\n \n

Welcome to Chatter

Loading your conversations

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\n API Key\n

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\n Get your API key from console.groq.com/keys\n

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\n Base URL\n \n

\n The base OpenAI-compatible endpoint to use. See the Groq documentation.\n

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Models

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\n Active\n Display Name\n Capabilities\n Actions\n

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\n No models configured. Click \"Add Model\" to get started.\n

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\n API Key\n

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\n Get your API key from platform.openai.com\n

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\n Base URL\n \n

\n Default: https://api.openai.com/v1\n

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Models

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\n Active\n Display Name\n Capabilities\n Actions\n

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\n No models configured. Click \"Add Model\" to get started.\n

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\n API Key\n

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\n Get your API key from console.anthropic.com\n

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\n Base URL\n \n

\n Default: https://api.anthropic.com/v1\n

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Models

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\n Active\n Display Name\n Capabilities\n Actions\n

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\n No models configured. Click \"Add Model\" to get started.\n

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\n",[],[195,1067,1068,1078,1143,1135],"settings","3bc06210-ef19-11f0-872f-42dde27851f2","3bc062a6-ef19-11f0-872f-42dde27851f2",147,["D",1768155210411]," \n

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Data Management

Export Data

Download all your chats and settings.

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Import Data

Restore from a backup file.

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Clear Data

Permanently remove all chats.

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Behavior

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\n Enable auto-save\n

Automatically save your chats as you type.

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\n Show welcome message\n

Display the welcome screen when starting a new chat.

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\n Enable streaming\n

Stream responses in real-time. Disable for easier debugging.

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\n Auto-scroll messages\n

Automatically scroll to the latest message. Disable to stay at your current position.

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\n\n",[],[195,1067,1068,1078,1143,1152],"3bb713ea-ef19-11f0-872f-42dde27851f2","appearance.html","3bb7149e-ef19-11f0-872f-42dde27851f2",146,["D",1768155210348]," \n

Theme

Choose how Chatter looks to you. Select a single theme, or sync with your system.

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\n Currently using theme based on your system preference.\n

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\n\n",[],[195,1067,1068,1078,1143,1160],"3b26eb76-ef19-11f0-af6a-42dde27851f2",133,["D",1768155209402],[280,281,282,283],[195,1067,1068,1078,1143],"3bec76fc-ef19-11f0-8520-42dde27851f2","3bec77c4-ef19-11f0-8520-42dde27851f2","3b3bc3c0-ef19-11f0-8520-42dde27851f2",153,["D",1768155210701]," \n \n \n \n \n \n",[],[195,1067,1068,1078,1180,1114],"right-sidebar","3b3bc2da-ef19-11f0-8520-42dde27851f2",134,["D",1768155209541],[278],[195,1067,1068,1078,1180],"3bfceca8-ef19-11f0-9a7f-42dde27851f2","template-editor.html","3bfced48-ef19-11f0-9a7f-42dde27851f2","3b4f093a-ef19-11f0-8902-42dde27851f2",156,["D",1768155210809]," \n

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Templates

Select a template from the sidebar or create a new one to get started.

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Configure your template settings below. These can be applied to any chat.

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\n Template Name\n \n

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\n Default Model\n

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\n System Prompt\n \n

\n The system prompt defines the AI's persona and behavior for this template.\n

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Model Parameters

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\n Temperature\n \n

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\n Precise\n Creative\n

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\n Max Tokens\n \n

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\n 256\n 16384\n

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\n Top P\n \n

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\n Frequency Penalty\n \n

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\n Presence Penalty\n \n

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\n",[],[195,1067,1068,1078,16,1187],"3c00ac8a-ef19-11f0-8520-42dde27851f2","messages.html","3c00ad20-ef19-11f0-8520-42dde27851f2",157,["D",1768155210833]," \n

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Welcome to Chatter

Select a chat from the sidebar or create a new one to get started.

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\n",[],[195,1067,1068,1078,16,1196],"3c0943a4-ef19-11f0-8419-42dde27851f2","input.html","3c09444e-ef19-11f0-8419-42dde27851f2",159,["D",1768155210855]," \n

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\n",[],[195,1067,1068,1078,16,1204],"3c0edfc6-ef19-11f0-b4c0-42dde27851f2","header.html","3c0ee05c-ef19-11f0-b4c0-42dde27851f2",160,["D",1768155210891],"

