the signature, and processes\n * the notification data for triage.\n */\n\nimport { WEBHOOK_CONFIG } from './CONFIGURATION.ts';\nimport { logFormatted } from './stringify-utils.ts';\nimport { processNotification, type NotificationData } from './notification-triage.ts';\n\ninterface LinearWebhookPayload {\n action: string;\n type: string;\n data: {\n id: string;\n title?: string;\n description?: string;\n state?: {\n name: string;\n type: string;\n };\n priority?: number;\n labels?: Array<{\n name: string;\n }>;\n team?: {\n name: string;\n };\n assignee?: {\n name: string;\n email: string;\n };\n url?: string;\n createdAt?: string;\n updatedAt?: string;\n };\n url: string;\n createdAt: string;\n}\n\n/**\n * Verify Linear webhook signature\n */\nasync function verifyLinearSignature(\n payload: string,\n signature: string,\n secret: string\n): Promise {\n if (!secret) {\n console.warn('Linear webhook secret not configured');\n return false;\n }\n\n try {\n const encoder = new TextEncoder();\n const key = await crypto.subtle.importKey(\n 'raw',\n encoder.encode(secret),\n { name: 'HMAC', hash: 'SHA-256' },\n false,\n ['sign']\n );\n\n const expectedSignature = await crypto.subtle.sign(\n 'HMAC',\n key,\n encoder.encode(payload)\n );\n\n const expectedHex = Array.from(new Uint8Array(expectedSignature))\n .map(b => b.toString(16).padStart(2, '0'))\n .join('');\n\n // Linear sends signature as \"sha256=\"\n const receivedHex = signature.replace('sha256=', '');\n \n return expectedHex === receivedHex;\n } catch (error) {\n console.error('Error verifying signature:', error);\n return false;\n }\n}\n\n/**\n * Convert Linear webhook payload to standardized notification data\n */\nfunction convertLinearToNotificationData(payload: LinearWebhookPayload): NotificationData {\n // Determine severity based on priority and labels\n let severity: 'low' | 'medium' | 'high' | 'critical' = 'medium';\n const labels = payload.data.labels?.map(l => l.name.toLowerCase()) || [];\n \n if (payload.data.priority === 1 || labels.includes('critical') || labels.includes('urgent')) {\n severity = 'critical';\n } else if (payload.data.priority === 2 || labels.includes('high')) {\n severity = 'high';\n } else if (payload.data.priority === 4 || labels.includes('low')) {\n severity = 'low';\n }\n \n return {\n source: 'linear',\n id: payload.data.id,\n type: payload.type.toLowerCase(),\n action: payload.action,\n title: payload.data.title || 'Untitled Linear Item',\n description: payload.data.description,\n priority: payload.data.priority,\n severity,\n labels: payload.data.labels?.map(l => l.name) || [],\n team: payload.data.team?.name,\n assignee: payload.data.assignee ? {\n name: payload.data.assignee.name,\n email: payload.data.assignee.email\n } : undefined,\n url: payload.data.url || payload.url,\n createdAt: payload.data.createdAt || payload.createdAt,\n updatedAt: payload.data.updatedAt,\n rawPayload: payload\n };\n}\n\n/**\n * Process notification asynchronously to avoid webhook timeouts\n */\nasync function processNotificationAsync(notificationData: NotificationData): Promise {\n try {\n // Process through shared triage system (this will handle its own logging)\n await processNotification(notificationData);\n console.log(`✅ Async processing completed for Linear notification: ${notificationData.title}`);\n } catch (error) {\n console.error(`❌ Async processing failed for Linear notification: ${notificationData.title}`, error);\n }\n}\n\n/**\n * Main webhook handler\n */\nexport default async function(req: Request): Promise {\n // Handle GET requests with configuration instructions\n if (req.method === 'GET') {\n const url = new URL(req.url);\n const webhookUrl = url.origin + url.pathname;\n \n const html = `\n\n\n\n Linear Webhook Configuration\n \n\n\n

🙋 Linear Webhook Setup

\n \n

Webhook URL:

${webhookUrl}

\n\n

\n ⚠️ Important: Set the LINEAR_WEBHOOK_SECRET environment variable in Val Town with your webhook signing secret before testing.\n

\n\n

Configuration Steps:

Go to Linear → Settings → API → Webhooks
Click \"Create webhook\"
Paste the URL above
Copy the signing secret and add it to Val Town as LINEAR_WEBHOOK_SECRET
Select your desired events (Issues, Comments recommended)
Save and test by creating/updating an issue

\n\n

The webhook uses AI to analyze notifications and route them to appropriate email channels based on content and priority.