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\n \n",[],[195,1067,1068,1078,16,1212],"3b4f0868-ef19-11f0-8902-42dde27851f2",135,["D",1768155209668],[273,274,275,276],[195,1067,1068,1078,16],"3afd41f4-ef19-11f0-8902-42dde27851f2",131,["D",1768155209121],[272,277,279,284,288,289,290,291],[195,1067,1068,1078],"3ad989f8-ef19-11f0-b740-42dde27851f2","3ac8d180-ef19-11f0-b740-42dde27851f2",130,["D",1768155208900],[271,292],[195,1067,1068],"3ac8d0c2-ef19-11f0-b740-42dde27851f2",129,["D",1768155208773],[270],[195,1067],"3d0b5706-ef19-11f0-872f-42dde27851f2","threads.js","0bba70e2-e2e9-11f0-b141-42dde27851f2","0a3a8036-e2e9-11f0-9dc9-42dde27851f2",195,["D",1768155211274],"// =============================================================================\n// THREADS - Per-chat/thread state management and message parsing\n// =============================================================================\n// Each chat is a \"thread\" (like email threads). Manages thread state, \n// tracks job status, handles blockers, and provides message parsing\n// to extract reasoning/thinking tokens from various API formats.\n//\n// An \"orchestrator\" (to be built later) will manage multiple threads.\n\nvar THREADS_KEY = 'chatapp-threads';\n\n// Job status enum\nvar JobStatus = {\n PENDING: 'pending', // Job created, waiting to start\n RUNNING: 'running', // Job actively processing\n STREAMING: 'streaming', // Job streaming response\n BLOCKED: 'blocked', // Job blocked by a blocker (e.g., missing API key)\n COMPLETED: 'completed', // Job finished successfully\n ERROR: 'error', // Job failed with an error\n CANCELLED: 'cancelled', // Job was manually cancelled\n PAUSED: 'paused' // Job paused, can be resumed\n};\n\n// Blocker types\nvar BlockerType = {\n API_KEY_MISSING: 'api_key_missing',\n RATE_LIMIT: 'rate_limit',\n NETWORK_ERROR: 'network_error',\n PROVIDER_ERROR: 'provider_error',\n DEPENDENCY_FAILED: 'dependency_failed'\n};\n\n// Event types emitted by thread manager\nvar ThreadEvent = {\n JOB_CREATED: 'job:created',\n JOB_STARTED: 'job:started',\n JOB_STREAMING: 'job:streaming',\n JOB_PROGRESS: 'job:progress',\n JOB_COMPLETED: 'job:completed',\n JOB_FAILED: 'job:failed',\n JOB_BLOCKED: 'job:blocked',\n JOB_UNBLOCKED: 'job:unblocked',\n JOB_CANCELLED: 'job:cancelled',\n JOB_PAUSED: 'job:paused',\n JOB_RESUMED: 'job:resumed',\n BLOCKER_ADDED: 'blocker:added',\n BLOCKER_RESOLVED: 'blocker:resolved',\n STATE_CHANGED: 'state:changed'\n};\n\n// For backwards compatibility\nvar OrchestratorEvent = ThreadEvent;\n\nexport { JobStatus, BlockerType, ThreadEvent, OrchestratorEvent };\n\n// =============================================================================\n// MESSAGE PARSER - Extract reasoning, thinking, tool calls from various formats\n// =============================================================================\n\nexport function parseMessage(message) {\n if (!message) return null;\n \n var content = message.content || '';\n var reasoning = message.reasoning || null;\n var tools = message.tools || message.executedTools || [];\n \n // Parsed result object\n var parsed = {\n // Original message (kept intact for API calls)\n raw: message,\n \n // Clean content (for display, without think tags)\n content: content,\n \n // Extracted reasoning/thinking (for separate display)\n reasoning: reasoning,\n \n // Thinking extracted from content tags\n thinking: null,\n \n // Tool calls\n tools: Array.isArray(tools) ? tools : [],\n \n // Message role\n role: message.role || 'assistant',\n \n // Flags\n hasReasoning: !!reasoning,\n hasThinking: false,\n hasTools: Array.isArray(tools) && tools.length > 0\n };\n \n // Extract ... tags (Claude, some other models)\n var thinkTagMatch = content.match(/([\\s\\S]*?)<\\/think>/i);\n if (thinkTagMatch) {\n parsed.thinking = thinkTagMatch[1].trim();\n parsed.content = content.replace(/[\\s\\S]*?<\\/think>/gi, '').trim();\n parsed.hasThinking = true;\n }\n \n // Extract [think]...[/think] tags (alternative format)\n var thinkBracketMatch = content.match(/\\[think\\]([\\s\\S]*?)\\[\\/think\\]/i);\n if (thinkBracketMatch) {\n parsed.thinking = (parsed.thinking || '') + thinkBracketMatch[1].trim();\n parsed.content = parsed.content.replace(/\\[think\\][\\s\\S]*?\\[\\/think\\]/gi, '').trim();\n parsed.hasThinking = true;\n }\n \n // Extract ... tags (another variant)\n var thinkingTagMatch = content.match(/([\\s\\S]*?)<\\/thinking>/i);\n if (thinkingTagMatch) {\n parsed.thinking = (parsed.thinking || '') + thinkingTagMatch[1].trim();\n parsed.content = parsed.content.replace(/[\\s\\S]*?<\\/thinking>/gi, '').trim();\n parsed.hasThinking = true;\n }\n \n // Extract ```thinking ... ``` blocks\n var thinkingCodeMatch = content.match(/```thinking\\n?([\\s\\S]*?)```/i);\n if (thinkingCodeMatch) {\n parsed.thinking = (parsed.thinking || '') + thinkingCodeMatch[1].trim();\n parsed.content = parsed.content.replace(/```thinking\\n?[\\s\\S]*?```/gi, '').trim();\n parsed.hasThinking = true;\n }\n \n // If we have separate reasoning field from API, merge with thinking\n if (reasoning && !parsed.thinking) {\n parsed.thinking = reasoning;\n parsed.hasThinking = true;\n } else if (reasoning && parsed.thinking) {\n // Both exist - keep them separate but note it\n parsed.hasReasoning = true;\n }\n \n return parsed;\n}\n\n// Parse all messages in an array, returning both raw (for API) and parsed (for display)\nexport function parseMessages(messages) {\n if (!Array.isArray(messages)) return { raw: [], parsed: [] };\n \n return {\n // Raw messages for API calls (unchanged)\n raw: messages,\n \n // Parsed messages for display\n parsed: messages.map(function(msg) {\n if (msg.role === 'user') {\n // User messages don't need parsing\n return {\n raw: msg,\n content: msg.content,\n role: 'user',\n hasReasoning: false,\n hasThinking: false,\n hasTools: false\n };\n }\n return parseMessage(msg);\n })\n };\n}\n\n// Get display content for a message (clean, without think tags)\nexport function getDisplayContent(message) {\n var parsed = parseMessage(message);\n return parsed ? parsed.content : (message.content || '');\n}\n\n// Get thinking/reasoning for a message\nexport function getThinking(message) {\n var parsed = parseMessage(message);\n return parsed ? (parsed.thinking || parsed.reasoning) : null;\n}\n\nexport function createThreadsMixin() {\n return {\n // ==========================================================================\n // THREADS STATE\n // ==========================================================================\n \n threads: {\n // All tracked jobs: Map-like object { jobId: JobState }\n jobs: {},\n \n // Active blockers: Map-like object { blockerId: BlockerState }\n blockers: {},\n \n // Job dependencies: { jobId: [dependencyJobIds] }\n dependencies: {},\n \n // Event listeners: { eventType: [callbacks] }\n listeners: {},\n \n // Stats\n // Job dependencies: { jobId: [dependencyJobIds] }\n dependencies: {},\n \n // Event listeners: { eventType: [callbacks] }\n listeners: {},\n \n // Stats\n stats: {\n totalJobs: 0,\n completedJobs: 0,\n failedJobs: 0,\n blockedJobs: 0,\n activeJobs: 0,\n pendingJobs: 0,\n cancelledJobs: 0\n }\n },\n \n // Backwards compatibility alias\n get orchestrator() {\n return this.threads;\n },\n \n // ==========================================================================\n // INITIALIZATION\n // ==========================================================================\n \n initThreads: function() {\n console.log('[Threads] Initializing...');\n this.loadThreadsState();\n this.updateThreadsStats();\n \n var stats = this.threads.stats;\n console.log('[Threads] Initialized with', Object.keys(this.threads.jobs).length, 'jobs');\n console.log('[Threads] Stats:', \n 'active:', stats.activeJobs,\n 'blocked:', stats.blockedJobs, \n 'pending:', stats.pendingJobs,\n 'completed:', stats.completedJobs,\n 'failed:', stats.failedJobs\n );\n \n // Log all jobs for debugging\n if (Object.keys(this.threads.jobs).length > 0) {\n console.log('[Threads] All jobs:', this.threads.jobs);\n }\n },\n \n // Backwards compatibility\n initOrchestrator: function() {\n return this.initThreads();\n },\n \n loadThreadsState: function() {\n try {\n // Try new key first, fall back to old key for migration\n var stored = localStorage.getItem(THREADS_KEY) || localStorage.getItem('chatapp-orchestrator');\n if (stored) {\n var parsed = JSON.parse(stored);\n // Restore jobs but reset any \"running\" jobs to \"pending\" (they were interrupted)\n if (parsed.jobs) {\n var self = this;\n Object.keys(parsed.jobs).forEach(function(jobId) {\n var job = parsed.jobs[jobId];\n if (job.status === JobStatus.RUNNING || job.status === JobStatus.STREAMING) {\n job.status = JobStatus.PENDING;\n job.interruptedAt = Date.now();\n }\n self.threads.jobs[jobId] = job;\n });\n }\n if (parsed.blockers) {\n this.threads.blockers = parsed.blockers;\n }\n if (parsed.dependencies) {\n this.threads.dependencies = parsed.dependencies;\n }\n }\n } catch (e) {\n console.warn('[Threads] Failed to load state:', e);\n }\n },\n \n saveThreadsState: function() {\n try {\n var data = {\n jobs: this.threads.jobs,\n blockers: this.threads.blockers,\n dependencies: this.threads.dependencies,\n savedAt: Date.now()\n };\n localStorage.setItem(THREADS_KEY, JSON.stringify(data));\n // Clean up old key if it exists\n localStorage.removeItem('chatapp-orchestrator');\n } catch (e) {\n console.warn('[Threads] Failed to save state:', e);\n }\n },\n \n // Backwards compatibility\n loadOrchestratorState: function() {\n return this.loadThreadsState();\n },\n saveOrchestratorState: function() {\n return this.saveThreadsState();\n },\n \n // ==========================================================================\n // JOB MANAGEMENT\n // ==========================================================================\n \n // Create a new job and register it with the orchestrator\n createThreadJob: function(chatId, type, input, options) {\n options = options || {};\n \n // Clear old error/blocked jobs for this chat when creating a new job\n // This prevents stale error indicators from showing\n this.clearOldErrorJobsForChat(chatId);\n \n var jobId = 'job-' + Date.now() + '-' + Math.random().toString(36).substr(2, 9);\n \n var job = {\n id: jobId,\n chatId: chatId,\n type: type,\n input: input,\n status: JobStatus.PENDING,\n createdAt: Date.now(),\n updatedAt: Date.now(),\n startedAt: null,\n completedAt: null,\n result: null,\n error: null,\n blocker: null,\n progress: 0,\n metadata: options.metadata || {},\n retryCount: 0,\n maxRetries: options.maxRetries || 3\n };\n \n this.threads.jobs[jobId] = job;\n this.threads.stats.totalJobs++;\n \n // Handle dependencies\n if (options.dependsOn && options.dependsOn.length > 0) {\n this.threads.dependencies[jobId] = options.dependsOn;\n }\n \n this.updateThreadsStats();\n this.saveOrchestratorState();\n this.emitThreadEvent(OrchestratorEvent.JOB_CREATED, job);\n \n console.log('[Threads] Created job:', jobId, 'for chat:', chatId);\n \n return job;\n },\n \n // Clear old error/blocked jobs for a chat (called when creating new job)\n clearOldErrorJobsForChat: function(chatId) {\n var self = this;\n var jobsToRemove = Object.keys(this.threads.jobs)\n .map(function(id) { return self.threads.jobs[id]; })\n .filter(function(job) { \n return job.chatId === chatId && \n (job.status === JobStatus.ERROR || job.status === JobStatus.BLOCKED);\n });\n \n jobsToRemove.forEach(function(job) {\n delete self.threads.jobs[job.id];\n console.log('[Threads] Cleared old error job:', job.id);\n });\n \n if (jobsToRemove.length > 0) {\n this.updateThreadsStats();\n }\n },\n \n // Get a job by ID\n getThreadJob: function(jobId) {\n return this.threads.jobs[jobId] || null;\n },\n \n // Get all jobs for a specific chat\n getJobsForChat: function(chatId) {\n var self = this;\n return Object.keys(this.threads.jobs)\n .map(function(id) { return self.threads.jobs[id]; })\n .filter(function(job) { return job.chatId === chatId; })\n .sort(function(a, b) { return b.createdAt - a.createdAt; });\n },\n \n // Get the latest job for a chat\n getLatestJobForChat: function(chatId) {\n var jobs = this.getJobsForChat(chatId);\n return jobs.length > 0 ? jobs[0] : null;\n },\n \n // Update job status\n updateJobStatus: function(jobId, status, data) {\n var job = this.threads.jobs[jobId];\n if (!job) {\n console.warn('[Threads] Job not found:', jobId);\n return null;\n }\n \n var previousStatus = job.status;\n job.status = status;\n job.updatedAt = Date.now();\n \n // Handle status-specific updates\n if (status === JobStatus.RUNNING || status === JobStatus.STREAMING) {\n job.startedAt = job.startedAt || Date.now();\n this.threads.stats.activeJobs++;\n } else if (status === JobStatus.COMPLETED) {\n job.completedAt = Date.now();\n job.result = data && data.result;\n \n // Store parsed message data if result exists\n if (job.result) {\n job.parsed = parseMessage(job.result);\n }\n \n this.threads.stats.completedJobs++;\n if (previousStatus === JobStatus.RUNNING || previousStatus === JobStatus.STREAMING) {\n this.threads.stats.activeJobs = Math.max(0, this.threads.stats.activeJobs - 1);\n }\n } else if (status === JobStatus.ERROR) {\n job.completedAt = Date.now();\n job.error = data && data.error;\n this.threads.stats.failedJobs++;\n if (previousStatus === JobStatus.RUNNING || previousStatus === JobStatus.STREAMING) {\n this.threads.stats.activeJobs = Math.max(0, this.threads.stats.activeJobs - 1);\n }\n } else if (status === JobStatus.BLOCKED) {\n job.blocker = data && data.blocker;\n this.threads.stats.blockedJobs++;\n if (previousStatus === JobStatus.RUNNING || previousStatus === JobStatus.STREAMING) {\n this.threads.stats.activeJobs = Math.max(0, this.threads.stats.activeJobs - 1);\n }\n } else if (status === JobStatus.CANCELLED) {\n job.completedAt = Date.now();\n if (previousStatus === JobStatus.RUNNING || previousStatus === JobStatus.STREAMING) {\n this.threads.stats.activeJobs = Math.max(0, this.threads.stats.activeJobs - 1);\n }\n }\n \n // Merge any additional data\n if (data) {\n if (data.progress !== undefined) job.progress = data.progress;\n if (data.metadata) Object.assign(job.metadata, data.metadata);\n }\n \n this.updateThreadsStats();\n this.saveOrchestratorState();\n \n // Emit appropriate event\n var eventMap = {};\n eventMap[JobStatus.RUNNING] = OrchestratorEvent.JOB_STARTED;\n eventMap[JobStatus.STREAMING] = OrchestratorEvent.JOB_STREAMING;\n eventMap[JobStatus.COMPLETED] = OrchestratorEvent.JOB_COMPLETED;\n eventMap[JobStatus.ERROR] = OrchestratorEvent.JOB_FAILED;\n eventMap[JobStatus.BLOCKED] = OrchestratorEvent.JOB_BLOCKED;\n eventMap[JobStatus.CANCELLED] = OrchestratorEvent.JOB_CANCELLED;\n eventMap[JobStatus.PAUSED] = OrchestratorEvent.JOB_PAUSED;\n \n var eventType = eventMap[status];\n if (eventType) {\n this.emitThreadEvent(eventType, job);\n }\n \n console.log('[Threads] Job', jobId, 'status:', previousStatus, '->', status);\n \n // Log full job object when completed\n if (status === JobStatus.COMPLETED) {\n console.log('[Threads] Job completed, full state:', job);\n }\n \n return job;\n },\n \n // Update job progress (for streaming)\n updateJobProgress: function(jobId, progress, content) {\n var job = this.threads.jobs[jobId];\n if (!job) return;\n \n job.progress = progress;\n job.updatedAt = Date.now();\n if (content !== undefined) {\n job.metadata.streamedContent = content;\n }\n \n this.emitThreadEvent(OrchestratorEvent.JOB_PROGRESS, {\n job: job,\n progress: progress,\n content: content\n });\n },\n \n // ==========================================================================\n // JOB CONTROLS\n // ==========================================================================\n \n // Start a pending job\n startJob: function(jobId) {\n var job = this.threads.jobs[jobId];\n if (!job) {\n console.warn('[Threads] Cannot start: job not found:', jobId);\n return false;\n }\n \n if (job.status !== JobStatus.PENDING && job.status !== JobStatus.PAUSED) {\n console.warn('[Threads] Cannot start job in status:', job.status);\n return false;\n }\n \n // Check for blockers\n var blocker = this.checkJobBlockers(jobId);\n if (blocker) {\n this.updateJobStatus(jobId, JobStatus.BLOCKED, { blocker: blocker });\n return false;\n }\n \n // Check dependencies\n if (!this.checkDependencies(jobId)) {\n console.log('[Threads] Job has unmet dependencies:', jobId);\n return false;\n }\n \n this.updateJobStatus(jobId, JobStatus.RUNNING);\n return true;\n },\n \n // Cancel a job\n cancelJob: function(jobId) {\n var job = this.threads.jobs[jobId];\n if (!job) return false;\n \n if (job.status === JobStatus.COMPLETED || job.status === JobStatus.CANCELLED) {\n console.warn('[Threads] Cannot cancel job in status:', job.status);\n return false;\n }\n \n this.updateJobStatus(jobId, JobStatus.CANCELLED);\n \n // If there's a backend job, cancel it too\n if (job.metadata.backendJobId && this.jobs && this.jobs.cancelJob) {\n this.jobs.cancelJob(job.metadata.backendJobId);\n }\n \n return true;\n },\n \n // Pause a running job\n pauseJob: function(jobId) {\n var job = this.threads.jobs[jobId];\n if (!job) return false;\n \n if (job.status !== JobStatus.RUNNING && job.status !== JobStatus.STREAMING) {\n console.warn('[Threads] Cannot pause job in status:', job.status);\n return false;\n }\n \n this.updateJobStatus(jobId, JobStatus.PAUSED);\n return true;\n },\n \n // Resume a paused job\n resumeJob: function(jobId) {\n var job = this.threads.jobs[jobId];\n if (!job) return false;\n \n if (job.status !== JobStatus.PAUSED && job.status !== JobStatus.BLOCKED) {\n console.warn('[Threads] Cannot resume job in status:', job.status);\n return false;\n }\n \n // Check if blockers are resolved\n var blocker = this.checkJobBlockers(jobId);\n if (blocker) {\n console.log('[Threads] Job still blocked:', blocker.type);\n return false;\n }\n \n this.updateJobStatus(jobId, JobStatus.PENDING);\n return this.startJob(jobId);\n },\n \n // Retry a failed job\n retryJob: function(jobId) {\n var job = this.threads.jobs[jobId];\n if (!job) return false;\n \n if (job.status !== JobStatus.ERROR && job.status !== JobStatus.BLOCKED) {\n console.warn('[Threads] Cannot retry job in status:', job.status);\n return false;\n }\n \n if (job.retryCount >= job.maxRetries) {\n console.warn('[Threads] Max retries exceeded for job:', jobId);\n return false;\n }\n \n job.retryCount++;\n job.error = null;\n job.blocker = null;\n \n this.updateJobStatus(jobId, JobStatus.PENDING);\n \n this.emitThreadEvent(OrchestratorEvent.JOB_RESUMED, job);\n \n return this.startJob(jobId);\n },\n \n // ==========================================================================\n // BLOCKER MANAGEMENT\n // ==========================================================================\n \n // Check if a job has any blockers\n checkJobBlockers: function(jobId) {\n var job = this.threads.jobs[jobId];\n if (!job) return null;\n \n var provider = job.input && job.input.provider;\n if (!provider) {\n // Try to determine provider from model\n var model = job.input && job.input.model;\n if (model) {\n if (model.includes('/')) {\n provider = model.split('/')[0];\n } else if (model.startsWith('gpt') || model.startsWith('o1') || model.startsWith('o3') || model.startsWith('o4')) {\n provider = 'openai';\n } else if (model.startsWith('claude')) {\n provider = 'anthropic';\n } else {\n provider = 'groq';\n }\n }\n }\n \n // Skip API key check if:\n // 1. Provider is custom (may not need API key) - includes custom, custom2, custom3, etc.\n // 2. API key is provided in job input (passed directly to backend)\n // 3. Base URL is provided (custom endpoint may not need API key)\n if ((provider && provider.startsWith('custom')) || job.input.apiKey || job.input.baseUrl) {\n // Let the backend handle authentication - it will return proper error if needed\n return null;\n }\n \n // Check API key for standard providers (groq, openai, anthropic)\n if (provider && this.apiKeys) {\n var apiKey = this.apiKeys[provider];\n if (!apiKey || apiKey.trim().length === 0) {\n return {\n id: 'blocker-' + Date.now(),\n type: BlockerType.API_KEY_MISSING,\n provider: provider,\n message: provider.charAt(0).toUpperCase() + provider.slice(1) + ' API key is missing',\n createdAt: Date.now()\n };\n }\n }\n \n return null;\n },\n \n // Add a global blocker\n addBlocker: function(type, data) {\n var blockerId = 'blocker-' + Date.now();\n var blocker = {\n id: blockerId,\n type: type,\n data: data,\n createdAt: Date.now(),\n resolvedAt: null\n };\n \n this.threads.blockers[blockerId] = blocker;\n this.saveOrchestratorState();\n this.emitThreadEvent(OrchestratorEvent.BLOCKER_ADDED, blocker);\n \n return blocker;\n },\n \n // Resolve a blocker\n resolveBlocker: function(blockerId) {\n var blocker = this.threads.blockers[blockerId];\n if (!blocker) return false;\n \n blocker.resolvedAt = Date.now();\n delete this.threads.blockers[blockerId];\n \n this.saveOrchestratorState();\n this.emitThreadEvent(OrchestratorEvent.BLOCKER_RESOLVED, blocker);\n \n // Check if any blocked jobs can now proceed\n this.checkBlockedJobs();\n \n return true;\n },\n \n // Check all blocked jobs to see if they can proceed\n checkBlockedJobs: function() {\n var self = this;\n var unblockedCount = 0;\n \n Object.keys(this.threads.jobs).forEach(function(jobId) {\n var job = self.threads.jobs[jobId];\n if (job.status === JobStatus.BLOCKED) {\n var blocker = self.checkJobBlockers(jobId);\n if (!blocker) {\n // Blocker resolved!\n self.updateJobStatus(jobId, JobStatus.PENDING);\n self.emitThreadEvent(OrchestratorEvent.JOB_UNBLOCKED, job);\n unblockedCount++;\n }\n }\n });\n \n if (unblockedCount > 0) {\n console.log('[Threads] Unblocked', unblockedCount, 'jobs');\n }\n \n return unblockedCount;\n },\n \n // Check dependencies for a job\n checkDependencies: function(jobId) {\n var deps = this.threads.dependencies[jobId];\n if (!deps || deps.length === 0) return true;\n \n var self = this;\n return deps.every(function(depId) {\n var depJob = self.threads.jobs[depId];\n return depJob && depJob.status === JobStatus.COMPLETED;\n });\n },\n \n // ==========================================================================\n // EVENT SYSTEM\n // ==========================================================================\n \n // Subscribe to orchestrator events\n onThreadEvent: function(eventType, callback) {\n if (!this.threads.listeners[eventType]) {\n this.threads.listeners[eventType] = [];\n }\n this.threads.listeners[eventType].push(callback);\n \n // Return unsubscribe function\n var self = this;\n return function() {\n var idx = self.orchestrator.listeners[eventType].indexOf(callback);\n if (idx !== -1) {\n self.orchestrator.listeners[eventType].splice(idx, 1);\n }\n };\n },\n \n // Emit an orchestrator event\n emitThreadEvent: function(eventType, data) {\n var listeners = this.threads.listeners[eventType] || [];\n listeners.forEach(function(callback) {\n try {\n callback(data);\n } catch (e) {\n console.error('[Threads] Event handler error:', e);\n }\n });\n \n // Also emit a generic state changed event\n if (eventType !== OrchestratorEvent.STATE_CHANGED) {\n var stateListeners = this.threads.listeners[OrchestratorEvent.STATE_CHANGED] || [];\n stateListeners.forEach(function(callback) {\n try {\n callback({ event: eventType, data: data });\n } catch (e) {\n console.error('[Threads] State change handler error:', e);\n }\n });\n }\n },\n \n // ==========================================================================\n // STATS & QUERIES\n // ==========================================================================\n \n updateThreadsStats: function() {\n var self = this;\n var stats = {\n totalJobs: 0,\n completedJobs: 0,\n failedJobs: 0,\n blockedJobs: 0,\n activeJobs: 0,\n pendingJobs: 0,\n cancelledJobs: 0\n };\n \n Object.keys(this.threads.jobs).forEach(function(jobId) {\n var job = self.threads.jobs[jobId];\n stats.totalJobs++;\n \n if (job.status === JobStatus.COMPLETED) stats.completedJobs++;\n else if (job.status === JobStatus.ERROR) stats.failedJobs++;\n else if (job.status === JobStatus.BLOCKED) stats.blockedJobs++;\n else if (job.status === JobStatus.RUNNING || job.status === JobStatus.STREAMING) stats.activeJobs++;\n else if (job.status === JobStatus.PENDING || job.status === JobStatus.PAUSED) stats.pendingJobs++;\n else if (job.status === JobStatus.CANCELLED) stats.cancelledJobs++;\n });\n \n this.threads.stats = stats;\n },\n \n getThreadsStats: function() {\n return this.threads.stats;\n },\n \n // Get jobs by status\n getJobsByStatus: function(status) {\n var self = this;\n return Object.keys(this.threads.jobs)\n .map(function(id) { return self.threads.jobs[id]; })\n .filter(function(job) { return job.status === status; });\n },\n \n // Get all active jobs\n getActiveJobs: function() {\n var running = this.getJobsByStatus(JobStatus.RUNNING);\n var streaming = this.getJobsByStatus(JobStatus.STREAMING);\n return running.concat(streaming);\n },\n \n // Get all blocked jobs\n getBlockedJobs: function() {\n return this.getJobsByStatus(JobStatus.BLOCKED);\n },\n \n // Clean up old completed jobs (keep last N)\n cleanupOldJobs: function(keepCount) {\n keepCount = keepCount || 100;\n var self = this;\n \n var jobs = Object.keys(this.threads.jobs)\n .map(function(id) { return self.threads.jobs[id]; })\n .filter(function(job) {\n return job.status === JobStatus.COMPLETED || \n job.status === JobStatus.CANCELLED;\n })\n .sort(function(a, b) { return b.completedAt - a.completedAt; });\n \n if (jobs.length > keepCount) {\n var toRemove = jobs.slice(keepCount);\n toRemove.forEach(function(job) {\n delete self.threads.jobs[job.id];\n });\n this.saveOrchestratorState();\n console.log('[Threads] Cleaned up', toRemove.length, 'old jobs');\n }\n },\n \n // Clear all thread state (for debugging)\n clearThreadsState: function() {\n this.threads.jobs = {};\n this.threads.blockers = {};\n this.threads.dependencies = {};\n this.threads.stats = {\n totalJobs: 0,\n completedJobs: 0,\n failedJobs: 0,\n blockedJobs: 0,\n activeJobs: 0,\n pendingJobs: 0,\n cancelledJobs: 0\n };\n localStorage.removeItem(THREADS_KEY);\n localStorage.removeItem('chatapp-orchestrator'); // Clean up old key\n console.log('[Threads] State cleared');\n },\n \n // ==========================================================================\n // MESSAGE PARSING (exposed as methods)\n // ==========================================================================\n \n // Parse a single message to extract reasoning/thinking\n parseMessage: parseMessage,\n \n // Parse all messages\n parseMessages: parseMessages,\n \n // Get display content (clean, without think tags)\n getDisplayContent: getDisplayContent,\n \n // Get thinking/reasoning from a message\n getThinking: getThinking\n };\n}\n\n// Backwards compatibility export\nexport var createOrchestratorMixin = createThreadsMixin;\n\n",[],[195,1249,1241],"app","3b6a65e0-ef19-11f0-af6a-42dde27851f2","templates.js","3b6a6694-ef19-11f0-af6a-42dde27851f2",137,["D",1768155209825],"/**\n * Chat App Templates - Template management (mirrors chats.js structure)\n * Templates store reusable system prompts, model configurations, and parameters\n */\n\nimport { createTemplate, DEFAULT_TEMPLATE_PARAMS } from './state.js';\n\nexport function createTemplatesMethods() {\n return {\n // =========================================================================\n // Template Folder Methods (mirrors folder.js)\n // =========================================================================\n \n // Get root-level template folders\n getRootTemplateFolders() {\n return this.templateFolders\n .filter(function(f) { return f.parentId === null; })\n .sort(function(a, b) { return a.order - b.order; });\n },\n \n // Get child template folders\n getChildTemplateFolders(parentId) {\n return this.templateFolders\n .filter(function(f) { return f.parentId === parentId; })\n .sort(function(a, b) { return a.order - b.order; });\n },\n \n // Get templates in a folder\n getTemplatesInFolder(folderId) {\n return this.templates\n .filter(function(t) { return t.folderId === folderId; })\n .sort(function(a, b) { return a.order - b.order; });\n },\n \n // Get root templates (not in any folder)\n getRootTemplates() {\n return this.templates\n .filter(function(t) { return t.folderId === null; })\n .sort(function(a, b) { return a.order - b.order; });\n },\n \n // Toggle template folder collapsed state\n toggleTemplateFolderCollapsed(folderId) {\n var folder = this.templateFolders.find(function(f) { return f.id === folderId; });\n if (folder) {\n folder.collapsed = !folder.collapsed;\n this.saveToStorage();\n }\n },\n \n // Create a new template folder\n createTemplateFolder(parentId) {\n var newFolder = {\n id: this.nextTemplateFolderId++,\n name: 'New Folder',\n parentId: parentId || null,\n collapsed: false,\n order: this.templateFolders.length\n };\n this.templateFolders.push(newFolder);\n this.templatesVersion++;\n this.saveToStorage();\n \n // Start editing the folder name\n this.$nextTick(function() {\n this.startEditingTemplateFolder(newFolder.id, newFolder.name);\n }.bind(this));\n \n return newFolder;\n },\n \n // Delete a template folder\n deleteTemplateFolder(folderId) {\n // Move templates in this folder to root\n this.templates.forEach(function(t) {\n if (t.folderId === folderId) {\n t.folderId = null;\n }\n });\n \n // Move child folders to root\n this.templateFolders.forEach(function(f) {\n if (f.parentId === folderId) {\n f.parentId = null;\n }\n });\n \n // Remove the folder\n this.templateFolders = this.templateFolders.filter(function(f) { return f.id !== folderId; });\n this.templateFolderMenuOpen = null;\n this.templatesVersion++;\n this.saveToStorage();\n },\n \n // Can nest folder check (prevent deep nesting)\n canNestTemplateIn(folderId) {\n var folder = this.templateFolders.find(function(f) { return f.id === folderId; });\n return folder && folder.parentId === null; // Only allow one level of nesting\n },\n \n // =========================================================================\n // Template Editing Methods\n // =========================================================================\n \n startEditingTemplateFolder(folderId, currentName) {\n this.editingTemplateFolderId = folderId;\n this.editingTemplateFolderName = currentName;\n this.$nextTick(function() {\n var input = document.querySelector('[data-template-folder-edit=\"' + folderId + '\"]');\n if (input) {\n input.focus();\n input.select();\n }\n });\n },\n \n commitEditingTemplateFolder() {\n if (this.editingTemplateFolderId && this.editingTemplateFolderName.trim()) {\n var folder = this.templateFolders.find(function(f) { return f.id === this.editingTemplateFolderId; }.bind(this));\n if (folder) {\n folder.name = this.editingTemplateFolderName.trim();\n this.saveToStorage();\n }\n }\n this.cancelEditingTemplateFolder();\n },\n \n cancelEditingTemplateFolder() {\n this.editingTemplateFolderId = null;\n this.editingTemplateFolderName = '';\n },\n \n startEditingTemplate(templateId, currentName) {\n this.editingTemplateId = templateId;\n this.editingTemplateName = currentName;\n this.