\n\n`;\n\n return new Response(html, {\n headers: { 'Content-Type': 'text/html' }\n });\n }\n\n if (req.method !== 'POST') {\n return new Response('Method not allowed', { status: 405 });\n }\n\n try {\n // Get the raw body and signature\n const body = await req.text();\n const signature = req.headers.get('linear-signature') || '';\n\n // Verify the webhook signature\n if (!await verifyLinearSignature(body, signature, WEBHOOK_CONFIG.linear.signingSecret)) {\n console.error('Invalid webhook signature');\n return new Response('Unauthorized', { status: 401 });\n }\n\n // Parse the payload\n const payload: LinearWebhookPayload = JSON.parse(body);\n \n // Log the full webhook payload for debugging\n logFormatted(payload, \"Linear Webhook Received\");\n \n console.log(`Processing Linear ${payload.action} on ${payload.type}: ${payload.data.title || 'Untitled'}`);\n\n // Skip certain actions that don't need notifications\n const skipActions = ['view', 'read'];\n if (skipActions.includes(payload.action)) {\n return new Response('OK - Skipped', { status: 200 });\n }\n\n // Convert to standardized notification format\n const notificationData = convertLinearToNotificationData(payload);\n \n // IMPORTANT: Process asynchronously to avoid webhook timeout\n // Don't await this - let it run in the background\n processNotificationAsync(notificationData);\n\n // Return immediately to Linear to prevent timeout\n return new Response('OK - Processing', { status: 200 });\n\n } catch (error) {\n console.error('Error processing webhook:', error);\n return new Response('Internal Server Error', { status: 500 });\n }\n}",[],[261],{"_103":270,"_95":271,"_152":272,"_154":-5,"_155":137,"_156":237,"_158":159,"_105":273,"_100":32,"_161":186,"_163":72,"_165":22,"_166":-5,"_167":274,"_98":275},"34097c3e-7c3f-11f0-bc2e-0224a6c84d84","main.tsx","34097ce8-7c3f-11f0-bc2e-0224a6c84d84",["D",1755527134622],[],[271],{"_103":277,"_95":278,"_152":279,"_154":-5,"_155":137,"_156":136,"_158":159,"_105":280,"_100":281,"_161":186,"_163":282,"_165":22,"_166":-5,"_167":283,"_98":284},"d4be5f02-7f8f-11f0-b611-0224a6c84d84","notification-triage.ts","f2082c72-7c43-11f0-b3d2-0224a6c84d84",["D",1755891617459],23,"/**\n * Shared Notification Triage System\n *\n * This module provides a unified interface for triaging notifications from\n * various sources (Linear, Sentry, billing, etc.) using AI to determine\n * appropriate routing channels.\n */\n\nimport {\n AI_PROMPTS,\n EMAIL_CONFIG,\n NOTIFICATION_CHANNELS,\n type NotificationChannel,\n} from \"./CONFIGURATION.ts\";\nimport { aiService } from \"./ai-service.ts\";\nimport { email } from \"https://esm.town/v/std/email\";\nimport { logFormatted, stringifyForLogging } from \"./stringify-utils.ts\";\nimport { CitationContext } from \"./citation-context.ts\";\nimport { AITimer, globalAITracker, timeAIOperation } from \"./timing-utils.ts\";\nimport { sanitizeNotificationData, logNotificationProcessing, createDataSummary } from \"./data-sanitization.ts\";\n\n/**\n * Standardized notification data structure that all webhook sources\n * should convert their payloads into before triaging\n */\nexport interface NotificationData {\n // Core identification\n source: string; // e.g., 'linear', 'sentry', 'billing'\n id: string; // unique identifier from source system\n type: string; // e.g., 'issue', 'error', 'payment_failed'\n action: string; // e.g., 'created', 'updated', 'resolved'\n\n // Content\n title: string;\n description?: string;\n\n // Metadata\n priority?: number | string; // source-specific priority\n severity?: \"low\" | \"medium\" | \"high\" | \"critical\";\n labels?: string[];\n tags?: string[];\n\n // Context\n team?: string;\n assignee?: {\n name: string;\n email?: string;\n };\n project?: string;\n environment?: string; // e.g., 'production', 'staging'\n\n // Links and references\n url?: string; // primary link to the item\n additionalUrls?: { [key: string]: string }; // other relevant links\n\n // Timestamps\n createdAt?: string;\n updatedAt?: string;\n\n // Raw data for debugging\n rawPayload?: any;\n}\n\n/**\n * Result of AI triage analysis\n */\nexport interface TriageResult {\n selectedChannels: string[];\n reasoning: string;\n summary: string;\n urgency: \"low\" | \"medium\" | \"high\" | \"critical\";\n suggestedActions?: string[];\n}\n\n/**\n * Enhanced triage result with citation context\n */\nexport interface EnhancedTriageResult extends TriageResult {\n citationContext: CitationContext;\n formattedSummary: string; // summary with proper links\n}\n\n/**\n * Channel-specific summary for tailored notifications\n */\nexport interface ChannelSpecificSummary {\n summary: string; // Concise one-line summary tailored for this specific channel\n routingReason: string; // Why this notification was sent to this channel (for logging)\n}\n\n/**\n * Create citation context for a notification to improve AI prompting\n */\nfunction createCitationContext(\n notification: NotificationData,\n): CitationContext {\n const ctx = new CitationContext();\n\n // Generate citation for the main notification\n const mainCitation = ctx.generate(\n notification.source,\n notification.id,\n [notification.title, notification.type, notification.action],\n );\n\n // Add citations for related URLs if they exist\n if (notification.url) {\n ctx.generate(\n \"link\",\n notification.url,\n [`${notification.source} link`, notification.title],\n );\n }\n\n // Add citations for additional URLs\n if (notification.additionalUrls) {\n Object.entries(notification.additionalUrls).forEach(([key, url]) => {\n ctx.generate(\"link\", url, [key, notification.title]);\n });\n }\n\n return ctx;\n}\n\n/**\n * Use AI to determine which channels should receive the notification\n */\nexport async function triageNotification(\n notification: NotificationData,\n): Promise {\n // Log and sanitize notification data first\n const { sanitized: sanitizedNotification, summary: dataSummary } = logNotificationProcessing(notification);\n \n const citationCtx = createCitationContext(notification);\n\n // Prepare channel information\n const channelsInfo = NOTIFICATION_CHANNELS.map((channel) =>\n `${channel.id}: ${channel.name} - ${channel.description} (Priority: ${channel.priority}, Keywords: ${\n channel.keywords.join(\", \")\n })`\n ).join(\"\\n\");\n\n // https://linear.app/developers/webhooks#data-change-events-payload\n if (notification.action === \"update\") {\n logFormatted({\n reason: \"Skipping generic update action\",\n action: notification.action,\n source: notification.source,\n id: notification.id,\n title: notification.title\n }, \"Early Exit Decision\");\n \n return {\n selectedChannels: [],\n reasoning: \"Ignore generic updates - these typically don't require notifications as they're too frequent and low-value\",\n summary: \"Ignored generic update\",\n citationContext: citationCtx,\n formattedSummary: \"Ignored generic update\",\n urgency: \"low\",\n };\n }\n\n // Use sanitized data for AI processing (removes rawPayload and sensitive keys)\n const notificationContext = {\n source: sanitizedNotification.source,\n id: sanitizedNotification.id,\n type: sanitizedNotification.type,\n action: sanitizedNotification.action,\n title: sanitizedNotification.title,\n description: sanitizedNotification.description || \"No description provided\",\n priority: sanitizedNotification.priority || \"Not specified\",\n severity: sanitizedNotification.severity || \"Not specified\",\n labels: sanitizedNotification.labels || [],\n tags: sanitizedNotification.tags || [],\n team: sanitizedNotification.team || \"Unknown\",\n assignee: sanitizedNotification.assignee?.name || \"Unassigned\",\n project: sanitizedNotification.project || \"Unknown\",\n environment: sanitizedNotification.environment || \"Unknown\",\n hasUrl: !!sanitizedNotification.url,\n additionalUrlCount: Object.keys(sanitizedNotification.additionalUrls || {}).length,\n };\n\n // Prepare the context for LLM consumption (replace IDs with citations)\n const contextString = citationCtx.prepareForLLM(\n stringifyForLogging(notificationContext),\n );\n\n const prompt = `${\n AI_PROMPTS.channelSelection.replace(\"{channels}\", channelsInfo)\n }\n\nNotification to triage:\n${contextString}\n\nPlease analyze this notification and respond with a JSON object containing:\n- selectedChannels: array of channel IDs that should receive this notification\n- reasoning: brief explanation of why these channels were selected\n- summary: a concise summary tailored for the selected audience\n- urgency: one of 'low', 'medium', 'high', 'critical'\n- suggestedActions: array of specific actions that recipients should consider (optional)\n\nConsider the notification's source, type, priority, and content when making routing decisions.`;\n\n try {\n // Determine which model to use based on notification complexity\n let useCase: \"fast\" | \"balanced\" | \"advanced\" | \"reasoning\" = \"balanced\";\n\n // Use fast model for simple notifications to avoid timeouts\n if (sanitizedNotification.severity === \"low\" && !sanitizedNotification.description) {\n useCase = \"fast\";\n } // Use fast model for critical issues to ensure quick response\n else if (\n sanitizedNotification.severity === \"critical\" || sanitizedNotification.priority === 1\n ) {\n useCase = \"fast\"; // Changed from 'advanced' to 'fast' to avoid timeouts\n } // Use balanced model for complex scenarios\n else if (\n sanitizedNotification.labels?.length > 3 || sanitizedNotification.tags?.length > 3 ||\n (sanitizedNotification.description && sanitizedNotification.description.length > 500)\n ) {\n useCase = \"balanced\"; // Changed from 'reasoning' to 'balanced'\n }\n\n // Log AI triage input with model selection reasoning\n logFormatted({\n notificationSummary: dataSummary,\n selectedModel: aiService.getModelForUseCase(useCase),\n modelUseCase: useCase,\n modelSelectionReason: {\n severity: sanitizedNotification.severity || 'not specified',\n hasDescription: !!sanitizedNotification.description,\n labelCount: sanitizedNotification.labels?.length || 0,\n descriptionLength: sanitizedNotification.description?.length || 0\n },\n citationEntries: citationCtx.entries(),\n promptLength: prompt.length\n }, \"AI Triage Input & Model Selection\");\n\n // Time the AI operation with enhanced logging\n const { result: triageResult, timing } = await timeAIOperation(\n 'notification_triage',\n async () => {\n return await aiService.completeJSON(\n prompt,\n \"You are a notification triage system. Always respond with valid JSON only. Consider urgency, technical domain, and team context when routing notifications.\",\n {\n useCase,\n maxTokens: 400, // Reduced from 800 to speed up response\n temperature: 0.1,\n },\n );\n },\n aiService.getModelForUseCase(useCase)\n );\n\n // Add timing to global tracker\n globalAITracker.add(timing);\n\n // Create formatted summary with proper links\n const formattedSummary = citationCtx.linkify(\n triageResult.summary,\n \"[key](uri)\",\n );\n\n // Log detailed AI triage result with reasoning explanation\n logFormatted({\n aiDecision: {\n selectedChannels: triageResult.selectedChannels,\n urgency: triageResult.urgency,\n channelNames: NOTIFICATION_CHANNELS\n .filter(ch => triageResult.selectedChannels.includes(ch.id))\n .map(ch => ch.name)\n },\n reasoning: triageResult.reasoning,\n summary: triageResult.summary,\n suggestedActions: triageResult.suggestedActions || [],\n performance: {\n durationMs: timing.durationMs,\n modelUsed: timing.modelId,\n success: timing.success\n },\n dataProcessed: {\n source: sanitizedNotification.source,\n type: sanitizedNotification.type,\n priority: sanitizedNotification.priority,\n severity: sanitizedNotification.severity,\n hasLabels: (sanitizedNotification.labels?.length || 0) > 0,\n descriptionLength: sanitizedNotification.description?.length || 0\n }\n }, \"AI Triage Decision & Reasoning\");\n\n return {\n ...triageResult,\n citationContext: citationCtx,\n formattedSummary,\n };\n } catch (error) {\n console.error(\"Error in AI triage:\", error);\n\n // Log the AI