$nextTick(function() {\n var input = document.querySelector('[data-template-edit=\"' + templateId + '\"]');\n if (input) {\n input.focus();\n input.select();\n }\n });\n },\n \n commitEditingTemplate() {\n if (this.editingTemplateId && this.editingTemplateName.trim()) {\n var template = this.templates.find(function(t) { return t.id === this.editingTemplateId; }.bind(this));\n if (template) {\n template.name = this.editingTemplateName.trim();\n template.updatedAt = new Date().toISOString();\n this.saveToStorage();\n }\n }\n this.cancelEditingTemplate();\n },\n \n cancelEditingTemplate() {\n this.editingTemplateId = null;\n this.editingTemplateName = '';\n },\n \n // =========================================================================\n // Template CRUD Methods\n // =========================================================================\n \n // Create a new template\n createNewTemplate(folderId) {\n var template = createTemplate('New Template');\n template.id = this.nextTemplateId++;\n template.folderId = folderId || null;\n template.order = this.templates.length;\n \n this.templates.push(template);\n this.activeTemplateId = template.id;\n this.loadCurrentTemplateSettings();\n this.templatesVersion++;\n this.saveToStorage();\n \n // Start editing the name in sidebar\n this.$nextTick(function() {\n this.startEditingTemplate(template.id, template.name);\n }.bind(this));\n \n return template;\n },\n \n // Select a template\n selectTemplate(templateId) {\n this.activeTemplateId = templateId;\n this.loadCurrentTemplateSettings();\n // Template settings are shown in main content area, not right sidebar\n },\n \n // Delete a template\n deleteTemplate(templateId) {\n this.templates = this.templates.filter(function(t) { return t.id !== templateId; });\n \n if (this.activeTemplateId === templateId) {\n this.activeTemplateId = null;\n this.rightSidebarOpen = false;\n }\n \n this.templateMenuOpen = null;\n this.templatesVersion++;\n this.saveToStorage();\n },\n \n // Duplicate a template\n duplicateTemplate(templateId) {\n var original = this.templates.find(function(t) { return t.id === templateId; });\n if (!original) return null;\n \n var template = createTemplate(original.name + ' (Copy)');\n template.id = this.nextTemplateId++;\n template.folderId = original.folderId;\n template.order = this.templates.length;\n template.systemPrompt = original.systemPrompt;\n template.defaultModel = original.defaultModel;\n template.parameters = { ...original.parameters };\n \n this.templates.push(template);\n this.activeTemplateId = template.id;\n this.loadCurrentTemplateSettings();\n this.templatesVersion++;\n this.saveToStorage();\n \n return template;\n },\n \n // Get current template name\n getCurrentTemplateName() {\n if (!this.activeTemplateId) return '';\n var template = this.templates.find(function(t) { return t.id === this.activeTemplateId; }.bind(this));\n return template ? template.name : '';\n },\n \n // =========================================================================\n // Template Settings Methods\n // =========================================================================\n \n // Load settings for the current active template\n loadCurrentTemplateSettings() {\n if (!this.activeTemplateId) {\n this.currentTemplateSettings = {\n name: '',\n systemPrompt: '',\n defaultModel: null,\n temperature: DEFAULT_TEMPLATE_PARAMS.temperature,\n maxTokens: DEFAULT_TEMPLATE_PARAMS.maxTokens,\n topP: DEFAULT_TEMPLATE_PARAMS.topP,\n frequencyPenalty: DEFAULT_TEMPLATE_PARAMS.frequencyPenalty,\n presencePenalty: DEFAULT_TEMPLATE_PARAMS.presencePenalty,\n reasoningEffort: DEFAULT_TEMPLATE_PARAMS.reasoningEffort,\n webSearch: DEFAULT_TEMPLATE_PARAMS.webSearch,\n codeExecution: DEFAULT_TEMPLATE_PARAMS.codeExecution,\n imageDetail: DEFAULT_TEMPLATE_PARAMS.imageDetail,\n modelVersion: DEFAULT_TEMPLATE_PARAMS.modelVersion\n };\n return;\n }\n \n var template = this.templates.find(function(t) { return t.id === this.activeTemplateId; }.bind(this));\n if (!template) return;\n \n var params = template.parameters || {};\n \n this.currentTemplateSettings = {\n name: template.name || '',\n systemPrompt: template.systemPrompt || '',\n defaultModel: template.defaultModel || null,\n temperature: params.temperature ?? DEFAULT_TEMPLATE_PARAMS.temperature,\n maxTokens: params.maxTokens ?? DEFAULT_TEMPLATE_PARAMS.maxTokens,\n topP: params.topP ?? DEFAULT_TEMPLATE_PARAMS.topP,\n frequencyPenalty: params.frequencyPenalty ?? DEFAULT_TEMPLATE_PARAMS.frequencyPenalty,\n presencePenalty: params.presencePenalty ?? DEFAULT_TEMPLATE_PARAMS.presencePenalty,\n reasoningEffort: params.reasoningEffort ?? DEFAULT_TEMPLATE_PARAMS.reasoningEffort,\n webSearch: params.webSearch ?? DEFAULT_TEMPLATE_PARAMS.webSearch,\n codeExecution: params.codeExecution ?? DEFAULT_TEMPLATE_PARAMS.codeExecution,\n imageDetail: params.imageDetail ?? DEFAULT_TEMPLATE_PARAMS.imageDetail,\n modelVersion: params.modelVersion ?? DEFAULT_TEMPLATE_PARAMS.modelVersion\n };\n },\n \n // Save current template settings\n saveTemplateSettings() {\n if (!this.activeTemplateId) return;\n \n var template = this.templates.find(function(t) { return t.id === this.activeTemplateId; }.bind(this));\n if (!template) return;\n \n template.name = this.currentTemplateSettings.name || template.name;\n template.systemPrompt = this.currentTemplateSettings.systemPrompt;\n template.defaultModel = this.currentTemplateSettings.defaultModel;\n template.parameters = {\n temperature: this.currentTemplateSettings.temperature,\n maxTokens: this.currentTemplateSettings.maxTokens,\n topP: this.currentTemplateSettings.topP,\n frequencyPenalty: this.currentTemplateSettings.frequencyPenalty,\n presencePenalty: this.currentTemplateSettings.presencePenalty,\n reasoningEffort: this.currentTemplateSettings.reasoningEffort,\n webSearch: this.currentTemplateSettings.webSearch,\n codeExecution: this.currentTemplateSettings.codeExecution,\n imageDetail: this.currentTemplateSettings.imageDetail,\n modelVersion: this.currentTemplateSettings.modelVersion\n };\n template.updatedAt = new Date().toISOString();\n \n this.templatesVersion++;\n this.saveToStorage();\n console.log('[Templates] Saved settings for template:', this.activeTemplateId);\n return true; // Return success for toast handling\n },\n \n // Update a single template setting (debounced save - silent, no toast)\n updateTemplateSetting(key, value) {\n this.currentTemplateSettings[key] = value;\n \n // Debounce the save (silent - no toast for auto-save)\n if (this._templateSettingsSaveTimeout) {\n clearTimeout(this._templateSettingsSaveTimeout);\n }\n this._templateSettingsSaveTimeout = setTimeout(function() {\n this.saveTemplateSettings(); // Silent auto-save\n }.bind(this), 500);\n },\n \n // Save template settings with toast notification (for manual save button)\n saveTemplateSettingsWithToast() {\n const saved = this.saveTemplateSettings();\n if (saved && window.toast) {\n window.toast('Template saved!', { type: 'success' });\n }\n },\n \n // Reset template settings to defaults\n resetTemplateSettings() {\n this.currentTemplateSettings = {\n name: this.currentTemplateSettings.name, // Keep the name\n systemPrompt: '',\n defaultModel: null,\n temperature: DEFAULT_TEMPLATE_PARAMS.temperature,\n maxTokens: DEFAULT_TEMPLATE_PARAMS.maxTokens,\n topP: DEFAULT_TEMPLATE_PARAMS.topP,\n frequencyPenalty: DEFAULT_TEMPLATE_PARAMS.frequencyPenalty,\n presencePenalty: DEFAULT_TEMPLATE_PARAMS.presencePenalty,\n reasoningEffort: DEFAULT_TEMPLATE_PARAMS.reasoningEffort,\n webSearch: DEFAULT_TEMPLATE_PARAMS.webSearch,\n codeExecution: DEFAULT_TEMPLATE_PARAMS.codeExecution,\n imageDetail: DEFAULT_TEMPLATE_PARAMS.imageDetail,\n modelVersion: DEFAULT_TEMPLATE_PARAMS.modelVersion\n };\n \n this.saveTemplateSettings();\n \n if (window.toast) {\n window.toast('Template reset to defaults', { type: 'info' });\n }\n },\n \n // =========================================================================\n // Apply Template to Chat\n // =========================================================================\n \n // Apply a template's settings to the current chat\n applyTemplateToChat(templateId) {\n var template = this.templates.find(function(t) { return t.id === templateId; });\n if (!template || !this.activeChatId) return;\n \n // Copy template settings to current chat settings\n this.currentChatSettings.systemPrompt = template.systemPrompt || '';\n this.currentChatSettings.temperature = template.parameters?.temperature ?? this.currentChatSettings.temperature;\n this.currentChatSettings.maxTokens = template.parameters?.maxTokens ?? this.currentChatSettings.maxTokens;\n this.currentChatSettings.topP = template.parameters?.topP ?? this.currentChatSettings.topP;\n this.currentChatSettings.frequencyPenalty = template.parameters?.frequencyPenalty ?? this.currentChatSettings.frequencyPenalty;\n this.currentChatSettings.presencePenalty = template.parameters?.presencePenalty ?? this.currentChatSettings.presencePenalty;\n this.currentChatSettings.reasoningEffort = template.parameters?.reasoningEffort ?? this.currentChatSettings.reasoningEffort;\n this.currentChatSettings.webSearch = template.parameters?.webSearch ?? this.currentChatSettings.webSearch;\n this.currentChatSettings.codeExecution = template.parameters?.codeExecution ?? this.currentChatSettings.codeExecution;\n this.currentChatSettings.imageDetail = template.parameters?.imageDetail ?? this.currentChatSettings.imageDetail;\n this.currentChatSettings.modelVersion = template.parameters?.modelVersion ?? this.currentChatSettings.modelVersion;\n \n // Apply default model if set\n if (template.defaultModel) {\n var model = this.models.find(function(m) { return m.id === template.defaultModel; });\n if (model) {\n this.selectedModel = model;\n }\n }\n \n this.saveChatSettings();\n console.log('[Templates] Applied template to chat:', template.name);\n },\n \n // =========================================================================\n // Template Drag & Drop (simplified - mirrors dragdrop.js)\n // =========================================================================\n \n // Touch drag state for templates\n templateTouchDragActive: false,\n templateTouchDragElement: null,\n templateTouchDragGhost: null,\n templateTouchStartY: 0,\n templateTouchStartX: 0,\n _pendingTemplateTouchDrag: null,\n templateTouchScrollTimeout: null,\n _templateTouchMoved: false,\n _templateLongPressTriggered: false,\n TEMPLATE_LONG_PRESS_DELAY: 500,\n \n // Touch event handlers for templates\n onTemplateTouchStart(e, type, id) {\n // Always allow inputs to handle their own events\n var target = e.target;\n if (target.tagName === 'INPUT' || target.closest('input')) {\n return;\n }\n \n var touch = e.touches[0];\n this.templateTouchStartX = touch.clientX;\n this.templateTouchStartY = touch.clientY;\n this._pendingTemplateTouchDrag = { type: type, id: id, element: e.currentTarget };\n this._templateTouchMoved = false;\n this._templateLongPressTriggered = false;\n \n var self = this;\n this.templateTouchScrollTimeout = setTimeout(function() {\n if (self._pendingTemplateTouchDrag && !self._templateTouchMoved) {\n self._templateLongPressTriggered = true;\n self.initTemplateTouchDrag(e, type, id);\n if (navigator.vibrate) navigator.vibrate(50);\n }\n }, this.TEMPLATE_LONG_PRESS_DELAY);\n },\n \n initTemplateTouchDrag(e, type, id) {\n if (this.templateTouchDragActive) return;\n \n var touch = e.touches[0];\n this.templateTouchDragElement = e.currentTarget;\n \n if (type === 'template') {\n this.draggingTemplateId = id;\n this.draggingTemplateFolderId = null;\n } else {\n this.draggingTemplateFolderId = id;\n this.draggingTemplateId = null;\n }\n \n this.templateTouchDragActive = true;\n this.createTemplateTouchGhost(e.currentTarget, touch);\n e.currentTarget.classList.add('is-dragging');\n },\n \n createTemplateTouchGhost(element, touch) {\n var ghost = element.cloneNode(true);\n ghost.classList.add('touch-drag-ghost');\n ghost.style.cssText = 'position: fixed; pointer-events: none; z-index: 9999; opacity: 0.8; transform: scale(1.02); box-shadow: 0 8px 25px rgba(0,0,0,0.15); background: var(--color-bg-primary, #fff); border-radius: 0.25rem; width: ' + element.offsetWidth + 'px;';\n ghost.style.left = (touch.clientX - element.offsetWidth / 2) + 'px';\n ghost.style.top = (touch.clientY - 20) + 'px';\n document.body.appendChild(ghost);\n this.templateTouchDragGhost = ghost;\n },\n \n updateTemplateTouchGhost(touch) {\n if (this.templateTouchDragGhost) {\n this.templateTouchDragGhost.style.left = (touch.clientX - this.templateTouchDragGhost.offsetWidth / 2) + 'px';\n this.templateTouchDragGhost.style.top = (touch.clientY - 20) + 'px';\n }\n },\n \n removeTemplateTouchGhost() {\n if (this.templateTouchDragGhost && this.templateTouchDragGhost.parentNode) {\n this.templateTouchDragGhost.parentNode.removeChild(this.templateTouchDragGhost);\n }\n this.templateTouchDragGhost = null;\n },\n \n onTemplateTouchMove(e) {\n if (!this.templateTouchDragActive && this._pendingTemplateTouchDrag) {\n var touch = e.touches[0];\n var deltaX = Math.abs(touch.clientX - this.templateTouchStartX);\n var deltaY = Math.abs(touch.clientY - this.templateTouchStartY);\n \n // Any significant movement cancels the long-press drag initiation\n if (deltaX > 5 || deltaY > 5) {\n this._templateTouchMoved = true;\n this.cancelPendingTemplateTouchDrag();\n // Allow default scroll behavior\n return;\n }\n return;\n }\n \n if (!this.templateTouchDragActive) return;\n \n e.preventDefault();\n var touch = e.touches[0];\n this.updateTemplateTouchGhost(touch);\n \n // Find element under touch point\n if (this.templateTouchDragGhost) {\n this.templateTouchDragGhost.style.display = 'none';\n }\n var elementBelow = document.elementFromPoint(touch.clientX, touch.clientY);\n if (this.templateTouchDragGhost) {\n this.templateTouchDragGhost.style.display = '';\n }\n \n if (elementBelow) {\n var dropTarget = elementBelow.closest('.chat-item-drag-wrapper, .chat-folder-row, .chat-folder-root');\n \n if (dropTarget) {\n if (dropTarget.classList.contains('chat-folder-root')) {\n this.dragOverTemplateRoot = true;\n this.dragOverTemplateFolderId = null;\n } else if (dropTarget.classList.contains('chat-folder-row')) {\n var folderId = parseInt(dropTarget.dataset?.id || dropTarget.closest('[data-id]')?.dataset?.id);\n if (!isNaN(folderId)) {\n this.dragOverTemplateFolderId = folderId;\n this.dragOverTemplateRoot = false;\n }\n }\n } else {\n this.dragOverTemplateFolderId = null;\n }\n }\n },\n \n onTemplateTouchEnd(e) {\n var wasDragging = this.templateTouchDragActive;\n var longPressTriggered = this._templateLongPressTriggered;\n \n this.cancelPendingTemplateTouchDrag();\n this._templateLongPressTriggered = false;\n \n // If we weren't dragging and long-press wasn't triggered, this was a quick tap\n if (!wasDragging && !longPressTriggered) {\n // Find the clickable element (button) and trigger click\n var target = e.target;\n var button = target.closest('button.chat-item-btn, button.chat-folder-label');\n if (button) {\n setTimeout(function() { button.click(); }, 0);\n }\n return;\n }\n \n // Perform the drop\n if (this.dragOverTemplateFolderId !== null && this.draggingTemplateId) {\n var template = this.templates.find(function(t) { return t.id === this.draggingTemplateId; }.bind(this));\n if (template) {\n template.folderId = this.dragOverTemplateFolderId;\n this.templatesVersion++;\n this.saveToStorage();\n }\n } else if (this.dragOverTemplateRoot && this.draggingTemplateId) {\n var template = this.templates.find(function(t) { return t.id === this.draggingTemplateId; }.bind(this));\n if (template) {\n template.folderId = null;\n this.templatesVersion++;\n this.saveToStorage();\n }\n } else if (this.dragOverTemplateFolderRoot && this.draggingTemplateFolderId) {\n var folder = this.templateFolders.find(function(f) { return f.id === this.draggingTemplateFolderId; }.bind(this));\n if (folder) {\n folder.parentId = null;\n this.templatesVersion++;\n this.saveToStorage();\n }\n }\n \n // Clean up\n if (this.templateTouchDragElement) {\n this.templateTouchDragElement.classList.remove('is-dragging');\n }\n this.removeTemplateTouchGhost();\n this.templateTouchDragActive = false;\n this.templateTouchDragElement = null;\n this.onTemplateDragEnd();\n },\n \n cancelPendingTemplateTouchDrag() {\n clearTimeout(this.templateTouchScrollTimeout);\n this._pendingTemplateTouchDrag = null;\n },\n \n onTemplateDragStart(event, templateId) {\n this.draggingTemplateId = templateId;\n event.dataTransfer.effectAllowed = 'move';\n event.dataTransfer.setData('text/plain', 'template:' + templateId);\n },\n \n onTemplateDragEnd() {\n this.draggingTemplateId = null;\n this.dragOverTemplateFolderId = null;\n this.dragOverTemplateRoot = false;\n this.templateDropIndicator = null;\n },\n \n onTemplateFolderDragStart(event, folderId) {\n this.draggingTemplateFolderId = folderId;\n event.dataTransfer.effectAllowed = 'move';\n event.dataTransfer.setData('text/plain', 'templateFolder:' + folderId);\n },\n \n onTemplateFolderDragEnd() {\n this.draggingTemplateFolderId = null;\n this.dragOverTemplateFolderId = null;\n this.templateDropIndicator = null;\n },\n \n onTemplateFolderDragOver(event, folderId) {\n event.preventDefault();\n event.dataTransfer.dropEffect = 'move';\n this.dragOverTemplateFolderId = folderId;\n },\n \n onTemplateFolderDragLeave() {\n this.dragOverTemplateFolderId = null;\n },\n \n onTemplateFolderDrop(event, folderId) {\n event.preventDefault();\n \n if (this.draggingTemplateId) {\n var template = this.templates.find(function(t) { return t.id === this.draggingTemplateId; }.bind(this));\n if (template) {\n template.folderId = folderId;\n this.templatesVersion++;\n this.saveToStorage();\n }\n }\n \n this.onTemplateDragEnd();\n },\n \n onTemplateRootDragOver(event) {\n event.preventDefault();\n event.dataTransfer.dropEffect = 'move';\n this.dragOverTemplateRoot = true;\n },\n \n onTemplateRootDragLeave() {\n this.dragOverTemplateRoot = false;\n },\n \n onTemplateRootDrop(event) {\n event.preventDefault();\n \n if (this.draggingTemplateId) {\n var template = this.templates.find(function(t) { return t.id === this.draggingTemplateId; }.bind(this));\n if (template) {\n template.folderId = null;\n this.templatesVersion++;\n this.saveToStorage();\n }\n }\n \n this.dragOverTemplateRoot = false;\n this.onTemplateDragEnd();\n },\n \n onTemplateFolderRootDragOver(event) {\n event.preventDefault();\n event.dataTransfer.dropEffect = 'move';\n this.dragOverTemplateFolderRoot = true;\n },\n \n onTemplateFolderRootDragLeave() {\n this.dragOverTemplateFolderRoot = false;\n },\n \n onTemplateFolderRootDrop(event) {\n event.preventDefault();\n \n if (this.draggingTemplateFolderId) {\n var folder = this.templateFolders.find(function(f) { return f.id === this.draggingTemplateFolderId; }.bind(this));\n if (folder) {\n folder.parentId = null;\n this.templatesVersion++;\n this.saveToStorage();\n }\n }\n \n this.dragOverTemplateFolderRoot = false;\n this.onTemplateFolderDragEnd();\n }\n };\n}\n\n",[],[195,1249,1251],"3c69b0b8-ef19-11f0-aee5-42dde27851f2","storage.js","0be9b5fa-e2e9-11f0-b39b-42dde27851f2",171,["D",1768155211503],"/**\n * Chat App Storage - LocalStorage persistence\n * \n * Unified chat structure: chats = { [chatId]: { messages: [], metadata: {...} } }\n */\n\nconst STORAGE_KEY = 'chatapp-data';\nconst API_KEYS_STORAGE_KEY = 'chatapp-api-keys'; // Separate storage for API keys\n\nimport { createChatMetadata, createChatData } from './state.js';\n\nexport function createStorageMethods() {\n return {\n // Migrate old storage format to new unified format\n migrateStorageFormat(data) {\n // Check if already in new format (chats have .messages property)\n var firstChatId = Object.keys(data.chats || {})[0];\n if (firstChatId && data.chats[firstChatId] && data.chats[firstChatId].messages !== undefined) {\n console.log('[Storage] Already in new unified format');\n return data;\n }\n \n // Old format detected - migrate\n console.log('[Storage] Migrating from old format to unified chat structure...');\n var migratedChats = {};\n var oldChats = data.chats || {};\n var oldMetadata = data.chatMetadata || {};\n \n Object.keys(oldChats).forEach(function(chatId) {\n var messages = oldChats[chatId];\n var metadata = oldMetadata[chatId] || createChatMetadata();\n migratedChats[chatId] = {\n messages: Array.isArray(messages) ? messages : [],\n metadata: metadata\n };\n });\n \n // Also migrate any metadata that exists without corresponding messages\n Object.keys(oldMetadata).forEach(function(chatId) {\n if (!migratedChats[chatId]) {\n migratedChats[chatId] = {\n messages: [],\n metadata: oldMetadata[chatId]\n };\n }\n });\n \n data.chats = migratedChats;\n delete data.chatMetadata; // Remove old format\n \n console.log('[Storage] Migration complete, migrated', Object.keys(migratedChats).length, 'chats');\n return data;\n },\n \n loadFromStorage() {\n var self = this;\n console.log('[Storage] Loading from storage...');\n \n // CRITICAL: Ensure messages is ALWAYS an array before any async operations\n // This prevents Alpine template errors during initialization\n if (!Array.isArray(self.messages)) {\n self.messages = [];\n }\n \n try {\n var stored = localStorage.getItem(STORAGE_KEY);\n if (stored) {\n var data = JSON.parse(stored);\n \n // Migrate old format if necessary\n data = self.migrateStorageFormat(data);\n \n console.log('[Storage] Parsed data, activeChatId:', data.activeChatId, 'items count:', (data.items || []).length);\n \n self.folders = Array.isArray(data.folders) ? data.folders : [];\n self.items = Array.isArray(data.items) ? data.items : [];\n self.chats = (data.chats && typeof data.chats === 'object') ? data.chats : {};\n self.nextFolderId = data.nextFolderId || 1;\n self.nextItemId = data.nextItemId || 1;\n // Store the saved active chat ID but don't set it yet\n var savedActiveChatId = data.activeChatId || null;\n \n // Load templates data\n self.templateFolders = Array.isArray(data.templateFolders) ? data.templateFolders : [];\n self.templates = Array.isArray(data.templates) ? data.templates : [];\n self.nextTemplateFolderId = data.nextTemplateFolderId || 1;\n self.nextTemplateId = data.nextTemplateId || 1;\n self.mainView = data.mainView || 'chats';\n \n // Ensure all messages in all chats have valid IDs\n Object.keys(self.chats).forEach(function(chatId) {\n var chat = self.chats[chatId];\n if (chat && chat.messages) {\n chat.messages = self.ensureMessageIds(chat.messages);\n }\n });\n \n // Defer active chat selection to after Alpine initializes\n var chatData = savedActiveChatId ? self.chats[savedActiveChatId] : null;\n if (savedActiveChatId && chatData && chatData.messages) {\n console.log('[Storage] Deferring chat selection to $nextTick');\n self.$nextTick(function() {\n console.log('[Storage] In $nextTick, setting activeChatId:', savedActiveChatId);\n var chatMessages = chatData.messages;\n console.log('[Storage] Chat messages count:', chatMessages.length);\n if (Array.isArray(chatMessages)) {\n var processedMessages = self.ensureMessageIds(JSON.parse(JSON.stringify(chatMessages)));\n // Use Alpine's array replacement to ensure reactivity\n self.messages.length = 0; // Clear array\n processedMessages.forEach(function(msg) {\n self.messages.push(msg);\n });\n self.activeChatId = savedActiveChatId;\n console.log('[Storage] Loaded', self.messages.length, 'messages');\n \n // CRITICAL: Restore chat-specific model and settings after loading\n if (self.restoreChatModel) {\n self.restoreChatModel(savedActiveChatId);\n }\n if (self.loadCurrentChatSettings) {\n self.loadCurrentChatSettings();\n }\n } else {\n // Invalid chat data, reset\n console.log('[Storage] Invalid chat data, resetting');\n self.messages.length = 0;\n self.activeChatId = null;\n }\n });\n } else {\n console.log('[Storage] No active chat, messages already initialized as empty array');\n self.activeChatId = null;\n }\n } else {\n console.log('[Storage] No stored data found, messages already initialized');\n self.activeChatId = null;\n }\n } catch (e) {\n console.warn('Failed to load chat data:', e);\n // Reset to safe state on error\n self.messages.length = 0;\n self.chats = {};\n self.folders = [];\n self.items = [];\n self.activeChatId = null;\n }\n \n // Load API keys separately\n self.loadApiKeys();\n },\n \n // Ensure all messages have valid and UNIQUE IDs (required for x-for :key)\n ensureMessageIds(messages) {\n if (!Array.isArray(messages)) return [];\n var baseTime = Date.now();\n var usedIds = new Set();\n \n return messages.filter(function(msg) {\n // Filter out completely invalid messages\n return msg && typeof msg === 'object';\n }).map(function(msg, index) {\n // Clone to avoid mutating original\n var clone = Object.assign({}, msg);\n // Ensure role exists first (default to 'user')\n if (!clone.role) clone.role = 'user';\n \n // Ensure id is a valid primitive (number or string) and UNIQUE\n var currentId = clone.id;\n if (currentId === undefined || currentId === null || typeof currentId === 'object' || usedIds.has(currentId)) {\n // Generate unique ID with role prefix to prevent collisions\n var randomPart = Math.random().toString(36).substr(2, 9);\n clone.id = clone.role + '-' + baseTime + '-' + index + '-' + randomPart;\n }\n usedIds.add(clone.id);\n // Ensure content exists\n if (clone.content === undefined) clone.content = '';\n return clone;\n });\n },\n \n saveToStorage() {\n // Check if auto-save is enabled\n if (!this.settings?.autoSave) {\n return;\n }\n \n try {\n // Save current messages to active chat (unified structure)\n if (this.activeChatId && Array.isArray(this.messages)) {\n // Ensure chat exists with proper structure\n if (!this.chats[this.activeChatId]) {\n this.chats[this.activeChatId] = createChatData();\n }\n // Update messages\n this.chats[this.activeChatId].messages = JSON.parse(JSON.stringify(this.messages));\n }\n \n const data = {\n folders: this.folders,\n items: this.items,\n chats: this.chats,\n nextFolderId: this.nextFolderId,\n nextItemId: this.nextItemId,\n activeChatId: this.activeChatId,\n // Templates data\n templateFolders: this.templateFolders,\n templates: this.templates,\n nextTemplateFolderId: this.nextTemplateFolderId,\n nextTemplateId: this.nextTemplateId,\n mainView: this.mainView,\n };\n localStorage.setItem(STORAGE_KEY, JSON.stringify(data));\n } catch (e) {\n console.warn('Failed to save chat data:', e);\n }\n },\n \n // Force save regardless of auto-save setting\n forceSave() {\n try {\n // Save current messages to active chat (unified structure)\n if (this.activeChatId && Array.isArray(this.messages)) {\n if (!this.chats[this.activeChatId]) {\n this.chats[this.activeChatId] = createChatData();\n }\n this.chats[this.activeChatId].messages = JSON.parse(JSON.stringify(this.messages));\n }\n \n const data = {\n folders: this.folders,\n items: this.items,\n chats: this.chats,\n nextFolderId: this.nextFolderId,\n nextItemId: this.nextItemId,\n activeChatId: this.activeChatId,\n // Templates data\n templateFolders: this.templateFolders,\n templates: this.templates,\n nextTemplateFolderId: this.nextTemplateFolderId,\n nextTemplateId: this.nextTemplateId,\n mainView: this.mainView,\n };\n localStorage.setItem(STORAGE_KEY, JSON.stringify(data));\n } catch (e) {\n console.warn('Failed to save chat data:', e);\n }\n },\n \n // Clear all storage data (for testing/debugging)\n clearStorage() {\n try {\n localStorage.removeItem(STORAGE_KEY);\n // Clear arrays without replacing references\n this.messages.length = 0;\n this.folders.length = 0;\n this.items.length = 0;\n this.chats = {};\n this.activeChatId = null;\n this.nextFolderId = 1;\n this.nextItemId = 1;\n // Clear templates\n this.templateFolders.length = 0;\n this.templates.length = 0;\n this.activeTemplateId = null;\n this.nextTemplateFolderId = 1;\n this.nextTemplateId = 1;\n this.mainView = 'chats';\n console.log('[Storage] Cleared all chat data');\n } catch (e) {\n console.warn('Failed to clear storage:', e);\n }\n },\n \n // Helper to get chat metadata (from unified structure)\n getChatMetadata(chatId) {\n if (!chatId || !this.chats[chatId]) {\n return null;\n }\n return this.chats[chatId].metadata || null;\n },\n \n // Helper to update chat metadata\n updateChatMetadata(chatId, updates) {\n if (!chatId) return;\n \n // Ensure chat exists\n if (!this.chats[chatId]) {\n this.chats[chatId] = createChatData();\n }\n \n // Ensure metadata exists\n if (!this.chats[chatId].metadata) {\n this.chats[chatId].metadata = createChatMetadata();\n }\n \n // Apply updates\n Object.assign(this.chats[chatId].metadata, updates);\n this.chats[chatId].metadata.updatedAt = new Date().toISOString();\n },\n \n // =========================================================================\n // API Key Management\n // =========================================================================\n \n loadApiKeys() {\n try {\n var stored = localStorage.getItem(API_KEYS_STORAGE_KEY);\n if (stored) {\n var keys = JSON.parse(stored);\n this.apiKeys = Object.assign({\n groq: '',\n openai: '',\n anthropic: ''\n }, keys);\n console.log('[Storage] Loaded API keys for providers:', Object.keys(this.apiKeys).filter(k => this.apiKeys[k]));\n }\n } catch (e) {\n console.warn('Failed to load API keys:', e);\n }\n },\n \n saveApiKeys() {\n try {\n localStorage.setItem(API_KEYS_STORAGE_KEY, JSON.stringify(this.apiKeys));\n console.log('[Storage] Saved API keys');\n } catch (e) {\n console.warn('Failed to save API keys:', e);\n }\n },\n \n updateApiKey(provider, key) {\n this.apiKeys[provider] = key;\n this.saveApiKeys();\n // Show toast notification\n if (window.toast) {\n window.toast('API key saved!', { type: 'success' });\n }\n },\n \n getApiKey(provider) {\n return this.apiKeys[provider] || '';\n },\n \n clearApiKeys() {\n this.apiKeys = {\n groq: '',\n openai: '',\n anthropic: ''\n };\n localStorage.removeItem(API_KEYS_STORAGE_KEY);\n console.log('[Storage] Cleared all API keys');\n },\n };\n}\n",[],[195,1249,1259],"3c40df8a-ef19-11f0-8520-42dde27851f2","state.js","0bb0d6ae-e2e9-11f0-8def-42dde27851f2",168,["D",1768155211216],"/**\n * Chat App State - Initial state and model definitions\n */\n\nexport const MODELS = [\n // Groq - Compound Systems\n { id: 'groq/compound', name: 'Compound', desc: 'AI system with built-in tools including web search and code execution.', logo: '/public/groq-logo-orange.png', provider: 'groq', web: true, tools: true },\n { id: 'groq/compound-mini', name: 'Compound Mini', desc: 'Faster, lighter version with web search and code execution.', logo: '/public/groq-logo-orange.png', provider: 'groq', web: true, tools: true },\n \n // Groq - OpenAI GPT-OSS Models\n { id: 'openai/gpt-oss-120b', name: 'GPT OSS 120B', desc: 'Flagship 120B parameter model with browser search and reasoning.', logo: '/public/groq-logo-orange.png', provider: 'groq', web: true, thinking: true, tools: true },\n { id: 'openai/gpt-oss-20b', name: 'GPT OSS 20B', desc: 'Fast 20B model with web search, thinking, and code execution.', logo: '/public/groq-logo-orange.png', provider: 'groq', web: true, thinking: true, tools: true },\n \n // Groq - Llama 3.x Production\n { id: 'llama-3.1-8b-instant', name: 'Llama 3.1 8B Instant', desc: 'Ultra-fast 8B model for instant responses (560 t/s).', logo: '/public/groq-logo-orange.png', provider: 'groq' },\n { id: 'llama-3.3-70b-versatile', name: 'Llama 3.3 70B Versatile', desc: 'Versatile 70B model for a wide range of tasks (280 t/s).', logo: '/public/groq-logo-orange.png', provider: 'groq' },\n \n // Groq - Llama 4 Vision Models\n { id: 'meta-llama/llama-4-maverick-17b-128e-instruct', name: 'Llama 4 Maverick 17B', desc: 'Powerful image understanding and analysis (600 t/s).', logo: '/public/groq-logo-orange.png', provider: 'groq', image: true, preview: true },\n { id: 'meta-llama/llama-4-scout-17b-16e-instruct', name: 'Llama 4 Scout 17B', desc: 'Fast responses with image support (750 t/s).', logo: '/public/groq-logo-orange.png', provider: 'groq', image: true, preview: true },\n \n // OpenAI - GPT-5.2 Series (Latest)\n { id: 'gpt-5.2', name: 'GPT-5.2', desc: 'Most advanced model for coding and agentic tasks across industries.', logo: '/public/openai-logo.png', provider: 'openai', image: true, tools: true },\n { id: 'gpt-5.2-pro', name: 'GPT-5.2 Pro', desc: 'Version of GPT-5.2 that produces smarter and more precise responses.', logo: '/public/openai-logo.png', provider: 'openai', image: true, tools: true },\n { id: 'gpt-5-mini', name: 'GPT-5 Mini', desc: 'Faster, cost-efficient version of GPT-5 for well-defined tasks.', logo: '/public/openai-logo.png', provider: 'openai', image: true, tools: true },\n { id: 'gpt-5-nano', name: 'GPT-5 Nano', desc: 'Fastest, most cost-efficient version of GPT-5.', logo: '/public/openai-logo.png', provider: 'openai', tools: true },\n \n // OpenAI - GPT-4o Series\n { id: 'gpt-4o', name: 'GPT-4o', desc: 'High-intelligence model with vision, fast and affordable.', logo: '/public/openai-logo.png', provider: 'openai', image: true, tools: true },\n { id: 'gpt-4o-mini', name: 'GPT-4o Mini', desc: 'Small, fast, and affordable. Great for most tasks.', logo: '/public/openai-logo.png', provider: 'openai', image: true, tools: true },\n \n // OpenAI - o4 Reasoning Models (Latest)\n { id: 'o4', name: 'o4', desc: 'Latest reasoning model with enhanced capabilities.', logo: '/public/openai-logo.png', provider: 'openai', thinking: true, image: true, tools: true },\n { id: 'o4-mini', name: 'o4-mini', desc: 'Faster reasoning model optimized for coding and math.', logo: '/public/openai-logo.png', provider: 'openai', thinking: true },\n \n // OpenAI - o3 Reasoning Models\n { id: 'o3', name: 'o3', desc: 'Advanced reasoning model for complex multi-step tasks.', logo: '/public/openai-logo.png', provider: 'openai', thinking: true, image: true, tools: true },\n { id: 'o3-mini', name: 'o3-mini', desc: 'Fast, flexible reasoning for coding and problem-solving.', logo: '/public/openai-logo.png', provider: 'openai', thinking: true },\n \n // OpenAI - o1 Reasoning Models\n { id: 'o1', name: 'o1', desc: 'Original reasoning model for complex analysis.', logo: '/public/openai-logo.png', provider: 'openai', thinking: true, image: true },\n { id: 'o1-mini', name: 'o1-mini', desc: 'Efficient reasoning model for coding and math.', logo: '/public/openai-logo.png', provider: 'openai', thinking: true },\n \n // Anthropic - Claude 4 Series (Latest)\n { id: 'claude-opus-4-1-20250805', name: 'Claude Opus 4.1', desc: 'Most capable and intelligent model, setting new standards.', logo: 'vscode-icons:file-type-claude', provider: 'anthropic', thinking: true, image: true, tools: true },\n { id: 'claude-opus-4-20250514', name: 'Claude Opus 4', desc: 'Highly capable model for complex tasks.', logo: 'vscode-icons:file-type-claude', provider: 'anthropic', thinking: true, image: true, tools: true },\n { id: 'claude-sonnet-4-20250514', name: 'Claude Sonnet 4', desc: 'Excellent balance of performance, speed, and cost.', logo: 'vscode-icons:file-type-claude', provider: 'anthropic', thinking: true, image: true, tools: true },\n \n // Anthropic - Claude 3.7 Series\n { id: 'claude-3-7-sonnet-20250219', name: 'Claude 3.7 Sonnet', desc: 'Hybrid model with extended thinking capabilities.', logo: 'vscode-icons:file-type-claude', provider: 'anthropic', thinking: true, image: true, tools: true },\n \n // Anthropic - Claude 3.5 Series\n { id: 'claude-3-5-sonnet-20241022', name: 'Claude 3.5 Sonnet', desc: 'High performance for complex reasoning and coding.', logo: 'vscode-icons:file-type-claude', provider: 'anthropic', thinking: true, image: true, tools: true },\n { id: 'claude-3-5-haiku-20241022', name: 'Claude 3.5 Haiku', desc: 'Fast and cost-effective for simple tasks.', logo: 'vscode-icons:file-type-claude', provider: 'anthropic', image: true, tools: true }\n];\n\n// Default model parameters\nexport const DEFAULT_MODEL_PARAMS = {\n temperature: 0.7,\n maxTokens: 2048,\n topP: 1,\n frequencyPenalty: 0,\n presencePenalty: 0,\n // Groq-specific parameters\n reasoningEffort: 'medium',\n webSearch: false,\n codeExecution: false,\n imageDetail: 'auto',\n modelVersion: 'stable'\n};\n\n// Create default chat metadata\nexport function createChatMetadata() {\n return {\n systemPrompt: '',\n defaultModel: null, // Will use global selected model if null\n parameters: { ...DEFAULT_MODEL_PARAMS },\n createdAt: new Date().toISOString(),\n updatedAt: new Date().toISOString()\n };\n}\n\n// Create a new chat object with messages and metadata unified\nexport function createChatData(messages = [], metadata = null) {\n return {\n messages: messages,\n metadata: metadata || createChatMetadata()\n };\n}\n\n// Create message metadata for tracing\nexport function createMessageMetadata(model, params) {\n return {\n model: model || null,\n temperature: params?.temperature,\n maxTokens: params?.maxTokens,\n parameters: params ? { ...params } : {},\n timestamp: new Date().toISOString()\n };\n}\n\n// Default template parameters (same as chat settings)\nexport const DEFAULT_TEMPLATE_PARAMS = {\n ...DEFAULT_MODEL_PARAMS\n};\n\n// Create a new template object\nexport function createTemplate(name = 'New Template') {\n return {\n id: null, // Will be set when added\n name: name,\n folderId: null,\n order: 0,\n systemPrompt: '',\n defaultModel: null,\n parameters: { ...DEFAULT_TEMPLATE_PARAMS },\n createdAt: new Date().toISOString(),\n updatedAt: new Date().toISOString()\n };\n}\n\nexport function createInitialState() {\n return {\n // Main view state: 'chats' or 'templates'\n mainView: 'chats',\n \n // Sidebar state\n sidebarOpen: true,\n rightSidebarOpen: false, // Right sidebar for chat settings\n \n // Folder/Chat tree state\n folders: [],\n items: [], // Each item represents a chat with { id, name, folderId, order }\n // Unified chats structure: { [chatId]: { messages: [], metadata: { systemPrompt, defaultModel, parameters, ... } } }\n chats: {},\n nextFolderId: 1,\n nextItemId: 1,\n activeChatId: null,\n \n // Editing state\n editingFolderId: null,\n editingFolderName: '',\n editingItemId: null,\n editingItemName: '',\n \n // Drag state\n draggingItemId: null,\n draggingFolderId: null,\n draggingType: null,\n dragOverFolderId: null,\n dragOverRoot: false,\n dragOverFolderRoot: false,\n dropIndicator: null,\n \n // Menu state\n folderMenuOpen: null,\n \n // Copy feedback state\n copiedMessageId: null,\n itemMenuOpen: null,\n \n // Message editing state\n editingMessageId: null,\n editingMessageContent: '',\n \n // Reactivity helper - increment to force sidebar re-render\n itemsVersion: 0,\n \n // Chat state\n messages: [],\n messageInput: '',\n isTyping: false,\n showAttachments: false,\n showModelPicker: false,\n modelSearch: '',\n selectedModel: null,\n previewIndex: -1,\n modelPosition: 'top',\n models: MODELS,\n activeJobId: null, // Track current job for cancellation\n \n // Model configs state (loaded from API)\n modelConfigs: [],\n \n // Current chat settings (bound to right sidebar form)\n currentChatSettings: {\n systemPrompt: '',\n temperature: 0.7,\n maxTokens: 2048,\n topP: 1,\n frequencyPenalty: 0,\n presencePenalty: 0,\n reasoningEffort: 'medium',\n webSearch: false,\n codeExecution: false,\n imageDetail: 'auto',\n modelVersion: 'stable'\n },\n \n // Settings state\n showSettings: false,\n settingsTab: 'general',\n settings: {\n autoSave: true,\n showWelcomeMessage: false,\n language: 'English',\n autoScroll: true\n },\n \n // Thinking/reasoning visibility per message\n // Format: { messageId: true/false }\n thinkingVisible: {},\n \n // API Keys - stored per provider\n apiKeys: {\n groq: '', // Groq API key\n openai: '', // OpenAI API key\n anthropic: '', // Anthropic API key\n custom: '', // Custom provider API key (optional)\n },\n \n // Templates state (mirrors chat structure)\n templateFolders: [],\n templates: [], // Each template has { id, name, folderId, order, systemPrompt, defaultModel, parameters }\n nextTemplateFolderId: 1,\n nextTemplateId: 1,\n activeTemplateId: null,\n \n // Template editing state\n editingTemplateFolderId: null,\n editingTemplateFolderName: '',\n editingTemplateId: null,\n editingTemplateName: '',\n \n // Template drag state\n draggingTemplateId: null,\n draggingTemplateFolderId: null,\n dragOverTemplateFolderId: null,\n dragOverTemplateRoot: false,\n dragOverTemplateFolderRoot: false,\n templateDropIndicator: null,\n \n // Template menu state\n templateFolderMenuOpen: null,\n templateMenuOpen: null,\n \n // Current template settings (bound to right sidebar form when editing template)\n currentTemplateSettings: {\n name: '',\n systemPrompt: '',\n defaultModel: null,\n temperature: 0.7,\n maxTokens: 2048,\n topP: 1,\n frequencyPenalty: 0,\n presencePenalty: 0,\n reasoningEffort: 'medium',\n webSearch: false,\n codeExecution: false,\n imageDetail: 'auto',\n modelVersion: 'stable'\n },\n \n // Template model picker state\n templateModelOpen: false,\n templateModelSearch: '',\n \n // Templates version for reactivity\n templatesVersion: 0,\n };\n}\n\n",[],[195,1249,1267],"0bcfbf42-e2e9-11f0-a009-42dde27851f2","settings.js","0bcfbfe2-e2e9-11f0-a009-42dde27851f2",30,["D",1766815100155],"/**\n * Chat App Settings - Settings management\n */\n\nconst SETTINGS_KEY = 'chatapp-settings';\n\nexport function createSettingsMethods() {\n return {\n // Settings state (add to state.js later)\n settings: {\n autoSave: true,\n showWelcomeMessage: false,\n language: 'English',\n useStreaming: true, // Enable streaming responses by default\n autoScroll: true // Enable auto-scroll by default\n },\n \n // Toggle settings page\n toggleSettings() {\n var wasOpen = this.showSettings;\n this.showSettings = !this.showSettings;\n // Close right sidebar when opening settings\n if (this.showSettings) {\n this.rightSidebarOpen = false;\n }\n // When closing settings, check if any API key errors can be cleared\n if (wasOpen && !this.showSettings) {\n this.checkAndClearApiKeyErrors();\n }\n },\n \n // Check if API key errors in messages can be cleared (API key was added)\n checkAndClearApiKeyErrors() {\n var self = this;\n if (!Array.isArray(this.messages)) return;\n \n // First, use orchestrator to check all blocked jobs\n if (this.checkBlockedJobs) {\n var unblockedCount = this.checkBlockedJobs();\n if (unblockedCount > 0) {\n console.log('[Settings] Orchestrator unblocked', unblockedCount, 'jobs');\n }\n }\n \n // Find any API key error messages\n var hasApiKeyErrors = this.messages.some(function(m) {\n return m.role === 'error' && m.isApiKeyError;\n });\n \n if (!hasApiKeyErrors) return;\n \n // Check if the relevant provider now has an API key\n this.messages.forEach(function(msg, idx) {\n if (msg.role === 'error' && msg.isApiKeyError) {\n // Determine which provider this error was for\n var provider = self.selectedModel && self.selectedModel.provider;\n if (!provider) return;\n \n // Check if we now have an API key for this provider\n var hasKey = self.apiKeys && self.apiKeys[provider] && self.apiKeys[provider].trim().length > 0;\n \n if (hasKey) {\n // Update the error message to show it can be retried\n self.messages[idx] = {\n id: msg.id,\n role: 'error',\n content: 'API key added! Click \"Retry\" to send your message again.',\n isError: true,\n isApiKeyError: false,\n canRetry: true,\n originalProvider: provider,\n threadJobId: msg.threadJobId,\n timestamp: Date.now()\n };\n }\n }\n });\n \n // Save changes\n if (this.saveToStorage) {\n this.saveToStorage();\n }\n },\n \n // Retry a failed message (used after API key is added or for immediate retry)\n retryLastMessage() {\n if (!Array.isArray(this.messages)) return;\n \n // Find any error message (with or without canRetry flag)\n var errorMsgIdx = -1;\n var threadJobId = null;\n for (var i = this.messages.length - 1; i >= 0; i--) {\n if (this.messages[i].role === 'error') {\n errorMsgIdx = i;\n threadJobId = this.messages[i].threadJobId;\n break;\n }\n }\n \n // Find the last user message before any error\n var lastUserMsgIdx = -1;\n for (var i = this.messages.length - 1; i >= 0; i--) {\n if (this.messages[i].role === 'user') {\n lastUserMsgIdx = i;\n break;\n }\n }\n \n if (lastUserMsgIdx === -1) return;\n \n // Remove any error messages after the last user message\n var newMessages = this.messages.slice(0, lastUserMsgIdx + 1);\n this.messages = newMessages;\n \n // If there was an orchestrator job, try to retry it\n if (threadJobId && this.retryJob) {\n var success = this.retryJob(threadJobId);\n console.log('[Settings] Retry thread job:', threadJobId, success ? 'started' : 'failed');\n }\n \n // Resend the last user message\n if (this.sendChatRequest) {\n this.sendChatRequest();\n }\n \n // Save changes\n if (this.saveToStorage) {\n this.saveToStorage();\n }\n },\n \n // Cancel a job from the UI\n cancelJobFromUI(jobId) {\n if (this.cancelJob) {\n var success = this.cancelJob(jobId);\n console.log('[Settings] Cancel job:', jobId, success ? 'cancelled' : 'failed');\n \n // Remove the associated error message if present\n if (Array.isArray(this.messages)) {\n var msgIdx = this.messages.findIndex(function(m) { \n return m.threadJobId === jobId; \n });\n if (msgIdx !== -1) {\n this.messages.splice(msgIdx, 1);\n this.saveToStorage();\n }\n }\n }\n },\n \n loadSettings() {\n try {\n const stored = localStorage.getItem(SETTINGS_KEY);\n if (stored) {\n this.settings = { ...this.settings, ...JSON.parse(stored) };\n }\n } catch (e) {\n console.warn('Failed to load settings:', e);\n }\n },\n \n saveSettings() {\n try {\n localStorage.setItem(SETTINGS_KEY, JSON.stringify(this.settings));\n } catch (e) {\n console.warn('Failed to save settings:', e);\n }\n },\n \n updateSetting(key, value) {\n this.settings[key] = value;\n this.saveSettings();\n },\n \n checkForUpdate() {\n // Simple version check - in a real app this would ping a server\n const currentVersion = '1.0.0';\n alert(`Current version: ${currentVersion}\\\\n\\\\nYou are running the latest version!`);\n },\n \n exportData() {\n try {\n // Get all chat data\n const chatData = localStorage.getItem('chatapp-data');\n const settings = localStorage.getItem(SETTINGS_KEY);\n \n const exportObj = {\n version: '1.0.0',\n exportDate: new Date().toISOString(),\n chatData: chatData ? JSON.parse(chatData) : null,\n settings: settings ? JSON.parse(settings) : null\n };\n \n // Create download\n const dataStr = JSON.stringify(exportObj, null, 2);\n const dataBlob = new Blob([dataStr], { type: 'application/json' });\n const url = URL.createObjectURL(dataBlob);\n const link = document.createElement('a');\n link.href = url;\n link.download = `chatter-export-${new Date().toISOString().split('T')[0]}.json`;\n document.body.appendChild(link);\n link.click();\n document.body.removeChild(link);\n URL.revokeObjectURL(url);\n \n console.log('Data exported successfully');\n } catch (e) {\n console.error('Failed to export data:', e);\n alert('Failed to export data. Check console for details.');\n }\n },\n \n importData() {\n try {\n const input = document.createElement('input');\n input.type = 'file';\n input.accept = 'application/json';\n \n input.onchange = (e) => {\n const file = e.target.files[0];\n if (!file) return;\n \n const reader = new FileReader();\n reader.onload = (event) => {\n try {\n const importObj = JSON.parse(event.target.result);\n \n // Validate import\n if (!importObj.version || !importObj.chatData) {\n throw new Error('Invalid import file format');\n }\n \n // Confirm before importing\n if (!confirm('This will replace all current data. Continue?')) {\n return;\n }\n \n // Import chat data\n if (importObj.chatData) {\n localStorage.setItem('chatapp-data', JSON.stringify(importObj.chatData));\n }\n \n // Import settings\n if (importObj.settings) {\n localStorage.setItem(SETTINGS_KEY, JSON.stringify(importObj.settings));\n }\n \n // Reload the page to apply changes\n alert('Data imported successfully! The page will now reload.');\n window.location.reload();\n } catch (err) {\n console.error('Failed to import data:', err);\n alert('Failed to import data. Please check the file format.');\n }\n };\n \n reader.readAsText(file);\n };\n \n input.click();\n } catch (e) {\n console.error('Failed to import data:', e);\n alert('Failed to import data. Check console for details.');\n }\n },\n \n clearData() {\n if (confirm('Are you sure you want to clear all data? This cannot be undone.')) {\n if (confirm('This will delete all chats, folders, and messages. Are you absolutely sure?')) {\n try {\n localStorage.removeItem('chatapp-data');\n localStorage.removeItem(SETTINGS_KEY);\n \n // Reset state\n this.folders = [];\n this.items = [];\n this.chats = {};\n this.nextFolderId = 1;\n this.nextItemId = 1;\n this.activeChatId = null;\n this.messages = [];\n this.settings = {\n autoSave: true,\n showWelcomeMessage: false,\n language: 'English',\n useStreaming: true\n };\n \n alert('All data cleared successfully!');\n } catch (e) {\n console.error('Failed to clear data:', e);\n alert('Failed to clear data. Check console for details.');\n }\n }\n }\n }\n };\n}\n\n",[],[195,1249,1275],"3c2110f6-ef19-11f0-8520-42dde27851f2","providerSettings.js","0ba175e2-e2e9-11f0-8def-42dde27851f2",164,["D",1768155211043],"/**\n * Provider Settings - Manage API keys, base URLs, and model configurations\n * Loads defaults from server configs and allows user customization via localStorage\n */\n\nvar PROVIDER_SETTINGS_KEY = 'chatapp-provider-settings';\nvar PROVIDER_SETTINGS_VERSION = 2; // Increment this when DEFAULT_MODELS changes significantly\n\n// Default provider configurations\nvar DEFAULT_PROVIDERS = {\n groq: {\n name: 'Groq',\n baseUrl: 'https://api.groq.com/openai/v1',\n logo: '/public/groq-logo-orange.png',\n docsUrl: 'https://console.groq.com/docs',\n apiKeyUrl: 'https://console.groq.com/keys',\n apiKeyPrefix: 'gsk_'\n },\n openai: {\n name: 'OpenAI',\n baseUrl: 'https://api.openai.com/v1',\n logo: '/public/openai-logo.png',\n docsUrl: 'https://platform.openai.com/docs',\n apiKeyUrl: 'https://platform.openai.com/api-keys',\n apiKeyPrefix: 'sk-'\n },\n anthropic: {\n name: 'Anthropic',\n baseUrl: 'https://api.anthropic.com/v1',\n logo: 'vscode-icons:file-type-claude',\n docsUrl: 'https://docs.anthropic.com',\n apiKeyUrl: 'https://console.anthropic.com/settings/keys',\n apiKeyPrefix: 'sk-ant-'\n },\n custom: {\n name: 'Custom',\n baseUrl: 'https://llm.labspace.ai/v1',\n logo: '/public/custom-logo.png',\n docsUrl: '',\n apiKeyUrl: '',\n apiKeyPrefix: ''\n }\n};\n\n// Default models based on provider configs\nvar DEFAULT_MODELS = [\n // Groq models\n { id: 'groq/compound', name: 'Compound', provider: 'groq', desc: 'AI system with built-in tools including web search and code execution.', capabilities: { web: true, tools: true, streaming: true } },\n { id: 'groq/compound-mini', name: 'Compound Mini', provider: 'groq', desc: 'Faster, lighter version with web search and code execution.', capabilities: { web: true, tools: true, streaming: true } },\n { id: 'llama-3.1-8b-instant', name: 'Llama 3.1 8B Instant', provider: 'groq', desc: 'Ultra-fast 8B model for instant responses (560 t/s).', capabilities: { streaming: true } },\n { id: 'llama-3.3-70b-versatile', name: 'Llama 3.3 70B Versatile', provider: 'groq', desc: 'Versatile 70B model for a wide range of tasks (280 t/s).', capabilities: { streaming: true } },\n { id: 'meta-llama/llama-4-maverick-17b-128e-instruct', name: 'Llama 4 Maverick 17B', provider: 'groq', desc: 'Powerful image understanding and analysis (600 t/s).', capabilities: { image: true, streaming: true }, preview: true },\n { id: 'meta-llama/llama-4-scout-17b-16e-instruct', name: 'Llama 4 Scout 17B', provider: 'groq', desc: 'Fast responses with image support (750 t/s).', capabilities: { image: true, streaming: true }, preview: true },\n { id: 'openai/gpt-oss-120b', name: 'GPT OSS 120B', provider: 'groq', desc: 'Flagship 120B parameter model with browser search and reasoning.', capabilities: { web: true, thinking: true, tools: true, streaming: true } },\n { id: 'openai/gpt-oss-20b', name: 'GPT OSS 20B', provider: 'groq', desc: 'Fast 20B model with web search, thinking, and code execution.', capabilities: { web: true, thinking: true, tools: true, streaming: true } },\n { id: 'moonshotai/kimi-k2-instruct-0905', name: 'Kimi K2', provider: 'groq', desc: 'Highly capable for writing and coding with 262K context.', capabilities: { streaming: true }, preview: true },\n { id: 'qwen/qwen3-32b', name: 'Qwen3-32B', provider: 'groq', desc: 'Multilingual responses with thinking capabilities.', capabilities: { thinking: true, streaming: true }, preview: true },\n \n // OpenAI models - GPT-5.2 Series (Latest)\n { id: 'gpt-5.2', name: 'GPT-5.2', provider: 'openai', desc: 'Most advanced model for coding and agentic tasks across industries.', capabilities: { image: true, streaming: true, tools: true } },\n { id: 'gpt-5.2-pro', name: 'GPT-5.2 Pro', provider: 'openai', desc: 'Version of GPT-5.2 that produces smarter and more precise responses.', capabilities: { image: true, streaming: true, tools: true } },\n { id: 'gpt-5-mini', name: 'GPT-5 Mini', provider: 'openai', desc: 'Faster, cost-efficient version of GPT-5 for well-defined tasks.', capabilities: { image: true, streaming: true, tools: true } },\n { id: 'gpt-5-nano', name: 'GPT-5 Nano', provider: 'openai', desc: 'Fastest, most cost-efficient version of GPT-5.', capabilities: { streaming: true, tools: true } },\n \n // OpenAI - GPT-4o Series\n { id: 'gpt-4o', name: 'GPT-4o', provider: 'openai', desc: 'High-intelligence model with vision, fast and affordable.', capabilities: { image: true, streaming: true, tools: true } },\n { id: 'gpt-4o-mini', name: 'GPT-4o Mini', provider: 'openai', desc: 'Small, fast, and affordable. Great for most tasks.', capabilities: { image: true, streaming: true, tools: true } },\n { id: 'chatgpt-4o-latest', name: 'ChatGPT-4o Latest', provider: 'openai', desc: 'Dynamic model continuously updated to current ChatGPT version.', capabilities: { image: true, streaming: true, tools: true } },\n \n // OpenAI - o4 Reasoning Models (Latest)\n { id: 'o4', name: 'o4', provider: 'openai', desc: 'Latest reasoning model with enhanced capabilities and configurable effort.', capabilities: { thinking: true, streaming: true, image: true, tools: true } },\n { id: 'o4-mini', name: 'o4-mini', provider: 'openai', desc: 'Faster reasoning model optimized for coding, math, and science.', capabilities: { thinking: true, streaming: true } },\n \n // OpenAI - o3 Reasoning Models\n { id: 'o3', name: 'o3', provider: 'openai', desc: 'Advanced reasoning model for complex multi-step tasks.', capabilities: { thinking: true, streaming: true, image: true, tools: true } },\n { id: 'o3-mini', name: 'o3-mini', provider: 'openai', desc: 'Fast, flexible reasoning for coding and problem-solving.', capabilities: { thinking: true, streaming: true } },\n \n // OpenAI - o1 Reasoning Models\n { id: 'o1', name: 'o1', provider: 'openai', desc: 'Original reasoning model for complex analysis.', capabilities: { thinking: true, streaming: true, image: true } },\n { id: 'o1-mini', name: 'o1-mini', provider: 'openai', desc: 'Efficient reasoning model for coding and math.', capabilities: { thinking: true, streaming: true } },\n { id: 'o1-pro', name: 'o1-pro', provider: 'openai', desc: 'Enhanced compute for hard problems.', capabilities: { thinking: true, streaming: true, image: true } },\n \n // Anthropic - Claude 4 Series (Latest)\n { id: 'claude-opus-4-1-20250805', name: 'Claude Opus 4.1', provider: 'anthropic', desc: 'Most capable and intelligent model, setting new standards in complex reasoning.', capabilities: { thinking: true, image: true, streaming: true, tools: true } },\n { id: 'claude-opus-4-20250514', name: 'Claude Opus 4', provider: 'anthropic', desc: 'Highly capable model for complex tasks requiring deep reasoning.', capabilities: { thinking: true, image: true, streaming: true, tools: true } },\n { id: 'claude-sonnet-4-20250514', name: 'Claude Sonnet 4', provider: 'anthropic', desc: 'Excellent balance of performance, speed, and cost with extended thinking.', capabilities: { thinking: true, image: true, streaming: true, tools: true } },\n \n // Anthropic - Claude 3.7 Series\n { id: 'claude-3-7-sonnet-20250219', name: 'Claude 3.7 Sonnet', provider: 'anthropic', desc: 'Hybrid model with extended thinking capabilities.', capabilities: { thinking: true, image: true, streaming: true, tools: true } },\n \n // Anthropic - Claude 3.5 Series\n { id: 'claude-3-5-sonnet-20241022', name: 'Claude 3.5 Sonnet', provider: 'anthropic', desc: 'High performance for complex reasoning and coding.', capabilities: { thinking: true, image: true, streaming: true, tools: true } },\n { id: 'claude-3-5-haiku-20241022', name: 'Claude 3.5 Haiku', provider: 'anthropic', desc: 'Fast and cost-effective for simple tasks.', capabilities: { image: true, streaming: true, tools: true } },\n \n // Anthropic - Claude 3 Series (Legacy)\n { id: 'claude-3-opus-20240229', name: 'Claude 3 Opus', provider: 'anthropic', desc: 'Highly capable for complex analysis and coding.', capabilities: { image: true, streaming: true, tools: true } },\n { id: 'claude-3-sonnet-20240229', name: 'Claude 3 Sonnet', provider: 'anthropic', desc: 'Balanced performance and cost.', capabilities: { image: true, streaming: true, tools: true } },\n { id: 'claude-3-haiku-20240307', name: 'Claude 3 Haiku', provider: 'anthropic', desc: 'Fastest Claude 3 model.', capabilities: { streaming: true, tools: true } }\n];\n\nexport function createProviderSettingsMethods() {\n return {\n // Provider settings state\n providerSettings: {\n providers: {}, // { groq: { baseUrl, apiKey }, openai: {...} }\n models: [], // User's configured models\n loaded: false\n },\n \n // UI state for provider settings\n providerSettingsUI: {\n editingModelId: null,\n editingModelName: '',\n addingModelToProvider: null,\n newModelId: '',\n expandedProvider: 'groq', // Which provider section is expanded\n discoveringModels: false,\n discoveryError: null,\n testingConnection: false,\n connectionTestResult: null\n },\n \n // Load provider settings from localStorage, merging with defaults\n loadProviderSettings() {\n try {\n var stored = localStorage.getItem(PROVIDER_SETTINGS_KEY);\n var parsed = stored ? JSON.parse(stored) : {};\n \n // Check version - if old version or no version, reset to defaults\n if (!parsed.version || parsed.version < PROVIDER_SETTINGS_VERSION) {\n console.log('[ProviderSettings] Old version detected, resetting to defaults');\n parsed = { version: PROVIDER_SETTINGS_VERSION };\n }\n \n // Merge with defaults for providers\n var providers = {};\n Object.keys(DEFAULT_PROVIDERS).forEach(function(key) {\n providers[key] = Object.assign(\n {},\n DEFAULT_PROVIDERS[key],\n parsed.providers ? parsed.providers[key] : {}\n );\n });\n \n // Also load any additional custom providers (custom2, custom3, etc.)\n if (parsed.providers) {\n Object.keys(parsed.providers).forEach(function(key) {\n if (key.startsWith('custom') && key !== 'custom' && !providers[key]) {\n providers[key] = Object.assign(\n {},\n {\n name: 'Custom Provider',\n baseUrl: '',\n logo: 'lucide:server',\n docsUrl: '',\n apiKeyUrl: '',\n apiKeyPrefix: ''\n },\n parsed.providers[key]\n );\n }\n });\n }\n \n // For models, use stored if available AND not empty, otherwise use defaults\n var models = (parsed.models && parsed.models.length > 0) \n ? parsed.models \n : JSON.parse(JSON.stringify(DEFAULT_MODELS));\n \n // Safety check: if models is still empty (shouldn't happen), force defaults\n if (!models || models.length === 0) {\n console.warn('[ProviderSettings] Models array was empty, forcing defaults');\n models = JSON.parse(JSON.stringify(DEFAULT_MODELS));\n }\n \n this.providerSettings = {\n providers: providers,\n models: models,\n loaded: true,\n version: PROVIDER_SETTINGS_VERSION\n };\n \n // Also sync apiKeys from storage (these are stored separately)\n if (this.apiKeys) {\n Object.keys(providers).forEach(function(key) {\n if (this.apiKeys[key]) {\n providers[key].apiKey = this.apiKeys[key];\n }\n }.bind(this));\n }\n \n // Update the global models list for the picker\n this.updateGlobalModelsList();\n \n console.log('[ProviderSettings] Loaded', models.length, 'models');\n } catch (e) {\n console.warn('Failed to load provider settings:', e);\n this.providerSettings = {\n providers: JSON.parse(JSON.stringify(DEFAULT_PROVIDERS)),\n models: JSON.parse(JSON.stringify(DEFAULT_MODELS)),\n loaded: true,\n version: PROVIDER_SETTINGS_VERSION\n };\n this.updateGlobalModelsList();\n }\n },\n \n // Save provider settings to localStorage\n saveProviderSettings() {\n try {\n var data = {\n version: PROVIDER_SETTINGS_VERSION,\n providers: {},\n models: this.providerSettings.models\n };\n \n // Only save user-modified provider settings (not defaults)\n Object.keys(this.providerSettings.providers).forEach(function(key) {\n var provider = this.providerSettings.providers[key];\n data.providers[key] = {\n baseUrl: provider.baseUrl,\n name: provider.name // Save custom provider name\n // Don't save apiKey here - it's stored separately\n };\n }.bind(this));\n \n localStorage.setItem(PROVIDER_SETTINGS_KEY, JSON.stringify(data));\n console.log('[ProviderSettings] Saved');\n } catch (e) {\n console.warn('Failed to save provider settings:', e);\n }\n },\n \n // Reset provider settings to defaults\n resetProviderSettings() {\n if (confirm('Reset all provider settings to defaults? This will remove any custom models you have added.')) {\n localStorage.removeItem(PROVIDER_SETTINGS_KEY);\n this.loadProviderSettings();\n this.updateGlobalModelsList();\n }\n },\n \n // Add a new custom provider\n addCustomProvider() {\n // Find the next available custom provider ID\n var existingCustomIds = Object.keys(this.providerSettings.providers)\n .filter(function(key) { return key.startsWith('custom'); })\n .map(function(key) {\n var num = parseInt(key.replace('custom', '')) || 1;\n return num;\n });\n \n var nextNum = existingCustomIds.length > 0 ? Math.max.apply(null, existingCustomIds) + 1 : 2;\n var newProviderId = 'custom' + nextNum;\n \n // Create the new provider\n this.providerSettings.providers[newProviderId] = {\n name: 'Custom Provider ' + nextNum,\n baseUrl: '',\n logo: 'lucide:server',\n docsUrl: '',\n apiKeyUrl: '',\n apiKeyPrefix: ''\n };\n \n // Initialize API key for this provider\n this.apiKeys[newProviderId] = '';\n \n // Save settings\n this.saveProviderSettings();\n \n console.log('[ProviderSettings] Added new custom provider:', newProviderId);\n },\n \n // Delete a custom provider\n deleteCustomProvider(providerId) {\n if (!providerId.startsWith('custom')) {\n console.warn('Cannot delete built-in provider:', providerId);\n return;\n }\n \n if (providerId === 'custom') {\n console.warn('Cannot delete the primary custom provider');\n return;\n }\n \n if (!confirm('Delete this custom provider and all its models?')) {\n return;\n }\n \n // Remove provider\n delete this.providerSettings.providers[providerId];\n \n // Remove associated models\n this.providerSettings.models = this.providerSettings.models.filter(function(m) {\n return m.provider !== providerId;\n });\n \n // Remove API key\n delete this.apiKeys[providerId];\n \n // Save settings\n this.saveProviderSettings();\n this.updateGlobalModelsList();\n \n console.log('[ProviderSettings] Deleted custom provider:', providerId);\n },\n \n // Get all custom provider IDs (including the primary 'custom')\n getCustomProviderIds() {\n return Object.keys(this.providerSettings.providers)\n .filter(function(key) { return key.startsWith('custom'); })\n .sort();\n },\n \n // Get models for a specific provider\n getModelsForProvider(providerId) {\n return this.providerSettings.models.filter(function(m) {\n return m.provider === providerId;\n });\n },\n \n // Update provider base URL\n updateProviderBaseUrl(providerId, url) {\n if (this.providerSettings.providers[providerId]) {\n this.providerSettings.providers[providerId].baseUrl = url;\n this.saveProviderSettings();\n }\n },\n \n // Update provider name\n updateProviderName(providerId, name) {\n if (this.providerSettings.providers[providerId]) {\n this.providerSettings.providers[providerId].name = name;\n this.saveProviderSettings();\n // Update model descriptions with new provider name\n this.updateGlobalModelsList();\n }\n },\n \n // Start editing a model name\n startEditingModel(modelId, currentName) {\n this.providerSettingsUI.editingModelId = modelId;\n this.providerSettingsUI.editingModelName = currentName;\n \n // Focus the input after Alpine renders\n var self = this;\n this.$nextTick(function() {\n var input = document.querySelector('[data-model-edit=\"' + modelId + '\"]');\n if (input) {\n input.focus();\n input.select();\n }\n });\n },\n \n // Commit editing a model name\n commitEditingModel() {\n var modelId = this.providerSettingsUI.editingModelId;\n var newName = this.providerSettingsUI.editingModelName.trim();\n \n if (modelId && newName) {\n var model = this.providerSettings.models.find(function(m) {\n return m.id === modelId;\n });\n if (model) {\n model.name = newName;\n this.saveProviderSettings();\n }\n }\n \n this.providerSettingsUI.editingModelId = null;\n this.providerSettingsUI.editingModelName = '';\n },\n \n // Cancel editing\n cancelEditingModel() {\n this.providerSettingsUI.editingModelId = null;\n this.providerSettingsUI.editingModelName = '';\n },\n \n // Start adding a new model\n startAddingModel(providerId) {\n this.providerSettingsUI.addingModelToProvider = providerId;\n this.providerSettingsUI.newModelId = '';\n \n var self = this;\n this.$nextTick(function() {\n var input = document.querySelector('[data-new-model-input=\"' + providerId + '\"]');\n if (input) {\n input.focus();\n }\n });\n },\n \n // Commit adding a new model\n commitAddingModel() {\n var providerId = this.providerSettingsUI.addingModelToProvider;\n var modelId = this.providerSettingsUI.newModelId.trim();\n \n if (providerId && modelId) {\n // Check if model already exists\n var exists = this.providerSettings.models.find(function(m) {\n return m.id === modelId;\n });\n \n if (exists) {\n alert('Model with this ID already exists');\n return;\n }\n \n // Add new model (active by default)\n var provider = this.providerSettings.providers[providerId];\n var providerName = provider?.name || providerId;\n \n // Extract hostname from baseUrl for custom providers\n if (providerId && providerId.startsWith('custom') && provider?.baseUrl) {\n try {\n var url = new URL(provider.baseUrl);\n providerName = url.hostname;\n } catch (e) {\n providerName = provider?.name || 'Custom';\n }\n }\n \n this.providerSettings.models.push({\n id: modelId,\n name: modelId, // Use ID as initial name, user can edit\n provider: providerId,\n desc: providerName + ' model',\n capabilities: { streaming: true },\n active: true\n });\n \n this.saveProviderSettings();\n this.updateGlobalModelsList();\n }\n \n this.providerSettingsUI.addingModelToProvider = null;\n this.providerSettingsUI.newModelId = '';\n },\n \n // Cancel adding\n cancelAddingModel() {\n this.providerSettingsUI.addingModelToProvider = null;\n this.providerSettingsUI.newModelId = '';\n },\n \n // Delete a model\n deleteModel(modelId) {\n if (confirm('Delete this model from your configuration?')) {\n this.providerSettings.models = this.providerSettings.models.filter(function(m) {\n return m.id !== modelId;\n });\n this.saveProviderSettings();\n this.updateGlobalModelsList();\n }\n },\n \n // Toggle model capability\n toggleModelCapability(modelId, capability) {\n var model = this.providerSettings.models.find(function(m) {\n return m.id === modelId;\n });\n if (model) {\n if (!model.capabilities) model.capabilities = {};\n model.capabilities[capability] = !model.capabilities[capability];\n this.saveProviderSettings();\n }\n },\n \n // Toggle model active/inactive (show/hide in model picker)\n toggleModelActive(modelId) {\n var model = this.providerSettings.models.find(function(m) {\n return m.id === modelId;\n });\n if (model) {\n // Default to true if undefined, so toggle to false\n model.active = model.active === false ? true : false;\n this.saveProviderSettings();\n \n // Also update the global models list used by the picker\n this.updateGlobalModelsList();\n }\n },\n \n // Enable all models for a provider\n enableAllModels(providerId) {\n var models = this.getModelsForProvider(providerId);\n models.forEach(function(m) {\n m.active = true;\n });\n this.saveProviderSettings();\n this.updateGlobalModelsList();\n },\n \n // Disable all models for a provider\n disableAllModels(providerId) {\n var models = this.getModelsForProvider(providerId);\n models.forEach(function(m) {\n m.active = false;\n });\n this.saveProviderSettings();\n this.updateGlobalModelsList();\n },\n \n // Update the global models list (used by model picker) from provider settings\n updateGlobalModelsList() {\n // Get all active models from provider settings\n var activeModels = this.providerSettings.models.filter(function(m) {\n return m.active !== false; // Show by default if not set\n });\n \n // Get provider logos\n var providerLogos = {\n groq: '/public/groq-logo-orange.png',\n openai: '/public/openai-logo.png',\n anthropic: 'vscode-icons:file-type-claude',\n custom: 'lucide:message-square'\n };\n \n // Helper function to get provider display name\n var self = this;\n var getProviderDisplayName = function(providerId) {\n var provider = self.providerSettings.providers[providerId];\n if (!provider) return providerId;\n \n // For custom providers (custom, custom2, etc.), use custom name or extract from URL\n if (providerId && providerId.startsWith('custom')) {\n if (provider.name) {\n return provider.name;\n }\n if (provider.baseUrl) {\n try {\n var url = new URL(provider.baseUrl);\n return url.hostname;\n } catch (e) {\n return 'Custom';\n }\n }\n return 'Custom';\n }\n \n // For other providers, use their name\n return provider.name || providerId;\n };\n \n // Update the main models array used by the picker\n // Use a Map to deduplicate by model ID (keep first occurrence)\n var seenIds = {};\n var dedupedModels = [];\n activeModels.forEach(function(m) {\n if (!seenIds[m.id]) {\n seenIds[m.id] = true;\n dedupedModels.push(m);\n }\n });\n \n this.models = dedupedModels.map(function(m) {\n // Generate description dynamically based on current provider settings\n var providerDisplayName = getProviderDisplayName(m.provider);\n var desc = m.desc;\n \n // Update description for custom provider models to use current provider name\n if (m.provider && m.provider.startsWith('custom')) {\n desc = providerDisplayName + ' model';\n }\n \n return {\n id: m.id,\n name: m.name,\n desc: desc,\n logo: providerLogos[m.provider] || 'lucide:message-square',\n provider: m.provider,\n web: m.capabilities?.web,\n thinking: m.capabilities?.thinking,\n image: m.capabilities?.image,\n tools: m.capabilities?.tools,\n preview: m.preview\n };\n });\n \n // If current selected model is no longer active, select the first available\n if (this.selectedModel) {\n var stillActive = this.models.find(function(m) {\n return m.id === this.selectedModel.id;\n }.bind(this));\n \n if (!stillActive && this.models.length > 0) {\n this.selectedModel = this.models[0];\n }\n }\n },\n \n // Update model description\n updateModelDescription(modelId, desc) {\n var model = this.providerSettings.models.find(function(m) {\n return m.id === modelId;\n });\n if (model) {\n model.desc = desc;\n this.saveProviderSettings();\n }\n },\n \n // Discover models from a custom endpoint\n async discoverModels(providerId) {\n var provider = this.providerSettings.providers[providerId];\n if (!provider || !provider.baseUrl) {\n this.providerSettingsUI.discoveryError = 'Please enter a base URL first';\n return;\n }\n \n this.providerSettingsUI.discoveringModels = true;\n this.providerSettingsUI.discoveryError = null;\n \n try {\n var apiKey = this.apiKeys ? this.apiKeys[providerId] : null;\n \n var response = await fetch('/api/providers/discover-models', {\n method: 'POST',\n headers: { 'Content-Type': 'application/json' },\n body: JSON.stringify({\n baseUrl: provider.baseUrl,\n apiKey: apiKey,\n provider: providerId\n })\n });\n \n var data = await response.json();\n \n if (!response.ok || data.error) {\n throw new Error(data.error || data.details || 'Failed to discover models');\n }\n \n if (data.models && data.models.length > 0) {\n var addedCount = 0;\n var self = this;\n \n data.models.forEach(function(model) {\n // Check if model already exists\n var exists = self.providerSettings.models.find(function(m) {\n return m.id === model.id;\n });\n \n if (!exists) {\n // Get provider name - use custom name if set, otherwise extract from URL\n var providerName = 'Custom';\n if (provider.name) {\n providerName = provider.name;\n } else if (provider.baseUrl) {\n try {\n var url = new URL(provider.baseUrl);\n providerName = url.hostname;\n } catch (e) {\n providerName = 'Custom';\n }\n }\n \n self.providerSettings.models.push({\n id: model.id,\n name: model.name || model.id,\n provider: providerId,\n desc: providerName + ' model' + (model.owned_by && model.owned_by !== 'organization_owner' ? ' • ' + model.owned_by : ''),\n capabilities: { streaming: true },\n active: true\n });\n addedCount++;\n }\n });\n \n if (addedCount > 0) {\n this.saveProviderSettings();\n this.updateGlobalModelsList();\n // Success - models added silently\n } else {\n // All models already exist - no action needed\n }\n } else {\n this.providerSettingsUI.discoveryError = 'No models found at this endpoint';\n }\n } catch (error) {\n console.error('[discoverModels] Error:', error);\n this.providerSettingsUI.discoveryError = error.message || 'Failed to discover models';\n } finally {\n this.providerSettingsUI.discoveringModels = false;\n }\n },\n \n // Test connection to a provider\n async testConnection(providerId) {\n var provider = this.providerSettings.providers[providerId];\n \n this.providerSettingsUI.testingConnection = true;\n this.providerSettingsUI.connectionTestResult = null;\n \n try {\n var apiKey = this.apiKeys ? this.apiKeys[providerId] : null;\n \n var response = await fetch('/api/providers/test-connection', {\n method: 'POST',\n headers: { 'Content-Type': 'application/json' },\n body: JSON.stringify({\n baseUrl: provider ? provider.baseUrl : null,\n apiKey: apiKey,\n provider: providerId\n })\n });\n \n var data = await response.json();\n \n this.providerSettingsUI.connectionTestResult = {\n success: data.success,\n message: data.message || data.error,\n modelCount: data.modelCount\n };\n } catch (error) {\n console.error('[testConnection] Error:', error);\n this.providerSettingsUI.connectionTestResult = {\n success: false,\n message: error.message || 'Connection test failed'\n };\n } finally {\n this.providerSettingsUI.testingConnection = false;\n }\n },\n \n // Get capability badge class\n getCapabilityBadgeClass(capability) {\n switch(capability) {\n case 'web': return 'badge-info';\n case 'thinking': return 'badge-purple';\n case 'image': return 'badge-success';\n case 'tools': return 'badge-warning';\n case 'streaming': return 'badge-neutral';\n default: return 'badge-neutral';\n }\n },\n \n // Get capability icon\n getCapabilityIcon(capability) {\n switch(capability) {\n case 'web': return 'mdi:web';\n case 'thinking': return 'mdi:brain';\n case 'image': return 'mdi:image-outline';\n case 'tools': return 'mdi:tools';\n case 'streaming': return 'mdi:lightning-bolt';\n default: return 'mdi:help-circle-outline';\n }\n },\n \n // Get provider logo path\n getProviderLogo(providerId) {\n var logos = {\n groq: '/public/groq-logo-orange.png',\n openai: '/public/openai-logo.png',\n anthropic: 'vscode-icons:file-type-claude',\n custom: '/public/custom-logo.png'\n };\n return logos[providerId] || '/public/custom-logo.png';\n }\n };\n}\n",[],[195,1249,1283],"3c2a7fc4-ef19-11f0-93af-42dde27851f2","models.js","0b834310-e2e9-11f0-b141-42dde27851f2",166,["D",1768155211096],"/**\n * Chat App Models - Model picker functionality\n * \n * Uses unified chat structure: chats[id] = { messages: [], metadata: {...} }\n */\n\nimport { createChatData, createChatMetadata } from './state.js';\n\nexport function createModelMethods() {\n return {\n initPreviewIndex() {\n if (this.selectedModel) {\n const idx = this.filteredModels.findIndex(m => m.id === this.selectedModel.id);\n this.previewIndex = idx >= 0 ? idx : 0;\n } else {\n this.previewIndex = 0;\n }\n },\n \n handleModelKeydown(event) {\n const filtered = this.filteredModels;\n if (filtered.length === 0) return;\n \n if (event.key === 'ArrowDown') {\n event.preventDefault();\n this.previewIndex = Math.min(this.previewIndex + 1, filtered.length - 1);\n this.scrollPreviewIntoView();\n } else if (event.key === 'ArrowUp') {\n event.preventDefault();\n this.previewIndex = Math.max(this.previewIndex - 1, 0);\n this.scrollPreviewIntoView();\n } else if (event.key === 'Enter') {\n event.preventDefault();\n if (this.previewIndex >= 0 && this.previewIndex < filtered.length) {\n this.selectModel(filtered[this.previewIndex]);\n }\n } else if (event.key === 'Escape') {\n event.preventDefault();\n this.showModelPicker = false;\n this.modelSearch = '';\n }\n },\n \n scrollPreviewIntoView() {\n this.$nextTick(() => {\n const list = this.$refs.modelList;\n const items = list?.querySelectorAll('.model-picker-item');\n if (items && items[this.previewIndex]) {\n items[this.previewIndex].scrollIntoView({ block: 'nearest' });\n }\n });\n },\n \n selectModel(model) {\n this.selectedModel = model;\n this.showModelPicker = false;\n this.modelSearch = '';\n \n // Save selected model to current chat's unified metadata\n if (this.activeChatId) {\n // Ensure chat exists with proper structure\n if (!this.chats[this.activeChatId]) {\n this.chats[this.activeChatId] = createChatData();\n }\n // Ensure metadata exists\n if (!this.chats[this.activeChatId].metadata) {\n this.chats[this.activeChatId].metadata = createChatMetadata();\n }\n \n this.chats[this.activeChatId].metadata.defaultModel = model.id;\n this.chats[this.activeChatId].metadata.updatedAt = new Date().toISOString();\n \n console.log('[selectModel] Saved model to chat', this.activeChatId, ':', model.id);\n \n // Trigger save\n if (this.saveToStorage) {\n this.saveToStorage();\n }\n }\n \n this.$nextTick(() => {\n if (this.$refs.input) {\n this.$refs.input.focus();\n }\n });\n },\n \n setupModelPickerWatchers() {\n this.$watch('showModelPicker', (value) => {\n if (value) {\n this.$nextTick(() => {\n const trigger = this.$refs.modelTrigger;\n const dropdown = this.$refs.modelDropdown;\n if (trigger && dropdown) {\n const triggerRect = trigger.getBoundingClientRect();\n const dropdownRect = dropdown.getBoundingClientRect();\n const viewportHeight = window.innerHeight;\n \n if (triggerRect.bottom + dropdownRect.height > viewportHeight && triggerRect.top > dropdownRect.height) {\n this.modelPosition = 'top';\n } else {\n this.modelPosition = 'bottom';\n }\n }\n this.initPreviewIndex();\n if (this.$refs.modelSearchInput) {\n this.$refs.modelSearchInput.focus();\n }\n });\n } else {\n this.modelSearch = '';\n this.previewIndex = -1;\n }\n });\n \n this.$watch('modelSearch', () => this.initPreviewIndex());\n },\n \n // Get display name for a model ID (used in message metadata badges)\n getModelDisplayName(modelId) {\n if (!modelId) return 'Unknown';\n \n // Try to find the model in the models list\n const model = this.models.find(m => m.id === modelId);\n if (model && model.name) {\n return model.name;\n }\n \n // Fallback: format the model ID nicely\n // Handle common patterns like \"provider/model-name\" or \"model-name-version\"\n const parts = modelId.split('/');\n const modelPart = parts[parts.length - 1];\n \n // Clean up common patterns\n return modelPart\n .replace(/-/g, ' ')\n .replace(/_/g, ' ')\n .split(' ')\n .map(word => word.charAt(0).toUpperCase() + word.slice(1))\n .join(' ')\n .substring(0, 30); // Limit length\n },\n };\n}\n",[],[195,1249,1291],"3c53575a-ef19-11f0-9a7f-42dde27851f2","messaging.js","0ba63ece-e2e9-11f0-a009-42dde27851f2",170,["D",1768155211227],"/**\n * Chat App Messaging - Message sending, receiving, and API calls\n */\n\nimport { createMonacoEditor, addCopyButton } from \"../monaco-utils.js\";\n\nexport function createMessagingMethods(marked) {\n return {\n renderMessage(content) {\n return marked.parse(content);\n },\n\n ensureMonacoForViewer() {\n return new Promise((resolve, reject) => {\n if (window.monaco && window.monaco.editor) {\n resolve(window.monaco);\n return;\n }\n\n if (!window.require && (typeof require === 'undefined')) {\n reject(new Error('RequireJS not available'));\n return;\n }\n\n const req = window.require || require;\n\n if (!window._monacoConfigured) {\n req.config({\n paths: { 'vs': 'https://cdnjs.cloudflare.com/ajax/libs/monaco-editor/0.30.1/min/vs' }\n });\n window._monacoConfigured = true;\n }\n\n req(['vs/editor/editor.main'], () => {\n if (window.monaco && window.monaco.editor) {\n resolve(window.monaco);\n } else {\n reject(new Error('Monaco loaded but window.monaco.editor is unavailable'));\n }\n }, (err) => reject(err));\n });\n },\n\n ensureCodeViewer() {\n if (this._codeViewer) return this._codeViewer;\n\n const overlay = document.createElement('div');\n overlay.setAttribute('data-monaco-viewer', 'true');\n Object.assign(overlay.style, {\n position: 'fixed',\n inset: '0',\n zIndex: '9999',\n display: 'none',\n backgroundColor: 'rgba(0,0,0,0.55)',\n backdropFilter: 'blur(6px)'\n });\n\n const panel = document.createElement('div');\n Object.assign(panel.style, {\n position: 'absolute',\n left: '50%',\n top: '50%',\n transform: 'translate(-50%, -50%)',\n width: 'min(1100px, calc(100vw - 32px))',\n height: 'min(740px, calc(100vh - 32px))',\n background: 'var(--viewer-bg, #0b1220)',\n border: '1px solid rgba(148,163,184,0.25)',\n borderRadius: '14px',\n overflow: 'hidden',\n boxShadow: '0 20px 60px rgba(0,0,0,0.45)',\n display: 'flex',\n flexDirection: 'column'\n });\n\n const header = document.createElement('div');\n Object.assign(header.style, {\n display: 'flex',\n alignItems: 'center',\n justifyContent: 'space-between',\n padding: '10px 12px',\n background: 'rgba(15,23,42,0.9)',\n borderBottom: '1px solid rgba(148,163,184,0.18)',\n color: '#e2e8f0',\n fontFamily: \"ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, monospace\",\n fontSize: '12px'\n });\n\n const title = document.createElement('div');\n title.textContent = 'Code Viewer';\n Object.assign(title.style, { opacity: '0.9' });\n\n const actions = document.createElement('div');\n Object.assign(actions.style, { display: 'flex', gap: '8px', alignItems: 'center' });\n\n const copyBtn = document.createElement('button');\n copyBtn.type = 'button';\n copyBtn.textContent = 'Copy';\n Object.assign(copyBtn.style, {\n padding: '6px 10px',\n borderRadius: '8px',\n border: '1px solid rgba(148,163,184,0.25)',\n background: 'rgba(30,41,59,0.9)',\n color: '#e2e8f0',\n cursor: 'pointer'\n });\n\n const closeBtn = document.createElement('button');\n closeBtn.type = 'button';\n closeBtn.textContent = 'Close';\n Object.assign(closeBtn.style, {\n padding: '6px 10px',\n borderRadius: '8px',\n border: '1px solid rgba(148,163,184,0.25)',\n background: 'rgba(30,41,59,0.9)',\n color: '#e2e8f0',\n cursor: 'pointer'\n });\n\n const body = document.createElement('div');\n Object.assign(body.style, {\n position: 'relative',\n flex: '1',\n minHeight: '0',\n background: '#0b1220'\n });\n\n const editorHost = document.createElement('div');\n Object.assign(editorHost.style, {\n position: 'absolute',\n inset: '0'\n });\n\n const fallbackPre = document.createElement('pre');\n Object.assign(fallbackPre.style, {\n position: 'absolute',\n inset: '0',\n margin: '0',\n padding: '14px',\n overflow: 'auto',\n color: '#e2e8f0',\n background: '#0b1220',\n fontFamily: \"ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, monospace\",\n fontSize: '13px',\n lineHeight: '1.5',\n whiteSpace: 'pre'\n });\n\n actions.appendChild(copyBtn);\n actions.appendChild(closeBtn);\n header.appendChild(title);\n header.appendChild(actions);\n body.appendChild(editorHost);\n body.appendChild(fallbackPre);\n panel.appendChild(header);\n panel.appendChild(body);\n overlay.appendChild(panel);\n\n overlay.addEventListener('click', (e) => {\n if (e.target === overlay) {\n overlay.style.display = 'none';\n }\n });\n closeBtn.addEventListener('click', () => {\n overlay.style.display = 'none';\n });\n\n copyBtn.addEventListener('click', () => {\n const viewer = this._codeViewer;\n const text = viewer && typeof viewer.currentCode === 'string' ? viewer.currentCode : '';\n navigator.clipboard.writeText(text || '');\n });\n\n document.body.appendChild(overlay);\n\n this._codeViewer = {\n overlay,\n editorHost,\n fallbackPre,\n editor: null,\n model: null,\n currentCode: '',\n currentLanguage: 'plaintext'\n };\n return this._codeViewer;\n },\n\n async openCodeViewer(code, language) {\n const viewer = this.ensureCodeViewer();\n viewer.currentCode = code || '';\n viewer.currentLanguage = language || 'plaintext';\n viewer.fallbackPre.textContent = viewer.currentCode;\n viewer.overlay.style.display = 'block';\n\n let monaco;\n try {\n monaco = await this.ensureMonacoForViewer();\n } catch (e) {\n // No Monaco available; fallbackPre stays visible\n return;\n }\n\n // Hide fallback once Monaco is ready\n viewer.fallbackPre.style.display = 'none';\n\n if (!viewer.model) {\n viewer.model = monaco.editor.createModel(viewer.currentCode, viewer.currentLanguage);\n } else {\n try {\n monaco.editor.setModelLanguage(viewer.model, viewer.currentLanguage);\n } catch (e) {\n // ok\n }\n viewer.model.setValue(viewer.currentCode);\n }\n\n if (!viewer.editor) {\n viewer.editor = monaco.editor.create(viewer.editorHost, {\n model: viewer.model,\n theme: (document.documentElement.classList.contains('dark') ? 'vs-dark' : 'vs-dark'),\n automaticLayout: true,\n readOnly: true,\n minimap: { enabled: false },\n scrollBeyondLastLine: false,\n wordWrap: 'on',\n lineNumbers: 'on',\n fontSize: 13,\n fontFamily: \"ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, monospace\",\n renderLineHighlight: 'none'\n });\n } else {\n viewer.editor.setModel(viewer.model);\n try {\n viewer.editor.layout();\n } catch (e) {\n // ok\n }\n }\n\n // Layout after paint (helps when opening the modal)\n setTimeout(() => {\n if (viewer.editor) {\n try {\n viewer.editor.layout();\n } catch (e) {\n // ok\n }\n }\n }, 0);\n },\n\n async hydrateMonacoEditors() {\n // IMPORTANT: Avoid creating many Monaco instances (crashes + perf).\n // Instead: keep code blocks as-is, add lightweight controls, and open a SINGLE Monaco viewer on demand.\n const codeBlocks = this.$el.querySelectorAll('pre code');\n \n for (const block of codeBlocks) {\n const pre = block.parentElement;\n if (!pre || pre.classList.contains('monaco-hydrated')) continue;\n \n const className = block.className;\n const langMatch = className.match(/language-(\\w+)/);\n const language = langMatch ? langMatch[1] : 'plaintext';\n \n const code = block.textContent || '';\n\n // Mark as hydrated first to prevent double processing\n pre.classList.add('monaco-hydrated');\n\n // Copy button (lightweight)\n addCopyButton(pre, code);\n\n // \"Open\" button for a single shared Monaco viewer\n if (!pre.querySelector('.monaco-open-btn')) {\n if (getComputedStyle(pre).position === 'static') {\n pre.style.position = 'relative';\n }\n\n const openBtn = document.createElement('button');\n openBtn.type = 'button';\n openBtn.className = 'monaco-open-btn';\n openBtn.title = 'Open in Monaco viewer';\n openBtn.innerHTML = '';\n Object.assign(openBtn.style, {\n position: 'absolute',\n top: '0.5rem',\n right: '2.75rem', // leaves room for copy button\n padding: '0.25rem 0.5rem',\n borderRadius: '0.25rem',\n border: (document.documentElement.classList.contains('dark') ? '1px solid #475569' : '1px solid #cbd5e1'),\n backgroundColor: (document.documentElement.classList.contains('dark') ? '#334155' : '#f1f5f9'),\n color: (document.documentElement.classList.contains('dark') ? '#f8fafc' : '#475569'),\n cursor: 'pointer',\n opacity: '0',\n transition: 'opacity 0.2s',\n zIndex: '10',\n display: 'flex',\n alignItems: 'center',\n gap: '0.25rem'\n });\n\n openBtn.addEventListener('click', (e) => {\n e.preventDefault();\n e.stopPropagation();\n this.openCodeViewer(code, language);\n });\n\n pre.addEventListener('mouseenter', () => openBtn.style.opacity = '1');\n pre.addEventListener('mouseleave', () => openBtn.style.opacity = '0');\n\n pre.appendChild(openBtn);\n }\n }\n },\n \n adjustHeight() {\n const textarea = this.$refs.input;\n textarea.style.height = 'auto';\n const newHeight = Math.min(textarea.scrollHeight, 200);\n textarea.style.height = newHeight + 'px';\n \n const container = textarea.closest('.chat-input-container');\n if (container) {\n if (newHeight > 50) {\n container.classList.add('multiline');\n } else {\n container.classList.remove('multiline');\n }\n }\n },\n \n triggerFileUpload(type) {\n this.showAttachments = false;\n const fileName = type === 'image' ? 'vacation_photo.jpg' : 'project_report.pdf';\n \n // Generate unique ID with role prefix to prevent ID collision\n const userMessageId = 'user-' + Date.now() + '-' + Math.random().toString(36).substr(2, 9);\n \n this.messages.push({\n id: userMessageId,\n role: 'user',\n content: 'Uploaded ' + fileName,\n attachment: fileName,\n timestamp: new Date().toLocaleTimeString('en-US', { hour: 'numeric', minute: '2-digit' })\n });\n this.$nextTick(() => this.scrollToBottom());\n this.sendChatRequest();\n },\n \n copyMessage(text, messageId) {\n navigator.clipboard.writeText(text).then(() => {\n // Set copied state for this message\n this.copiedMessageId = messageId;\n \n // Clear after 1.5 seconds\n setTimeout(() => {\n this.copiedMessageId = null;\n }, 1500);\n });\n },\n \n deleteMessage(messageId) {\n const msgIndex = this.messages.findIndex(m => m.id === messageId);\n if (msgIndex !== -1) {\n this.messages.splice(msgIndex, 1);\n this.saveToStorage();\n }\n },\n \n // Fork chat from a message - create new chat with all messages up to and including this one\n forkChatFromMessage(messageId) {\n const msgIndex = this.messages.findIndex(m => m.id === messageId);\n if (msgIndex === -1) {\n console.warn('[forkChatFromMessage] Message not found:', messageId);\n return;\n }\n \n // Get all messages up to and including this one\n const forkedMessages = this.messages.slice(0, msgIndex + 1);\n \n // Get the current chat's folder\n const currentChat = this.items.find(i => i.id === this.activeChatId);\n const folderId = currentChat ? currentChat.folderId : null;\n \n // Create new chat in the same folder\n const id = this.nextItemId++;\n const order = this.getMaxOrder(this.items.filter(i => i.folderId === folderId)) + 1;\n \n // Generate name from the last user message or use default\n let chatName = 'Forked Chat';\n const lastUserMsg = forkedMessages.filter(m => m.role === 'user').pop();\n if (lastUserMsg && lastUserMsg.content) {\n chatName = lastUserMsg.content.slice(0, 30) + (lastUserMsg.content.length > 30 ? '...' : '');\n }\n \n const item = { id, name: chatName, folderId, order };\n this.items.push(item);\n \n // Deep copy messages to preserve all message metadata\n const messageCopy = JSON.parse(JSON.stringify(forkedMessages));\n \n // Deep copy the current chat's metadata (settings, system prompt, parameters)\n const currentChatData = this.chats[this.activeChatId];\n let forkedMetadata = {\n createdAt: Date.now(),\n updatedAt: Date.now(),\n forkedFrom: this.activeChatId,\n forkedAt: Date.now()\n };\n \n // Copy all chat settings from the source chat\n if (currentChatData && currentChatData.metadata) {\n const sourceMetadata = currentChatData.metadata;\n forkedMetadata = {\n ...forkedMetadata,\n systemPrompt: sourceMetadata.systemPrompt || '',\n defaultModel: sourceMetadata.defaultModel || null,\n parameters: sourceMetadata.parameters ? JSON.parse(JSON.stringify(sourceMetadata.parameters)) : {},\n appliedTemplateId: sourceMetadata.appliedTemplateId || null\n };\n }\n \n // Create chat with forked messages and settings\n this.chats[id] = {\n messages: messageCopy,\n metadata: forkedMetadata\n };\n \n // Select the new chat\n this.selectChat(id);\n \n console.log('[forkChatFromMessage] Created forked chat:', id, 'with', forkedMessages.length, 'messages and copied settings');\n },\n \n // Delete all messages below (after) this message\n deleteMessagesBelow(messageId) {\n const msgIndex = this.messages.findIndex(m => m.id === messageId);\n if (msgIndex === -1) {\n console.warn('[deleteMessagesBelow] Message not found:', messageId);\n return;\n }\n \n // Get count of messages to delete (for confirmation)\n const deleteCount = this.messages.length - msgIndex - 1;\n \n if (deleteCount === 0) {\n console.log('[deleteMessagesBelow] No messages below this one');\n return;\n }\n \n // Confirm deletion\n if (!confirm('Delete ' + deleteCount + ' message' + (deleteCount === 1 ? '' : 's') + ' below this one?')) {\n return;\n }\n \n // Delete all messages after this one\n this.messages.splice(msgIndex + 1, deleteCount);\n this.saveToStorage();\n \n console.log('[deleteMessagesBelow] Deleted', deleteCount, 'messages');\n },\n \n regenerateMessage(messageId) {\n // Find and delete the assistant message, then re-run inference\n const msgIndex = this.messages.findIndex(m => m.id === messageId);\n if (msgIndex !