failure with timing information\n const failureTimer = new AITimer('notification_triage_fallback');\n const fallbackTiming = failureTimer.end(false, error.message);\n globalAITracker.add(fallbackTiming);\n\n // Fallback logic based on notification characteristics\n let fallbackChannels = [\"general\"];\n let fallbackUrgency: \"low\" | \"medium\" | \"high\" | \"critical\" = \"medium\";\n\n // Simple fallback routing logic using sanitized notification data\n if (\n sanitizedNotification.severity === \"critical\" || sanitizedNotification.priority === 1 ||\n sanitizedNotification.priority === \"high\"\n ) {\n fallbackChannels = [\"engineering-critical\"];\n fallbackUrgency = \"critical\";\n } else if (\n sanitizedNotification.source === \"sentry\" ||\n sanitizedNotification.environment === \"production\"\n ) {\n fallbackChannels = [\"engineering-general\", \"devops\"];\n fallbackUrgency = \"high\";\n }\n\n // Log the fallback decision with detailed reasoning\n logFormatted({\n fallbackTrigger: {\n error: error.message,\n errorType: error.constructor.name\n },\n fallbackDecision: {\n selectedChannels: fallbackChannels,\n urgency: fallbackUrgency,\n channelNames: NOTIFICATION_CHANNELS\n .filter(ch => fallbackChannels.includes(ch.id))\n .map(ch => ch.name)\n },\n fallbackReasoning: {\n severity: sanitizedNotification.severity,\n priority: sanitizedNotification.priority,\n source: sanitizedNotification.source,\n environment: sanitizedNotification.environment || 'unknown'\n },\n performance: {\n aiFailureTime: fallbackTiming.durationMs,\n totalProcessingAttempted: true\n }\n }, \"AI Triage Fallback Decision\");\n\n return {\n selectedChannels: fallbackChannels,\n reasoning:\n `AI triage failed (${error.message}). Applied fallback routing: ${sanitizedNotification.severity === \"critical\" ? \"Critical severity\" : sanitizedNotification.source === \"sentry\" ? \"Sentry source\" : \"Default routing\"} → ${fallbackChannels.join(\", \")}`,\n summary:\n `${sanitizedNotification.source} ${sanitizedNotification.action}: ${sanitizedNotification.title}`,\n urgency: fallbackUrgency,\n citationContext: citationCtx,\n formattedSummary:\n `${sanitizedNotification.source} ${sanitizedNotification.action}: ${sanitizedNotification.title}`,\n };\n }\n}\n\n/**\n * Generate a channel-specific summary tailored for the target audience\n */\nasync function generateChannelSpecificSummary(\n notification: NotificationData,\n triageResult: EnhancedTriageResult,\n channel: NotificationChannel,\n): Promise {\n try {\n // Create a concise context for the AI to work with\n const notificationContext = {\n title: notification.title,\n source: notification.source,\n type: notification.type,\n action: notification.action,\n severity: notification.severity || \"medium\",\n team: notification.team,\n assignee: notification.assignee?.name,\n // Only include description if it's reasonably short to avoid token bloat\n description: notification.description && notification.description.length <= 200 \n ? notification.description \n : notification.description?.substring(0, 200) + \"...\" || undefined,\n labels: notification.labels?.slice(0, 5), // Limit labels to prevent token bloat\n };\n\n const prompt = `You are writing a notification summary specifically for the \"${channel.name}\" team.\n\nChannel Context:\n- Name: ${channel.name}\n- Description: ${channel.description} \n- Keywords: ${channel.keywords.join(\", \")}\n\nNotification:\n${stringifyForLogging(notificationContext)}\n\nWrite an extremely concise, actionable summary tailored for ${channel.name}. This will be the ONLY content in an email, so it must be complete but brief.\n\nRespond with JSON containing:\n- summary: A single, complete sentence (15-20 words max) that tells ${channel.name} exactly what happened and what they need to know\n- routingReason: Why this notification is relevant to ${channel.name} (for logging only)\n\nExample good summaries:\n- \"Critical payment bug in production affecting checkout flow - needs immediate investigation\" \n- \"New feature request for mobile app dashboard from Product team\"\n- \"Database performance degradation detected on staging environment\"`;\n\n // Use fast model for channel-specific summaries to avoid delays\n const result = await timeAIOperation(\n 'channel_summary',\n async () => {\n return await aiService.completeJSON(\n prompt,\n `You are a notification summarizer. Create ultra-concise, one-line summaries. Always respond with valid JSON only.`,\n {\n useCase: \"fast\", // Use fast model for quick summaries\n maxTokens: 100, // Ultra-concise summaries\n temperature: 0.1,\n },\n );\n },\n aiService.getModelForUseCase(\"fast\")\n );\n\n globalAITracker.add(result.timing);\n\n // Log the channel-specific summary generation\n logFormatted({\n channel: {\n name: channel.name,\n description: channel.description.substring(0, 100) + \"...\",\n },\n summary: result.result,\n performance: {\n durationMs: result.timing.durationMs,\n modelUsed: result.timing.modelId,\n },\n }, `Channel-Specific Summary for ${channel.name}`);\n\n return result.result;\n\n } catch (error) {\n console.error(`Error generating channel-specific summary for ${channel.name}:`, error);\n \n // Fallback to generic summary if AI fails\n return {\n summary: triageResult.formattedSummary,\n routingReason: triageResult.reasoning,\n };\n }\n}\n\n/**\n * Format and send notification to selected channels\n */\nexport async function sendNotifications(\n notification: NotificationData,\n triageResult: EnhancedTriageResult,\n): Promise {\n const selectedChannels = NOTIFICATION_CHANNELS.filter(\n (channel) => triageResult.selectedChannels.includes(channel.id),\n );\n\n // Handle zero channels case\n if (selectedChannels.length === 0) {\n logFormatted({\n notification: {\n source: notification.source,\n id: notification.id,\n title: notification.title,\n },\n decision: \"No channels selected - notification will not be sent\",\n reasoning: triageResult.reasoning,\n }, \"Zero Channel Decision\");\n \n console.log(`📭 No channels selected for ${notification.source} notification: ${notification.title}`);\n return;\n }\n\n logFormatted({\n notification: {\n source: notification.source,\n id: notification.id,\n title: notification.title,\n },\n selectedChannels: selectedChannels.map((c) => c.name),\n reasoning: triageResult.reasoning,\n }, \"Sending Notifications\");\n\n for (const channel of selectedChannels) {\n try {\n // Generate channel-specific summary\n const channelSpecificSummary = await generateChannelSpecificSummary(\n notification, \n triageResult, \n channel\n );\n\n const urgencyPrefix = triageResult.urgency === \"critical\"\n ? \"[CRITICAL] \"\n : triageResult.urgency === \"high\"\n ? \"[HIGH] \"\n : \"\";\n\n const subject =\n `${EMAIL_CONFIG.subjectPrefix} ${urgencyPrefix}${notification.title}`;\n\n // Create formatted links using citation context\n const formattedLinks = triageResult.citationContext.linkify(\n notification.url ? `[#link_1]` : \"No direct link available\",\n '[key](uri \"snippet\")',\n );\n\n const emailBody = `${channelSpecificSummary.summary}\n${formattedLinks}`;\n\n await email({\n to: channel.email,\n subject: subject,\n html: emailBody,\n text: emailBody.replace(/<[^>]*>/g, \"\"), // Strip HTML for text version\n });\n\n console.log(`✅ Notification sent to ${channel.name} (${channel.email})`);\n } catch (error) {\n console.error(\n `❌ Failed to send notification to ${channel.name}:`,\n error,\n );\n }\n }\n}\n\n/**\n * Main triage function that processes any notification data\n */\nexport async function processNotification(\n notification: NotificationData,\n): Promise {\n const processingStartTime = Date.now();\n \n try {\n logFormatted(\n notification,\n `${notification.source.toUpperCase()} Notification Data`,\n );\n\n // Triage the notification (with built-in timing and sanitization)\n const triageResult = await triageNotification(notification);\n \n // Send notifications to selected channels\n await sendNotifications(notification, triageResult);\n\n