== -1 && this.messages[msgIndex].role === 'assistant') {\n this.messages.splice(msgIndex, 1);\n this.saveToStorage();\n // Re-run the chat request\n this.sendChatRequest();\n }\n },\n \n stopGenerating() {\n // Stop the currently generating assistant message\n console.log('[Stop] Stopping generation...');\n \n // Stop typing indicator\n this.isTyping = false;\n \n // Cancel the active job if using jobs API\n if (this.activeJobId) {\n console.log('[Stop] Cancelling job:', this.activeJobId);\n if (this.jobs && this.jobs.cancelJob) {\n this.jobs.cancelJob(this.activeJobId)\n .then(() => {\n console.log('[Stop] Job cancelled successfully');\n })\n .catch(err => {\n console.error('[Stop] Error cancelling job:', err);\n });\n }\n // Stop streaming\n if (this.jobs && this.jobs.stopStreaming) {\n this.jobs.stopStreaming(this.activeJobId);\n }\n this.activeJobId = null;\n }\n \n // Find and remove the loading assistant message\n const loadingMsgIndex = this.messages.findIndex(m => m.role === 'assistant' && m.isLoading);\n if (loadingMsgIndex !== -1) {\n // If message has some content, keep it but remove loading state\n if (this.messages[loadingMsgIndex].content && this.messages[loadingMsgIndex].content.trim()) {\n this.messages[loadingMsgIndex].isLoading = false;\n console.log('[Stop] Kept partial message');\n } else {\n // If no content, remove the message entirely\n this.messages.splice(loadingMsgIndex, 1);\n console.log('[Stop] Removed empty loading message');\n }\n }\n \n this.saveToStorage();\n },\n\n async sendMessage() {\n const self = this;\n if (!self.messageInput.trim() || self.isTyping || !self.activeChatId) return;\n \n // Defensive check: ensure messages is always an array\n if (!Array.isArray(self.messages)) {\n console.warn('[sendMessage] messages is not an array, resetting to empty array');\n self.messages = [];\n }\n \n const userText = self.messageInput;\n \n // Check if we should auto-rename (first user message in a \"New Chat\")\n const currentItem = self.items.find(i => i.id === self.activeChatId);\n const shouldRename = currentItem && currentItem.name === 'New Chat' && self.messages.filter(m => m.role === 'user').length === 0;\n \n // Generate unique ID with role prefix to prevent ID collision\n const userMessageId = 'user-' + Date.now() + '-' + Math.random().toString(36).substr(2, 9);\n \n self.messages.push({\n id: userMessageId,\n role: 'user',\n content: userText,\n timestamp: new Date().toLocaleTimeString('en-US', { hour: 'numeric', minute: '2-digit' })\n });\n \n // Auto-rename: just call the rename function directly\n if (shouldRename) {\n const newName = userText.slice(0, 30) + (userText.length > 30 ? '...' : '');\n self.renameChat(self.activeChatId, newName);\n }\n \n self.messageInput = '';\n \n self.$nextTick(() => {\n self.$refs.input.style.height = 'auto';\n self.scrollToBottom();\n // Don't call hydrateMonacoEditors here - let the debounced watcher handle it\n // Calling it synchronously during message updates can corrupt Alpine's DOM tracking\n });\n \n self.sendChatRequest();\n },\n \n async sendChatRequest() {\n this.isTyping = true;\n this.scrollToBottom();\n \n // Defensive check: ensure messages is always an array\n if (!Array.isArray(this.messages)) {\n console.warn('[sendChatRequest] messages is not an array, resetting to empty array');\n this.messages = [];\n }\n \n // Capture context for callbacks\n const self = this;\n \n try {\n // Get chat parameters from settings\n const chatParams = this.getChatParameters ? this.getChatParameters() : {};\n const systemPrompt = this.getSystemPrompt ? this.getSystemPrompt() : '';\n \n // Build messages array with optional system prompt\n const apiMessages = [];\n \n // Add system prompt if set\n if (systemPrompt && systemPrompt.trim()) {\n apiMessages.push({\n role: 'system',\n content: systemPrompt.trim()\n });\n }\n \n // Add conversation messages\n this.messages\n .filter(msg => msg.role === 'user' || msg.role === 'assistant')\n .forEach(msg => {\n apiMessages.push({\n role: msg.role,\n content: msg.content\n });\n });\n \n // Get model ID for metadata\n const modelId = this.selectedModel ? this.selectedModel.id : 'llama-3.3-70b-versatile';\n \n // Store message metadata for tracing (create BEFORE using it)\n const messageMeta = {\n model: modelId,\n temperature: chatParams.temperature,\n maxTokens: chatParams.maxTokens,\n parameters: { ...chatParams },\n timestamp: new Date().toISOString()\n };\n \n // Check streaming setting (default to true if not set)\n const useStreaming = this.settings?.useStreaming !== false;\n \n // Create assistant message placeholder with unique ID and metadata\n // Generate unique ID with role prefix to prevent ID collision with user messages\n const assistantMessageId = 'assistant-' + Date.now() + '-' + Math.random().toString(36).substr(2, 9);\n const assistantMessage = {\n id: assistantMessageId,\n role: 'assistant',\n content: '',\n timestamp: new Date().toLocaleTimeString('en-US', { hour: 'numeric', minute: '2-digit' }),\n metadata: messageMeta,\n isLoading: !useStreaming // Show loading state for non-streaming\n };\n this.messages.push(assistantMessage);\n this.isTyping = false;\n \n let assistantContent = '';\n \n // Throttle UI updates to prevent overwhelming Alpine's reactivity\n // Update UI at most every 50ms during streaming\n let lastUpdateTime = 0;\n let pendingUpdate = null;\n const UPDATE_THROTTLE_MS = 50;\n \n function throttledUpdate() {\n var now = Date.now();\n if (now - lastUpdateTime >= UPDATE_THROTTLE_MS) {\n // Enough time has passed, update immediately\n lastUpdateTime = now;\n if (pendingUpdate) {\n clearTimeout(pendingUpdate);\n pendingUpdate = null;\n }\n // Actually update the message content\n if (!Array.isArray(self.messages)) {\n return;\n }\n var msgIndex = self.messages.findIndex(function(m) { return m.id === assistantMessageId; });\n if (msgIndex !== -1) {\n self.messages[msgIndex].content = assistantContent;\n }\n self.scrollToBottom();\n } else if (!pendingUpdate) {\n // Schedule an update for when throttle period ends\n pendingUpdate = setTimeout(function() {\n pendingUpdate = null;\n throttledUpdate();\n }, UPDATE_THROTTLE_MS - (now - lastUpdateTime));\n }\n }\n \n // Get provider from model's stored config, fallback to parsing model ID\n var modelConfig = null;\n if (this.providerSettings && this.providerSettings.models) {\n modelConfig = this.providerSettings.models.find(function(m) { return m.id === modelId; });\n }\n if (!modelConfig && this.models) {\n modelConfig = this.models.find(function(m) { return m.id === modelId; });\n }\n var provider = (modelConfig && modelConfig.provider) \n ? modelConfig.provider \n : (modelId.includes('/') ? modelId.split('/')[0] : 'groq');\n var apiKey = this.getApiKey ? this.getApiKey(provider) : '';\n \n // Get base URL for custom providers\n var baseUrl = null;\n if (this.providerSettings && this.providerSettings.providers && this.providerSettings.providers[provider]) {\n baseUrl = this.providerSettings.providers[provider].baseUrl;\n }\n \n console.log('[Chat] Model:', modelId, '| Provider:', provider, '| API Key:', apiKey ? '***set***' : '(empty)', '| Base URL:', baseUrl || '(default)');\n \n // Create orchestrator job to track this chat request\n var threadJob = null;\n if (this.createThreadJob) {\n threadJob = this.createThreadJob(this.activeChatId, 'chat', {\n messages: apiMessages,\n model: modelId,\n provider: provider\n }, {\n metadata: {\n assistantMessageId: assistantMessageId,\n messageCount: apiMessages.length\n }\n });\n \n // Check for blockers before sending\n var blocker = this.checkJobBlockers ? this.checkJobBlockers(threadJob.id) : null;\n if (blocker) {\n console.log('[Orchestrator] Job blocked:', blocker.type);\n if (this.updateJobStatus) {\n this.updateJobStatus(threadJob.id, 'blocked', { blocker: blocker });\n }\n \n // Show blocked error in UI\n if (Array.isArray(self.messages)) {\n var msgIndex = self.messages.findIndex(function(m) { return m.id === assistantMessageId; });\n if (msgIndex !== -1) {\n self.messages[msgIndex] = {\n id: assistantMessageId,\n role: 'error',\n content: blocker.message + '. Please add your API key in Settings → Models.',\n isError: true,\n isApiKeyError: blocker.type === 'api_key_missing',\n threadJobId: threadJob.id,\n timestamp: Date.now()\n };\n }\n }\n self.isTyping = false;\n self.saveToStorage();\n return;\n }\n \n // Mark job as running\n if (this.updateJobStatus) {\n this.updateJobStatus(threadJob.id, 'running');\n }\n }\n \n var job = await this.jobs.createJob('chat', {\n messages: apiMessages,\n model: modelId,\n provider: provider, // Send provider to backend\n temperature: chatParams.temperature,\n maxTokens: chatParams.maxTokens,\n topP: chatParams.topP,\n frequencyPenalty: chatParams.frequencyPenalty,\n presencePenalty: chatParams.presencePenalty,\n systemPrompt: chatParams.systemPrompt,\n reasoningEffort: chatParams.reasoningEffort,\n webSearch: chatParams.webSearch,\n codeExecution: chatParams.codeExecution,\n imageDetail: chatParams.imageDetail,\n modelVersion: chatParams.modelVersion,\n apiKey: apiKey, // Pass API key to backend\n baseUrl: baseUrl, // Pass base URL for custom providers\n stream: useStreaming // Pass streaming preference\n });\n \n // Store job ID for potential cancellation\n this.activeJobId = job.id;\n console.log('[Job created]:', job.id);\n \n // Link backend job to orchestrator job\n if (threadJob && this.updateJobStatus) {\n threadJob.metadata.backendJobId = job.id;\n this.updateJobStatus(threadJob.id, 'streaming');\n }\n \n // Subscribe to job stream with captured context\n this.jobs.streamJob(job.id, {\n onData: function(data) {\n // Handle streaming data chunks\n if (data.content) {\n assistantContent += data.content;\n // Use throttled update to prevent overwhelming Alpine\n throttledUpdate();\n \n // Update orchestrator progress\n if (threadJob && self.updateJobProgress) {\n self.updateJobProgress(threadJob.id, assistantContent.length, assistantContent);\n }\n }\n \n // Clear loading state on first data chunk (for non-streaming mode)\n if (!Array.isArray(self.messages)) return;\n const msgIndex = self.messages.findIndex(function(m) { return m.id === assistantMessageId; });\n if (msgIndex !== -1 && self.messages[msgIndex].isLoading) {\n self.messages[msgIndex].isLoading = false;\n }\n },\n onJob: function(jobData) {\n // Handle job status changes\n console.log('[Job status]:', jobData.status);\n \n if (jobData.status === 'completed') {\n // Clear any pending throttled update\n if (pendingUpdate) {\n clearTimeout(pendingUpdate);\n pendingUpdate = null;\n }\n \n // Update orchestrator job status\n if (threadJob && self.updateJobStatus) {\n self.updateJobStatus(threadJob.id, 'completed', { \n result: jobData.result \n });\n }\n \n // Final result available\n console.log('[Chat complete]:', jobData.result);\n \n // Parse the message to extract thinking/reasoning\n if (jobData.result) {\n var parsed = self.parseMessage(jobData.result);\n console.log('[Parsed message]:', parsed);\n console.log('[Has reasoning?]:', parsed.hasReasoning, '|', parsed.reasoning);\n console.log('[Has thinking?]:', parsed.hasThinking, '|', parsed.thinking);\n console.log('[Clean content]:', parsed.content);\n }\n \n // Make sure final content is set\n if (jobData.result && jobData.result.content) {\n // Defensive check: ensure messages array still exists\n if (!Array.isArray(self.messages)) {\n console.warn('[Stream onJob] messages array lost, cannot update final content');\n return;\n }\n const msgIndex = self.messages.findIndex(function(m) { return m.id === assistantMessageId; });\n if (msgIndex !== -1) {\n // Store the full result object (including reasoning, tools, etc)\n self.messages[msgIndex].content = jobData.result.content;\n self.messages[msgIndex].reasoning = jobData.result.reasoning;\n self.messages[msgIndex].tools = jobData.result.tools || jobData.result.executedTools || [];\n self.messages[msgIndex].isLoading = false; // Clear loading state\n \n console.log('[Message stored with reasoning]:', !!self.messages[msgIndex].reasoning);\n }\n }\n \n // Save to chat storage\n self.saveToStorage();\n self.scrollToBottom();\n } else if (jobData.status === 'error') {\n console.error('[Job error]:', jobData.error, jobData);\n \n // Extract error message from various possible locations\n var errorMsg = jobData.error || jobData.message || jobData.details || 'An error occurred. Please check your settings and try again.';\n \n // Normalize error message for better detection\n var errorMsgLower = String(errorMsg).toLowerCase();\n var isApiKeyError = errorMsgLower.includes('api') && \n (errorMsgLower.includes('key') || errorMsgLower.includes('configured') || \n errorMsgLower.includes('not set') || errorMsgLower.includes('missing') ||\n errorMsgLower.includes('401') || errorMsgLower.includes('403') ||\n errorMsgLower.includes('unauthorized') || errorMsgLower.includes('forbidden'));\n \n // Determine provider name for better error messages\n var providerName = 'provider';\n if (self.selectedModel && self.selectedModel.provider) {\n var providerMap = {\n 'groq': 'Groq',\n 'openai': 'OpenAI',\n 'anthropic': 'Anthropic',\n 'custom': 'Custom Provider'\n };\n providerName = providerMap[self.selectedModel.provider] || self.selectedModel.provider;\n }\n \n // Create user-friendly error message for display\n var displayMsg = errorMsg;\n if (isApiKeyError && !errorMsg.includes('Settings')) {\n displayMsg = providerName + ' API key is missing or invalid. Please add your API key in Settings → Models.';\n }\n \n // Replace the placeholder loading message with an error card\n if (Array.isArray(self.messages)) {\n var msgIndex = self.messages.findIndex(function(m) { return m.id === assistantMessageId; });\n if (msgIndex !== -1) {\n self.messages[msgIndex] = {\n id: assistantMessageId,\n role: 'error',\n content: displayMsg,\n isError: true,\n isApiKeyError: isApiKeyError,\n threadJobId: threadJob ? threadJob.id : null,\n timestamp: Date.now()\n };\n }\n }\n \n // Update orchestrator job status\n if (threadJob && self.updateJobStatus) {\n var blockerType = isApiKeyError ? 'api_key_missing' : 'provider_error';\n self.updateJobStatus(threadJob.id, isApiKeyError ? 'blocked' : 'error', { \n error: errorMsg,\n blocker: isApiKeyError ? {\n type: blockerType,\n message: displayMsg,\n provider: provider\n } : null\n });\n }\n \n // Save to chat storage\n self.saveToStorage();\n self.scrollToBottom();\n \n // Also log for debugging\n console.error('[Chat Error]', errorMsg);\n \n // Clear typing indicator\n self.isTyping = false;\n }\n },\n onError: function(error) {\n console.error('[Stream error]:', error);\n \n // Remove the placeholder message\n if (Array.isArray(self.messages)) {\n const msgIndex = self.messages.findIndex(function(m) { return m.id === assistantMessageId; });\n if (msgIndex !== -1) {\n self.messages.splice(msgIndex, 1);\n }\n }\n \n // Show error toast\n if (window.toast) {\n window.toast('Stream Error', {\n description: error.message || 'An error occurred while streaming the response.',\n type: 'danger'\n });\n }\n }\n });\n \n } catch (error) {\n console.error('Chat error:', error);\n this.isTyping = false;\n \n // Check if it's an API key error\n const isApiKeyError = error.message && (\n error.message.includes('messageMeta') ||\n error.message.includes('API') ||\n error.message.includes('key') ||\n error.message.includes('401') ||\n error.message.includes('403')\n );\n \n // Show user-friendly error toast\n if (window.toast) {\n if (isApiKeyError || !this.getApiKey('groq')) {\n window.toast('API Key Required', {\n description: 'Please add your Groq API key in the settings to use this chat.',\n type: 'danger'\n });\n } else {\n window.toast('Error', {\n description: error.message || 'An unexpected error occurred. Please try again.',\n type: 'danger'\n });\n }\n }\n \n this.scrollToBottom();\n }\n },\n \n scrollToBottom() {\n if (!this.settings.autoScroll) {\n return;\n }\n const messagesContainer = document.getElementById('chat-messages');\n if (messagesContainer) {\n messagesContainer.scrollTop = messagesContainer.scrollHeight;\n }\n },\n \n // Toggle thinking/reasoning visibility for a message\n toggleThinking(messageId) {\n if (!this.thinkingVisible) {\n this.thinkingVisible = {};\n }\n this.thinkingVisible[messageId] = !this.thinkingVisible[messageId];\n },\n \n // Check if thinking is visible for a message\n isThinkingVisible(messageId) {\n return this.thinkingVisible && this.thinkingVisible[messageId];\n },\n \n handleKeydown(event) {\n if (event.key === 'Enter' && !event.shiftKey) {\n event.preventDefault();\n this.sendMessage();\n }\n },\n };\n}\n",[],[195,1249,1299],"0bbfc7fe-e2e9-11f0-a62a-42dde27851f2","jobs.js","0bbfc8c6-e2e9-11f0-a62a-42dde27851f2",28,["D",1766815100048],"// Jobs API Module - Frontend integration for async jobs\nexport function jobsModule() {\n return {\n // Active jobs tracking\n jobs: {},\n activeStreams: {},\n\n // Create a new job\n async createJob(type, input) {\n try {\n const response = await fetch('/api/jobs', {\n method: 'POST',\n headers: { 'Content-Type': 'application/json' },\n body: JSON.stringify({ type, input })\n });\n \n if (!response.ok) {\n throw new Error('Failed to create job: ' + response.statusText);\n }\n \n const job = await response.json();\n this.jobs[job.id] = job;\n \n console.log('[Jobs] Created job:', job.id, job.status);\n return job;\n } catch (error) {\n console.error('[Jobs] Error creating job:', error);\n throw error;\n }\n },\n\n // Get job status\n async getJob(jobId) {\n try {\n const response = await fetch('/api/jobs/' + jobId);\n \n if (!response.ok) {\n throw new Error('Job not found');\n }\n \n const job = await response.json();\n this.jobs[jobId] = job;\n return job;\n } catch (error) {\n console.error('[Jobs] Error fetching job:', error);\n throw error;\n }\n },\n\n // List all jobs\n async listJobs(status = null) {\n try {\n const url = status ? '/api/jobs?status=' + status : '/api/jobs';\n const response = await fetch(url);\n \n if (!response.ok) {\n throw new Error('Failed to list jobs');\n }\n \n const data = await response.json();\n return data.jobs || [];\n } catch (error) {\n console.error('[Jobs] Error listing jobs:', error);\n throw error;\n }\n },\n\n // Cancel a job\n async cancelJob(jobId) {\n try {\n const response = await fetch('/api/jobs/' + jobId + '/cancel', {\n method: 'POST'\n });\n \n if (!response.ok) {\n throw new Error('Failed to cancel job');\n }\n \n const job = await response.json();\n this.jobs[jobId] = job;\n console.log('[Jobs] Cancelled job:', jobId);\n return job;\n } catch (error) {\n console.error('[Jobs] Error cancelling job:', error);\n throw error;\n }\n },\n\n // Subscribe to job updates via SSE\n streamJob(jobId, handlers = {}) {\n // Check if already streaming\n if (this.activeStreams[jobId]) {\n console.warn('[Jobs] Already streaming job:', jobId);\n return this.activeStreams[jobId];\n }\n\n const eventSource = new EventSource('/api/jobs/' + jobId + '/stream');\n this.activeStreams[jobId] = eventSource;\n\n // Handle job status updates\n eventSource.addEventListener('job', (event) => {\n try {\n const data = JSON.parse(event.data);\n this.jobs[jobId] = { ...this.jobs[jobId], ...data };\n \n console.log('[Jobs] Job update:', jobId, data.status);\n \n if (handlers.onJob) {\n handlers.onJob(data);\n }\n\n // Auto-close stream when job completes\n if (data.status === 'completed' || data.status === 'error' || data.status === 'cancelled') {\n this.stopStreaming(jobId);\n }\n } catch (error) {\n console.error('[Jobs] Error parsing job event:', error);\n }\n });\n\n // Handle streaming data chunks\n eventSource.addEventListener('data', (event) => {\n try {\n const data = JSON.parse(event.data);\n \n if (handlers.onData) {\n handlers.onData(data);\n }\n } catch (error) {\n console.error('[Jobs] Error parsing data event:', error);\n }\n });\n\n // Handle ping (keep-alive)\n eventSource.addEventListener('ping', () => {\n // Keep connection alive\n });\n\n // Handle errors\n eventSource.onerror = (error) => {\n console.error('[Jobs] Stream error for job:', jobId, error);\n \n if (handlers.onError) {\n handlers.onError(error);\n }\n \n this.stopStreaming(jobId);\n };\n\n return eventSource;\n },\n\n // Stop streaming a job\n stopStreaming(jobId) {\n if (this.activeStreams[jobId]) {\n this.activeStreams[jobId].close();\n delete this.activeStreams[jobId];\n console.log('[Jobs] Stopped streaming job:', jobId);\n }\n },\n\n // Stop all active streams\n stopAllStreams() {\n Object.keys(this.activeStreams).forEach(jobId => {\n this.stopStreaming(jobId);\n });\n },\n\n // Helper: Create and stream a chat job\n async createAndStreamChatJob(messages, options = {}) {\n const job = await this.createJob('chat', {\n messages,\n model: options.model,\n provider: options.provider,\n temperature: options.temperature,\n maxTokens: options.maxTokens\n });\n\n // Immediately start streaming\n this.streamJob(job.id, options.handlers);\n\n return job;\n }\n };\n}\n\n",[],[195,1249,1307],"3c25ce16-ef19-11f0-8419-42dde27851f2","index.js","0bca6a1a-e2e9-11f0-b941-42dde27851f2",165,["D",1768155211059],"/**\n * Chat App - Main Entry Point\n * Combines all modules into a single Alpine.js component\n */\n\nimport { marked } from \"https://esm.sh/marked\";\nimport Alpine from \"https://esm.sh/alpinejs@3.12.3\";\n\nimport { createInitialState, MODELS } from \"./state.js\";\nimport { createStorageMethods } from \"./storage.js\";\nimport { createFolderMethods } from \"./folders.js\";\nimport { createChatMethods } from \"./chats.js\";\nimport { createEditingMethods } from \"./editing.js\";\nimport { createDragDropMethods } from \"./dragdrop.js\";\nimport { createModelMethods } from \"./models.js\";\nimport { createMessagingMethods } from \"./messaging.js\";\nimport { createSettingsMethods } from \"./settings.js\";\nimport { createChatSettingsMethods } from \"./chatSettings.js\";\nimport { createProviderSettingsMethods } from \"./providerSettings.js\";\nimport { createTemplatesMethods } from \"./templates.js\";\nimport { createThreadsMixin, JobStatus, ThreadEvent, OrchestratorEvent, parseMessage, getDisplayContent, getThinking } from \"./threads.js\";\nimport { jobsModule } from \"./jobs.js\";\n\nfunction chatApp() {\n // Get initial state\n const state = createInitialState();\n \n // Get all method objects\n const storageMethods = createStorageMethods();\n const folderMethods = createFolderMethods();\n const chatMethods = createChatMethods();\n const editingMethods = createEditingMethods();\n const dragDropMethods = createDragDropMethods();\n const modelMethods = createModelMethods();\n const messagingMethods = createMessagingMethods(marked);\n const settingsMethods = createSettingsMethods();\n const chatSettingsMethods = createChatSettingsMethods();\n const providerSettingsMethods = createProviderSettingsMethods();\n const templatesMethods = createTemplatesMethods();\n const threadsMixin = createThreadsMixin();\n const jobs = jobsModule();\n \n // Return the combined component object\n // All methods use 'this' which Alpine will bind correctly\n return {\n // Spread all state properties\n ...state,\n \n // Spread all methods from modules\n ...storageMethods,\n ...folderMethods,\n ...chatMethods,\n ...editingMethods,\n ...dragDropMethods,\n ...modelMethods,\n ...messagingMethods,\n ...settingsMethods,\n ...chatSettingsMethods,\n ...providerSettingsMethods,\n ...templatesMethods,\n ...threadsMixin,\n \n // Job/thread status constants for templates\n JobStatus,\n ThreadEvent,\n OrchestratorEvent, // Backwards compat\n \n // Message parsing utilities\n parseMessage,\n getDisplayContent,\n getThinking,\n \n // Jobs API\n jobs,\n \n // Computed property for filtered models\n get filteredModels() {\n if (this.modelSearch === '') return this.models;\n const search = this.modelSearch.toLowerCase();\n return this.models.filter(m => \n m.name.toLowerCase().includes(search) ||\n m.desc.toLowerCase().includes(search) ||\n m.id.toLowerCase().includes(search)\n );\n },\n \n // Computed property to check if we should show \"Generate Response\" button\n // Shows when user's message is last and there's no assistant response after it\n get shouldShowGenerateButton() {\n if (!this.activeChatId) return false;\n if (!Array.isArray(this.messages) || this.messages.length === 0) return false;\n const lastMessage = this.messages[this.messages.length - 1];\n return lastMessage && lastMessage.role === 'user' && !this.isTyping;\n },\n \n // =========================================================================\n // Initialization\n // =========================================================================\n \n async init() {\n console.log('Chatter initialized');\n \n // Set default model first (may be overridden by chat-specific model in loadFromStorage)\n if (this.models.length > 0) {\n this.selectedModel = this.models[0];\n }\n \n this.loadSettings();\n this.loadFromStorage(); // This will restore chat-specific model in $nextTick\n \n // Initialize the threads manager\n this.initThreads();\n \n // Load provider settings (API keys, base URLs, models)\n this.loadProviderSettings();\n \n // Load model configs from API\n this.loadModelConfigs();\n \n marked.setOptions({\n highlight: function(code, lang) { return code; },\n breaks: true\n });\n \n // Debounced save function to prevent excessive saves during streaming\n let saveTimeout = null;\n const debouncedSave = () => {\n if (saveTimeout) clearTimeout(saveTimeout);\n saveTimeout = setTimeout(() => {\n this.saveToStorage();\n }, 500); // Save 500ms after last change\n };\n \n // Debounced Monaco hydration - only run after content stops changing\n // This prevents excessive DOM manipulation during streaming\n let hydrateTimeout = null;\n const debouncedHydrate = () => {\n if (hydrateTimeout) clearTimeout(hydrateTimeout);\n hydrateTimeout = setTimeout(() => {\n this.hydrateMonacoEditors();\n }, 1000); // Wait 1 second after last change before hydrating\n };\n \n // Watch for storage changes\n this.$watch('folders', () => this.saveToStorage(), { deep: true });\n this.$watch('items', () => this.saveToStorage(), { deep: true });\n // Note: We don't watch 'chats' because saveToStorage() updates it,\n // which would create a circular dependency. Instead we save when messages change.\n \n this.$watch('messages', () => {\n // Defensive check: ensure messages is always an array\n if (!Array.isArray(this.messages)) {\n console.error('[Watch] CRITICAL: messages is not an array! Type:', typeof this.messages);\n console.error('[Watch] This should never happen - messages array reference was lost');\n }\n // Use debounced hydration to avoid excessive DOM manipulation during streaming\n this.$nextTick(() => debouncedHydrate());\n // Debounced save to prevent excessive saves during streaming\n debouncedSave();\n }, { deep: true });\n \n // Setup model picker watchers\n this.setupModelPickerWatchers();\n\n this.$nextTick(() => {\n this.scrollToBottom();\n if (this.$refs.input) {\n this.$refs.input.style.height = 'auto';\n }\n setTimeout(() => this.hydrateMonacoEditors(), 500);\n });\n },\n };\n}\n\n// Register Dark Mode Store\nAlpine.store('darkMode', {\n enabled: false,\n preference: 'system', // 'light', 'dark', or 'system'\n \n init() {\n // Check localStorage for saved preference\n const stored = localStorage.getItem('chatter-theme-preference');\n if (stored === 'light') {\n this.preference = 'light';\n this.enabled = false;\n } else if (stored === 'dark') {\n this.preference = 'dark';\n this.enabled = true;\n } else {\n // System preference\n this.preference = 'system';\n this.enabled = window.matchMedia('(prefers-color-scheme: dark)').matches;\n }\n \n // Listen for system preference changes\n window.matchMedia('(prefers-color-scheme: dark)').addEventListener('change', (e) => {\n // Only update if using system preference\n if (this.preference === 'system') {\n this.enabled = e.matches;\n }\n });\n },\n \n setDark() {\n this.preference = 'dark';\n this.enabled = true;\n localStorage.setItem('chatter-theme-preference', 'dark');\n // Update documentElement class (for CSS that targets html.dark or .dark ancestors)\n document.documentElement.classList.add('dark');\n },\n \n setLight() {\n this.preference = 'light';\n this.enabled = false;\n localStorage.setItem('chatter-theme-preference', 'light');\n // Remove dark class from documentElement\n document.documentElement.classList.remove('dark');\n },\n \n useSystem() {\n this.preference = 'system';\n this.enabled = window.matchMedia('(prefers-color-scheme: dark)').matches;\n localStorage.removeItem('chatter-theme-preference');\n // Update documentElement class based on system preference\n if (this.enabled) {\n document.documentElement.classList.add('dark');\n } else {\n document.documentElement.classList.remove('dark');\n }\n }\n});\n\n// Register Text Size Store\nAlpine.store('textSize', {\n size: 'medium', // 'small', 'medium', or 'large'\n \n init() {\n // Check localStorage for saved preference\n const stored = localStorage.getItem('chatter-text-size');\n if (stored && ['small', 'medium', 'large'].includes(stored)) {\n this.size = stored;\n this.applySize(stored);\n }\n },\n \n applySize(size) {\n // Remove all size classes from body\n document.body.classList.remove('text-size-small', 'text-size-medium', 'text-size-large');\n // Add the new size class to body\n document.body.classList.add('text-size-' + size);\n },\n \n setSize(size) {\n if (!['small', 'medium', 'large'].includes(size)) return;\n this.size = size;\n localStorage.setItem('chatter-text-size', size);\n this.applySize(size);\n }\n});\n\n// Register with Alpine and start\nAlpine.data('chatApp', chatApp);\nAlpine.start();\n\n// =========================================================================\n// Global Toast Helper\n// =========================================================================\n// Simple toast implementation using browser notifications or console\n// Can be replaced with a proper toast UI component if needed\nwindow.toast = function(message, options) {\n if (typeof options === 'undefined') options = {};\n var type = typeof options === 'string' ? options : (options.type || 'default');\n var description = options.description || '';\n \n // Create toast element\n var toast = document.createElement('div');\n toast.className = 'toast-notification toast-' + type;\n toast.innerHTML = '

' +\n '' + message + '' +\n (description ? '' + description + '' : '') +\n '

';\n \n // Style the toast\n toast.style.cssText = 'position: fixed; bottom: 20px; right: 20px; z-index: 9999; ' +\n 'padding: 12px 20px; border-radius: 8px; font-size: 14px; font-weight: 500; ' +\n 'box-shadow: 0 4px 12px rgba(0,0,0,0.15); transition: all 0.3s ease; ' +\n 'transform: translateY(100px); opacity: 0; max-width: 320px;';\n \n // Set colors based on type\n switch(type) {\n case 'success':\n toast.style.background = '#10b981';\n toast.style.color = '#ffffff';\n break;\n case 'error':\n case 'danger':\n toast.style.background = '#ef4444';\n toast.style.color = '#ffffff';\n break;\n case 'warning':\n toast.style.background = '#f59e0b';\n toast.style.color = '#ffffff';\n break;\n case 'info':\n toast.style.background = '#3b82f6';\n toast.style.color = '#ffffff';\n break;\n default:\n toast.style.background = '#374151';\n toast.style.color = '#ffffff';\n }\n \n document.body.appendChild(toast);\n \n // Animate in\n setTimeout(function() {\n toast.style.transform = 'translateY(0)';\n toast.style.opacity = '1';\n }, 10);\n \n // Remove after delay\n setTimeout(function() {\n toast.style.transform = 'translateY(100px)';\n toast.style.opacity = '0';\n setTimeout(function() {\n if (toast.parentNode) {\n toast.parentNode.removeChild(toast);\n }\n }, 300);\n }, 3000);\n};\n\nwindow.showToast = function(text, type, timeout) {\n if (typeof type === 'undefined') type = 'info';\n window.toast(text, { type: type === 'error' ? 'danger' : type });\n};\n\n// Export for potential external use\nexport { chatApp, MODELS };\n",[],[195,1249,1315],"0b9e86ca-e2e9-11f0-b141-42dde27851f2","folders.js","0b9e8760-e2e9-11f0-b141-42dde27851f2",23,["D",1766815099862],"/**\n * Chat App Folders - Folder operations\n */\n\nexport function createFolderMethods() {\n return {\n createFolder(parentId = null) {\n const id = this.nextFolderId++;\n const order = this.getMaxOrder(this.folders.filter(f => f.parentId === parentId)) + 1;\n const folder = { id, name: 'New Folder', parentId, collapsed: false, order };\n this.folders.push(folder);\n this.$nextTick(() => this.startEditingFolder(id, folder.name));\n return folder;\n },\n \n deleteFolder(folderId) {\n const descendantIds = this.getAllDescendantFolderIds(folderId);\n const allFolderIds = [folderId, ...descendantIds];\n \n // Delete chats in these folders\n const chatsToDelete = this.items.filter(item => allFolderIds.includes(item.folderId));\n for (const chat of chatsToDelete) {\n delete this.chats[chat.id];\n }\n \n this.items = this.items.filter(item => !allFolderIds.includes(item.folderId));\n this.folders = this.folders.filter(f => !allFolderIds.includes(f.id));\n this.folderMenuOpen = null;\n },\n \n getAllDescendantFolderIds(folderId) {\n const children = this.folders.filter(f => f.parentId === folderId);\n let descendants = children.map(c => c.id);\n for (const child of children) {\n descendants = [...descendants, ...this.getAllDescendantFolderIds(child.id)];\n }\n return descendants;\n },\n \n toggleFolderCollapsed(folderId) {\n const folder = this.folders.find(f => f.id === folderId);\n if (folder) folder.collapsed = !folder.collapsed;\n },\n \n getFolderDepth(folderId) {\n let depth = 0;\n let folder = this.folders.find(f => f.id === folderId);\n while (folder && folder.parentId !== null) {\n depth++;\n folder = this.folders.find(f => f.id === folder.parentId);\n }\n return depth;\n },\n \n canNestIn(folderId) {\n return this.getFolderDepth(folderId) < 2;\n },\n \n getRootFolders() {\n return this.folders.filter(f => f.parentId === null).sort((a, b) => a.order - b.order);\n },\n \n getChildFolders(parentId) {\n return this.folders.filter(f => f.parentId === parentId).sort((a, b) => a.order - b.order);\n },\n \n getMaxOrder(items) {\n if (!items.length) return 0;\n return Math.max(...items.map(i => i.order || 0));\n },\n };\n}\n",[],[195,1249,1323],"3c2f3c1c-ef19-11f0-8419-42dde27851f2","editing.js","0b986402-e2e9-11f0-a5e5-42dde27851f2",167,["D",1768155211114],"/**\n * Chat App Editing - Inline editing for folders, items, and messages\n */\n\nexport function createEditingMethods() {\n return {\n // Folder editing\n startEditingFolder(folderId, currentName) {\n this.editingFolderId = folderId;\n this.editingFolderName = currentName || '';\n this.$nextTick(() => {\n // Use a small delay for iOS to properly show keyboard\n setTimeout(() => {\n const input = document.querySelector('[data-folder-edit=\"' + folderId + '\"]');\n if (input) {\n input.focus();\n input.select();\n // iOS sometimes needs a second focus attempt\n if (/iPhone|iPad|iPod/.test(navigator.userAgent)) {\n setTimeout(() => input.focus(), 50);\n }\n }\n }, 10);\n });\n },\n \n commitEditingFolder() {\n if (!this.editingFolderId) return;\n const folder = this.folders.find(f => f.id === this.editingFolderId);\n if (folder) folder.name = (this.editingFolderName || '').trim() || 'New Folder';\n this.cancelEditingFolder();\n },\n \n cancelEditingFolder() {\n this.editingFolderId = null;\n this.editingFolderName = '';\n },\n \n // Item editing\n startEditingItem(itemId, currentName) {\n this.editingItemId = itemId;\n this.editingItemName = currentName || '';\n this.$nextTick(() => {\n // Use a small delay for iOS to properly show keyboard\n setTimeout(() => {\n const input = document.querySelector('[data-item-edit=\"' + itemId + '\"]');\n if (input) {\n input.focus();\n input.select();\n // iOS sometimes needs a second focus attempt\n if (/iPhone|iPad|iPod/.test(navigator.userAgent)) {\n setTimeout(() => input.focus(), 50);\n }\n }\n }, 10);\n });\n },\n \n commitEditingItem() {\n if (!this.editingItemId) return;\n const item = this.items.find(i => i.id === this.editingItemId);\n if (item) item.name = (this.editingItemName || '').trim() || 'New Chat';\n this.cancelEditingItem();\n },\n \n cancelEditingItem() {\n this.editingItemId = null;\n this.editingItemName = '';\n },\n \n // Message editing\n startEditingMessage(messageId, content) {\n this.editingMessageId = messageId;\n this.editingMessageContent = content;\n \n // Focus the contenteditable element\n this.$nextTick(() => {\n const el = document.querySelector('[data-message-id=\"' + messageId + '\"]');\n if (el) {\n el.focus();\n // Move cursor to end\n const range = document.createRange();\n const sel = window.getSelection();\n range.selectNodeContents(el);\n range.collapse(false);\n sel.removeAllRanges();\n sel.addRange(range);\n }\n });\n },\n \n commitEditingMessage(event) {\n if (!this.editingMessageId) return;\n \n const msgIndex = this.messages.findIndex(m => m.id === this.editingMessageId);\n if (msgIndex !== -1 && event && event.target) {\n // Get text content - innerText preserves line breaks in