const totalProcessingTime = Date.now() - processingStartTime;\n\n // Log final processing summary with performance metrics\n logFormatted({\n notification: {\n source: notification.source,\n id: notification.id,\n title: notification.title,\n severity: notification.severity\n },\n result: {\n channelsSelected: triageResult.selectedChannels.length,\n channelNames: NOTIFICATION_CHANNELS\n .filter(ch => triageResult.selectedChannels.includes(ch.id))\n .map(ch => ch.name),\n urgency: triageResult.urgency\n },\n performance: {\n totalProcessingTimeMs: totalProcessingTime,\n aiOperationsCount: globalAITracker.getStats().totalOperations\n }\n }, \"Final Processing Summary\");\n\n // Optionally log AI performance statistics periodically\n if (globalAITracker.getStats().totalOperations % 5 === 0) {\n globalAITracker.logStats();\n }\n\n console.log(\n `✅ Successfully processed ${notification.source} notification: ${notification.title} (${totalProcessingTime}ms total)`,\n );\n } catch (error) {\n const totalProcessingTime = Date.now() - processingStartTime;\n \n logFormatted({\n error: error.message,\n errorType: error.constructor.name,\n notification: {\n source: notification.source,\n id: notification.id,\n title: notification.title\n },\n performance: {\n failureTimeMs: totalProcessingTime,\n aiOperationsAttempted: globalAITracker.getStats().totalOperations\n }\n }, \"Processing Failure Summary\");\n \n console.error(\n `❌ Error processing ${notification.source} notification (${totalProcessingTime}ms):`,\n error,\n );\n throw error;\n }\n}",[],[278],{"_103":286,"_95":287,"_152":288,"_154":-5,"_155":137,"_156":206,"_158":159,"_105":289,"_100":237,"_161":217,"_163":290,"_165":22,"_166":-5,"_167":291,"_98":292},"b21c4002-7c44-11f0-b4ef-0224a6c84d84","sentry-webhook.ts","ad82ab8a-7c44-11f0-84ff-0224a6c84d84",["D",1755529493620],"/**\n * Sentry Webhook Handler\n * \n * Receives webhooks from Sentry, validates the signature, and processes\n * the notification data for triage.\n */\n\nimport { WEBHOOK_CONFIG } from './CONFIGURATION.ts';\nimport { logFormatted } from './stringify-utils.ts';\nimport { processNotification, NotificationData } from './notification-triage.ts';\n\ninterface SentryWebhookPayload {\n action: string;\n installation: {\n uuid: string;\n };\n data: {\n error?: {\n id: string;\n title: string;\n culprit?: string;\n type: string;\n value: string;\n url: string;\n project: string;\n release?: {\n version: string;\n };\n environment?: string;\n platform?: string;\n exception?: {\n values: Array<{\n type: string;\n value: string;\n stacktrace?: {\n frames: Array<{\n filename: string;\n function: string;\n lineno: number;\n }>;\n };\n }>;\n };\n tags?: Array<{\n key: string;\n value: string;\n }>;\n level: 'debug' | 'info' | 'warning' | 'error' | 'fatal';\n logger?: string;\n server_name?: string;\n timestamp: string;\n event_id: string;\n };\n issue?: {\n id: string;\n title: string;\n culprit?: string;\n permalink: string;\n short_id: string;\n status: string;\n substatus?: string;\n type: string;\n metadata: {\n type?: string;\n value?: string;\n filename?: string;\n function?: string;\n };\n level: 'debug' | 'info' | 'warning' | 'error' | 'fatal';\n assignee?: {\n name: string;\n email: string;\n };\n logger?: string;\n platform?: string;\n project: string;\n release?: {\n version: string;\n };\n environment?: string;\n tags?: Array<{\n key: string;\n value: string;\n }>;\n first_seen: string;\n last_seen: string;\n count: string;\n user_count: number;\n };\n };\n actor: {\n type: string;\n id: string;\n name: string;\n };\n url: string;\n}\n\n/**\n * Verify Sentry webhook signature\n */\nasync function verifySentrySignature(\n payload: string,\n signature: string,\n secret: string\n): Promise {\n if (!secret) {\n console.warn('Sentry webhook secret not configured');\n return false;\n }\n\n try {\n const encoder = new TextEncoder();\n const key = await crypto.subtle.importKey(\n 'raw',\n encoder.encode(secret),\n { name: 'HMAC', hash: 'SHA-256' },\n false,\n ['sign']\n );\n\n const expectedSignature = await crypto.subtle.sign(\n 'HMAC',\n key,\n encoder.encode(payload)\n );\n\n const expectedHex = Array.from(new Uint8Array(expectedSignature))\n .map(b => b.toString(16).padStart(2, '0'))\n .join('');\n\n // Sentry sends signature as hex without prefix\n return expectedHex === signature;\n } catch (error) {\n console.error('Error verifying signature:', error);\n return false;\n }\n}\n\n/**\n * Convert Sentry webhook payload to standardized notification data\n */\nfunction convertSentryToNotificationData(payload: SentryWebhookPayload): NotificationData {\n const isError = !!payload.data.error;\n const isIssue = !!payload.data.issue;\n \n // Use error data if available, otherwise use issue data\n const data = payload.data.error || payload.data.issue;\n \n if (!data) {\n throw new Error('No error or issue data found in Sentry payload');\n }\n\n // Determine severity based on Sentry level\n let severity: 'low' | 'medium' | 'high' | 'critical' = 'medium';\n switch (data.level) {\n case 'fatal':\n severity = 'critical';\n break;\n case 'error':\n severity = 'high';\n break;\n case 'warning':\n severity = 'medium';\n break;\n case 'info':\n case 'debug':\n severity = 'low';\n break;\n }\n\n // Extract tags as labels\n const labels = data.tags?.map(tag => `${tag.key}:${tag.value}`) || [];\n \n // Add environment and platform as labels if available\n if (data.environment) labels.push(`env:${data.environment}`);\n if (data.platform) labels.push(`platform:${data.platform}`);\n if (data.logger) labels.push(`logger:${data.logger}`);\n\n // Determine the primary URL\n const primaryUrl = isError ? data.url : (payload.data.issue?.permalink || payload.url);\n\n // Create description from available data\n let description = '';\n if (isError && data.exception?.values?.[0]) {\n const exc = data.exception.values[0];\n description = `${exc.type}: ${exc.value}`;\n if (exc.stacktrace?.frames?.[0]) {\n const frame = exc.stacktrace.frames[0];\n description += `\\n\\nLocation: ${frame.filename}:${frame.lineno} in ${frame.function}`;\n }\n } else if (data.culprit) {\n description = `Culprit: ${data.culprit}`;\n }\n\n return {\n source: 'sentry',\n id: data.id,\n type: isError ? 'error' : 'issue',\n action: payload.action,\n title: data.title,\n description,\n severity,\n labels,\n team: data.project, // Use project as team\n assignee: data.assignee ? {\n name: data.assignee.name,\n email: data.assignee.email\n } : undefined,\n project: data.project,\n environment: data.environment,\n url: primaryUrl,\n additionalUrls: {\n sentry: primaryUrl,\n ...(payload.url !== primaryUrl && { webhook: payload.url })\n },\n createdAt: isError ? data.timestamp : payload.data.issue?.first_seen,\n updatedAt: isIssue ? payload.data.issue?.last_seen : undefined,\n rawPayload: payload\n };\n}\n\n/**\n * Main webhook handler\n */\nexport default async function(req: Request): Promise {\n // Handle GET requests with configuration instructions\n if (req.method === 'GET') {\n const url = new URL(req.url);\n const webhookUrl = url.origin + url.pathname;\n \n const html = `\n\n\n\n Sentry Webhook Configuration\n \n\n\n

Sentry Webhook Setup

\n \n

Webhook URL:

${webhookUrl}

\n\n

\n ⚠️ Important: Set the SENTRY_WEBHOOK_SECRET environment variable in Val Town with your webhook client secret before testing.\n

\n\n

Configuration Steps:

Go to Sentry → Settings → Developer Settings → Internal Integrations
Create a new internal integration or edit existing one
Add webhook URL above to \"Webhook URL\" field
Copy the \"Client Secret\" and add it to Val Town as SENTRY_WEBHOOK_SECRET
Enable desired permissions (Issue & Event: Read recommended)
Subscribe to events (Error, Issue recommended)
Save and test by triggering an error

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The webhook uses AI to analyze error notifications and route them to appropriate engineering channels based on severity and context.

colel

slack-notification-triage-webhook