\n        const newContent = event.target.innerText;\n        if (newContent && newContent.trim()) {\n          this.messages[msgIndex].content = newContent;\n          this.saveToStorage();\n        }\n      }\n      this.editingMessageId = null;\n      this.editingMessageContent = '';\n    },\n    \n    cancelEditingMessage() {\n      // Restore original content by just clearing editing state\n      // Alpine will re-render with the original message.content\n      this.editingMessageId = null;\n      this.editingMessageContent = '';\n    },\n  };\n}\n",[],[195,1249,1331],"3c1a014e-ef19-11f0-ba8d-42dde27851f2","dragdrop.js","0b8a59c0-e2e9-11f0-b941-42dde27851f2",163,["D",1768155210997],"/**\n * Chat App Drag & Drop - Folder and item drag/drop functionality\n * Supports both mouse (HTML5 Drag API) and touch events for mobile\n */\n\nexport function createDragDropMethods() {\n  return {\n    // Touch drag state\n    touchDragActive: false,\n    touchDragElement: null,\n    touchDragGhost: null,\n    touchStartY: 0,\n    touchStartX: 0,\n    touchScrollTimeout: null,\n    \n    // Initialize touch drag (call this on touchstart after a delay)\n    initTouchDrag(e, type, id) {\n      if (this.touchDragActive) return;\n      \n      const touch = e.touches[0];\n      this.touchStartX = touch.clientX;\n      this.touchStartY = touch.clientY;\n      this.touchDragElement = e.currentTarget;\n      \n      // Start dragging\n      if (type === 'item') {\n        this.draggingItemId = id;\n        this.draggingFolderId = null;\n        this.draggingType = 'item';\n      } else {\n        this.draggingFolderId = id;\n        this.draggingItemId = null;\n        this.draggingType = 'folder';\n      }\n      \n      this.touchDragActive = true;\n      \n      // Create ghost element for visual feedback\n      this.createTouchGhost(e.currentTarget, touch);\n      \n      // Add dragging class\n      e.currentTarget.classList.add('is-dragging');\n    },\n    \n    createTouchGhost(element, touch) {\n      const ghost = element.cloneNode(true);\n      ghost.classList.add('touch-drag-ghost');\n      ghost.style.cssText = 'position: fixed; pointer-events: none; z-index: 9999; opacity: 0.8; transform: scale(1.02); box-shadow: 0 8px 25px rgba(0,0,0,0.15); background: var(--color-bg-primary, #fff); border-radius: 0.25rem; width: ' + element.offsetWidth + 'px;';\n      ghost.style.left = (touch.clientX - element.offsetWidth / 2) + 'px';\n      ghost.style.top = (touch.clientY - 20) + 'px';\n      document.body.appendChild(ghost);\n      this.touchDragGhost = ghost;\n    },\n    \n    updateTouchGhost(touch) {\n      if (this.touchDragGhost) {\n        this.touchDragGhost.style.left = (touch.clientX - this.touchDragGhost.offsetWidth / 2) + 'px';\n        this.touchDragGhost.style.top = (touch.clientY - 20) + 'px';\n      }\n    },\n    \n    removeTouchGhost() {\n      if (this.touchDragGhost && this.touchDragGhost.parentNode) {\n        this.touchDragGhost.parentNode.removeChild(this.touchDragGhost);\n      }\n      this.touchDragGhost = null;\n    },\n    \n    // Touch event handlers\n    // Long press threshold for initiating drag (ms)\n    LONG_PRESS_DELAY: 500,\n    \n    onTouchStart(e, type, id) {\n      // Always allow inputs to handle their own events\n      const target = e.target;\n      if (target.tagName === 'INPUT' || target.closest('input')) {\n        return;\n      }\n      \n      const touch = e.touches[0];\n      this.touchStartX = touch.clientX;\n      this.touchStartY = touch.clientY;\n      this.touchStartTime = Date.now();\n      this._pendingTouchDrag = { type, id, element: e.currentTarget };\n      this._touchMoved = false;\n      this._longPressTriggered = false;\n      \n      // Set a timeout for long-press to initiate drag\n      // We use a longer delay (500ms) to clearly distinguish from taps\n      this.touchScrollTimeout = setTimeout(() => {\n        if (this._pendingTouchDrag && !this._touchMoved) {\n          // Long press detected - start drag mode\n          this._longPressTriggered = true;\n          this.initTouchDrag(e, type, id);\n          // Vibrate for haptic feedback if available\n          if (navigator.vibrate) navigator.vibrate(50);\n        }\n      }, this.LONG_PRESS_DELAY);\n    },\n    \n    onTouchMove(e) {\n      // If we haven't started dragging yet, check movement\n      if (!this.touchDragActive && this._pendingTouchDrag) {\n        const touch = e.touches[0];\n        const deltaX = Math.abs(touch.clientX - this.touchStartX);\n        const deltaY = Math.abs(touch.clientY - this.touchStartY);\n        \n        // Any significant movement cancels the long-press drag initiation\n        if (deltaX > 5 || deltaY > 5) {\n          this._touchMoved = true;\n          this.cancelPendingTouchDrag();\n          // Allow default scroll behavior\n          return;\n        }\n        return;\n      }\n      \n      if (!this.touchDragActive) return;\n      \n      // We're in drag mode - prevent scrolling\n      e.preventDefault();\n      const touch = e.touches[0];\n      \n      // Update ghost position\n      this.updateTouchGhost(touch);\n      \n      // Find element under touch point\n      if (this.touchDragGhost) {\n        this.touchDragGhost.style.display = 'none';\n      }\n      const elementBelow = document.elementFromPoint(touch.clientX, touch.clientY);\n      if (this.touchDragGhost) {\n        this.touchDragGhost.style.display = '';\n      }\n      \n      if (elementBelow) {\n        const dropTarget = elementBelow.closest('.chat-item-drag-wrapper, .chat-folder-row, .chat-folder-root');\n        \n        if (dropTarget) {\n          const rect = dropTarget.getBoundingClientRect();\n          const y = touch.clientY - rect.top;\n          const height = rect.height;\n          \n          if (dropTarget.classList.contains('chat-folder-root')) {\n            this.dragOverRoot = true;\n            this.dragOverFolderRoot = dropTarget.closest('.chat-sidebar-group')?.querySelector('.chat-sidebar-group-label')?.textContent?.includes('Folders');\n            this.dropIndicator = null;\n          } else {\n            this.dragOverRoot = false;\n            this.dragOverFolderRoot = false;\n            \n            const targetId = parseInt(dropTarget.dataset?.id || dropTarget.closest('[data-id]')?.dataset?.id);\n            const isFolder = dropTarget.classList.contains('chat-folder-row');\n            const targetType = isFolder ? 'folder' : 'item';\n            const parentId = dropTarget.closest('.chat-folder-contents')?.closest('.chat-folder')?.querySelector('.chat-folder-row')?.dataset?.id;\n            \n            if (!isNaN(targetId)) {\n              if (this.draggingItemId === targetId && targetType === 'item') {\n                this.dropIndicator = null;\n                return;\n              }\n              if (this.draggingFolderId === targetId && targetType === 'folder') {\n                this.dropIndicator = null;\n                return;\n              }\n              \n              const threshold = 0.35;\n              let position;\n              if (y < height * threshold) {\n                position = 'before';\n              } else if (y > height * (1 - threshold)) {\n                position = 'after';\n              } else if (isFolder) {\n                position = 'inside';\n                this.dragOverFolderId = targetId;\n              } else {\n                position = 'after';\n              }\n              \n              if (position !== 'inside') {\n                this.dragOverFolderId = null;\n              }\n              \n              this.dropIndicator = { targetId, position, type: targetType, parentId: parentId ? parseInt(parentId) : null };\n            }\n          }\n        } else {\n          this.dropIndicator = null;\n          this.dragOverFolderId = null;\n        }\n      }\n    },\n    \n    onTouchEnd(e) {\n      const wasDragging = this.touchDragActive;\n      const longPressTriggered = this._longPressTriggered;\n      \n      this.cancelPendingTouchDrag();\n      this._longPressTriggered = false;\n      \n      // If we weren't dragging and long-press wasn't triggered, this was a quick tap\n      // Manually trigger a click on the target to ensure it registers\n      if (!wasDragging && !longPressTriggered) {\n        // Find the clickable element (button) and trigger click\n        const target = e.target;\n        const button = target.closest('button.chat-item-btn, button.chat-folder-label');\n        if (button) {\n          // Use a minimal timeout to let the touch event fully complete\n          setTimeout(() => button.click(), 0);\n        }\n        return;\n      }\n      \n      // We were dragging - perform the drop\n      if (this.dropIndicator) {\n        const { targetId, position, type, parentId } = this.dropIndicator;\n        const draggedItemId = this.draggingItemId;\n        const draggedFolderId = this.draggingFolderId;\n        \n        if (draggedItemId) {\n          if (position === 'inside' && type === 'folder') {\n            this.moveItemToFolder(draggedItemId, targetId);\n          } else {\n            this.reorderItem(draggedItemId, targetId, type, position, parentId);\n          }\n        } else if (draggedFolderId) {\n          if (position === 'inside' && type === 'folder') {\n            this.moveFolderToParent(draggedFolderId, targetId);\n          } else if (type === 'folder') {\n            this.reorderFolder(draggedFolderId, targetId, position, parentId);\n          }\n        }\n      } else if (this.dragOverRoot || this.dragOverFolderRoot) {\n        if (this.draggingItemId) {\n          this.moveItemToFolder(this.draggingItemId, null);\n        } else if (this.draggingFolderId) {\n          this.moveFolderToParent(this.draggingFolderId, null);\n        }\n      }\n      \n      // Clean up\n      if (this.touchDragElement) {\n        this.touchDragElement.classList.remove('is-dragging');\n      }\n      this.removeTouchGhost();\n      this.touchDragActive = false;\n      this.touchDragElement = null;\n      this.clearDragState();\n    },\n    \n    cancelPendingTouchDrag() {\n      clearTimeout(this.touchScrollTimeout);\n      this._pendingTouchDrag = null;\n    },\n    \n    onItemDragStart(e, itemId) {\n      try { if (e && e.dataTransfer) { e.dataTransfer.setData('text/plain', 'item:' + itemId); e.dataTransfer.effectAllowed = 'move'; } } catch (_) {}\n      this.draggingItemId = itemId;\n      this.draggingFolderId = null;\n      this.draggingType = 'item';\n    },\n    \n    onItemDragEnd() {\n      this.clearDragState();\n    },\n    \n    onFolderDragStart(e, folderId) {\n      try { if (e && e.dataTransfer) { e.dataTransfer.setData('text/plain', 'folder:' + folderId); e.dataTransfer.effectAllowed = 'move'; } } catch (_) {}\n      this.draggingFolderId = folderId;\n      this.draggingItemId = null;\n      this.draggingType = 'folder';\n    },\n    \n    onFolderDragEnd() {\n      this.clearDragState();\n    },\n    \n    clearDragState() {\n      this.draggingItemId = null;\n      this.draggingFolderId = null;\n      this.draggingType = null;\n      this.dropIndicator = null;\n      this.dragOverFolderId = null;\n      this.dragOverRoot = false;\n      this.dragOverFolderRoot = false;\n    },\n    \n    onItemDragOver(e, targetId, targetType, parentId) {\n      e.preventDefault();\n      e.stopPropagation();\n      \n      if (this.draggingItemId === targetId && targetType === 'item') return;\n      if (this.draggingFolderId === targetId && targetType === 'folder') return;\n      \n      if (this.draggingFolderId && targetType === 'folder') {\n        const descendants = this.getAllDescendantFolderIds(this.draggingFolderId);\n        if (descendants.includes(targetId)) return;\n      }\n      \n      const rect = e.currentTarget.getBoundingClientRect();\n      const y = e.clientY - rect.top;\n      const height = rect.height;\n      const threshold = 0.35;\n      \n      let position;\n      if (y < height * threshold) {\n        position = 'before';\n      } else if (y > height * (1 - threshold)) {\n        position = 'after';\n      } else if (targetType === 'folder') {\n        position = 'inside';\n        this.dragOverFolderId = targetId;\n      } else {\n        position = 'after';\n      }\n      \n      if (position !== 'inside') {\n        this.dragOverFolderId = null;\n      }\n      \n      this.dropIndicator = { targetId, position, type: targetType, parentId };\n    },\n    \n    onItemDragLeave(e) {\n      if (e.currentTarget.contains(e.relatedTarget)) return;\n      if (this.dropIndicator && this.dropIndicator.targetId === parseInt(e.currentTarget.dataset?.id)) {\n        this.dropIndicator = null;\n      }\n    },\n    \n    onReorderDrop(e, targetId, targetType, parentId) {\n      e.preventDefault();\n      e.stopPropagation();\n      \n      if (!this.dropIndicator) return;\n      \n      const { position } = this.dropIndicator;\n      const draggedItemId = this.draggingItemId;\n      const draggedFolderId = this.draggingFolderId;\n      \n      if (draggedItemId) {\n        if (position === 'inside' && targetType === 'folder') {\n          this.moveItemToFolder(draggedItemId, targetId);\n        } else {\n          this.reorderItem(draggedItemId, targetId, targetType, position, parentId);\n        }\n      } else if (draggedFolderId) {\n        if (position === 'inside' && targetType === 'folder') {\n          this.moveFolderToParent(draggedFolderId, targetId);\n        } else if (targetType === 'folder') {\n          this.reorderFolder(draggedFolderId, targetId, position, parentId);\n        }\n      }\n      \n      this.clearDragState();\n    },\n    \n    reorderItem(itemId, targetId, targetType, position, targetParentId) {\n      const item = this.items.find(i => i.id === itemId);\n      if (!item) return;\n      \n      let newFolderId;\n      if (targetType === 'folder') {\n        const targetFolder = this.folders.find(f => f.id === targetId);\n        newFolderId = targetFolder ? targetFolder.parentId : null;\n      } else {\n        const targetItem = this.items.find(i => i.id === targetId);\n        newFolderId = targetItem ? targetItem.folderId : targetParentId;\n      }\n      \n      item.folderId = newFolderId;\n      \n      const siblings = this.items\n        .filter(i => i.folderId === newFolderId && i.id !== itemId)\n        .sort((a, b) => a.order - b.order);\n      \n      let targetIndex = targetType === 'item' \n        ? siblings.findIndex(i => i.id === targetId)\n        : siblings.length - 1;\n      \n      if (position === 'before') {\n        siblings.splice(Math.max(0, targetIndex), 0, item);\n      } else {\n        siblings.splice(targetIndex + 1, 0, item);\n      }\n      \n      siblings.forEach((s, idx) => { s.order = idx + 1; });\n    },\n    \n    reorderFolder(folderId, targetFolderId, position, targetParentId) {\n      const folder = this.folders.find(f => f.id === folderId);\n      const targetFolder = this.folders.find(f => f.id === targetFolderId);\n      if (!folder || !targetFolder) return;\n      \n      const descendants = this.getAllDescendantFolderIds(folderId);\n      if (descendants.includes(targetFolderId)) return;\n      \n      const newParentId = targetFolder.parentId;\n      folder.parentId = newParentId;\n      \n      const siblings = this.folders\n        .filter(f => f.parentId === newParentId && f.id !== folderId)\n        .sort((a, b) => a.order - b.order);\n      \n      const targetIndex = siblings.findIndex(f => f.id === targetFolderId);\n      \n      if (position === 'before') {\n        siblings.splice(Math.max(0, targetIndex), 0, folder);\n      } else {\n        siblings.splice(targetIndex + 1, 0, folder);\n      }\n      \n      siblings.forEach((s, idx) => { s.order = idx + 1; });\n    },\n    \n    moveItemToFolder(itemId, folderId) {\n      const item = this.items.find(i => i.id === itemId);\n      if (!item) return;\n      item.folderId = folderId;\n      item.order = this.getMaxOrder(this.items.filter(i => i.folderId === folderId)) + 1;\n    },\n    \n    moveFolderToParent(folderId, parentId) {\n      const folder = this.folders.find(f => f.id === folderId);\n      if (!folder) return;\n      \n      if (parentId !== null) {\n        const descendants = this.getAllDescendantFolderIds(folderId);\n        if (descendants.includes(parentId) || folderId === parentId) return;\n      }\n      \n      folder.parentId = parentId;\n      folder.order = this.getMaxOrder(this.folders.filter(f => f.parentId === parentId)) + 1;\n    },\n    \n    onRootDragOver(e) {\n      e.preventDefault();\n      this.dragOverRoot = true;\n      this.dragOverFolderId = null;\n    },\n    \n    onRootDragLeave() {\n      this.dragOverRoot = false;\n    },\n    \n    onRootDrop(e) {\n      e.preventDefault();\n      \n      if (this.dropIndicator) {\n        this.onReorderDrop(e, this.dropIndicator.targetId, this.dropIndicator.type, this.dropIndicator.parentId);\n        return;\n      }\n      \n      if (this.draggingItemId) {\n        this.moveItemToFolder(this.draggingItemId, null);\n      } else if (this.draggingFolderId) {\n        this.moveFolderToParent(this.draggingFolderId, null);\n      }\n      this.clearDragState();\n    },\n    \n    onFolderRootDragOver(e) {\n      e.preventDefault();\n      if (this.draggingFolderId) {\n        const folder = this.folders.find(f => f.id === this.draggingFolderId);\n        if (folder && folder.parentId !== null) {\n          this.dragOverFolderRoot = true;\n        }\n      }\n      this.dropIndicator = null;\n    },\n    \n    onFolderRootDragLeave() {\n      this.dragOverFolderRoot = false;\n    },\n    \n    onFolderRootDrop(e) {\n      e.preventDefault();\n      e.stopPropagation();\n      \n      if (this.dropIndicator) {\n        this.onReorderDrop(e, this.dropIndicator.targetId, this.dropIndicator.type, this.dropIndicator.parentId);\n        return;\n      }\n      \n      if (this.draggingFolderId) {\n        this.moveFolderToParent(this.draggingFolderId, null);\n      }\n      \n      this.clearDragState();\n    },\n    \n    showDropBefore(id, type) {\n      return this.dropIndicator && \n             this.dropIndicator.targetId === id && \n             this.dropIndicator.type === type && \n             this.dropIndicator.position === 'before';\n    },\n    \n    showDropAfter(id, type) {\n      return this.dropIndicator && \n             this.dropIndicator.targetId === id && \n             this.dropIndicator.type === type && \n             this.dropIndicator.position === 'after';\n    },\n    \n    showDropInside(id) {\n      return this.dropIndicator && \n             this.dropIndicator.targetId === id && \n             this.dropIndicator.position === 'inside';\n    },\n  };\n}\n",[],[195,1249,1339],"3c4465ba-ef19-11f0-91a1-42dde27851f2","chats.js","0bf00888-e2e9-11f0-bcd5-42dde27851f2",169,["D",1768155211259],"/**\n * Chat App Chats - Chat/item operations\n * \n * Uses unified chat structure: chats[id] = { messages: [], metadata: {...} }\n */\n\nimport { createChatData, createChatMetadata } from './state.js';\n\nexport function createChatMethods() {\n  return {\n    createNewChat(folderId = null) {\n      const id = this.nextItemId++;\n      const order = this.getMaxOrder(this.items.filter(i => i.folderId === folderId)) + 1;\n      const item = { id, name: 'New Chat', folderId, order };\n      this.items.push(item);\n      \n      // Add welcome message if setting is enabled\n      const initialMessages = [];\n      if (this.settings?.showWelcomeMessage) {\n        initialMessages.push({\n          id: Date.now(),\n          role: 'assistant',\n          content: 'Hello! How can I help you today?',\n          timestamp: new Date().toISOString()\n        });\n      }\n      \n      // Create chat with unified structure (messages + metadata)\n      this.chats[id] = createChatData(initialMessages);\n      \n      this.selectChat(id);\n      return item;\n    },\n    \n    deleteChat(chatId) {\n      this.items = this.items.filter(i => i.id !== chatId);\n      delete this.chats[chatId];\n      if (this.activeChatId === chatId) {\n        this.activeChatId = null;\n        // Clear array without replacing reference\n        this.messages.length = 0;\n      }\n      this.itemMenuOpen = null;\n    },\n    \n    // Fork entire chat - duplicate with all messages, metadata, and settings\n    forkEntireChat(chatId) {\n      const originalItem = this.items.find(i => i.id === chatId);\n      const originalChatData = this.chats[chatId];\n      \n      if (!originalItem || !originalChatData) {\n        console.warn('[forkEntireChat] Chat not found:', chatId);\n        return null;\n      }\n      \n      // Create new chat item in the same folder\n      const id = this.nextItemId++;\n      const folderId = originalItem.folderId;\n      const order = this.getMaxOrder(this.items.filter(i => i.folderId === folderId)) + 1;\n      const item = { \n        id, \n        name: originalItem.name + ' (Fork)', \n        folderId, \n        order \n      };\n      this.items.push(item);\n      \n      // Deep copy all messages to preserve all message metadata\n      const messagesCopy = JSON.parse(JSON.stringify(originalChatData.messages || []));\n      \n      // Deep copy the chat's metadata (settings, system prompt, parameters)\n      let forkedMetadata = {\n        createdAt: Date.now(),\n        updatedAt: Date.now(),\n        forkedFrom: chatId,\n        forkedAt: Date.now()\n      };\n      \n      // Copy all chat settings from the source chat\n      if (originalChatData.metadata) {\n        const sourceMetadata = originalChatData.metadata;\n        forkedMetadata = {\n          ...forkedMetadata,\n          systemPrompt: sourceMetadata.systemPrompt || '',\n          defaultModel: sourceMetadata.defaultModel || null,\n          parameters: sourceMetadata.parameters ? JSON.parse(JSON.stringify(sourceMetadata.parameters)) : {},\n          appliedTemplateId: sourceMetadata.appliedTemplateId || null\n        };\n      }\n      \n      // Create chat with forked messages and settings\n      this.chats[id] = {\n        messages: messagesCopy,\n        metadata: forkedMetadata\n      };\n      \n      // Select the new chat\n      this.selectChat(id);\n      \n      // Close the menu\n      this.itemMenuOpen = null;\n      \n      console.log('[forkEntireChat] Created forked chat:', id, 'with', messagesCopy.length, 'messages and copied settings');\n      \n      return item;\n    },\n    \n    selectChat(chatId) {\n      // Cancel any active job stream before switching (job keeps running on server)\n      if (this.activeJobId && this.activeChatId !== chatId) {\n        console.log('[Switching chat] Stopping job stream:', this.activeJobId);\n        try {\n          if (this.jobs && this.jobs.stopStreaming) {\n            this.jobs.stopStreaming(this.activeJobId);\n          }\n        } catch (e) {\n          console.warn('[Switching chat] Error stopping stream:', e);\n        }\n        this.activeJobId = null;\n      }\n      \n      // Save current chat messages before switching (unified structure)\n      if (this.activeChatId && this.activeChatId !== chatId) {\n        if (!this.chats[this.activeChatId]) {\n          this.chats[this.activeChatId] = createChatData();\n        }\n        this.chats[this.activeChatId].messages = JSON.parse(JSON.stringify(this.messages));\n      }\n      \n      this.activeChatId = chatId;\n      \n      // Get messages from unified structure\n      const chatData = this.chats[chatId];\n      const rawMessages = chatData && chatData.messages ? chatData.messages : [];\n      const ensuredMessages = this.ensureMessageIds(JSON.parse(JSON.stringify(rawMessages)));\n      \n      // CRITICAL: Never replace the messages array reference\n      // Instead, mutate the existing array to maintain Alpine reactivity\n      this.messages.length = 0;\n      if (Array.isArray(ensuredMessages)) {\n        ensuredMessages.forEach(msg => this.messages.push(msg));\n      }\n      \n      this.showSettings = false; // Close settings when selecting a chat\n      \n      // Load chat-specific settings for right sidebar\n      if (this.loadCurrentChatSettings) {\n        this.loadCurrentChatSettings();\n      }\n      \n      // Restore chat-specific model if saved\n      this.restoreChatModel(chatId);\n      \n      this.saveToStorage();\n      \n      this.$nextTick(() => {\n        this.scrollToBottom();\n        if (this.$refs.input) {\n          this.$refs.input.focus();\n        }\n      });\n    },\n    \n    getCurrentChatName() {\n      const chat = this.items.find(i => i.id === this.activeChatId);\n      return chat ? chat.name : 'Chat';\n    },\n    \n    // Rename a chat by ID\n    renameChat(chatId, newName) {\n      const item = this.items.find(i => i.id === chatId);\n      if (item) {\n        item.name = newName;\n        this.saveToStorage();\n        console.log('[renameChat] Renamed chat', chatId, 'to:', newName);\n        return true;\n      }\n      return false;\n    },\n    \n    getItemsInFolder(folderId) {\n      // Access itemsVersion to create a reactive dependency\n      const _ = this.itemsVersion;\n      return this.items.filter(i => i.folderId === folderId).sort((a, b) => a.order - b.order);\n    },\n    \n    getRootItems() {\n      // Access itemsVersion to create a reactive dependency\n      const _ = this.itemsVersion;\n      return this.items.filter(i => i.folderId === null).sort((a, b) => a.order - b.order);\n    },\n    \n    // Restore the saved model for a specific chat from its unified metadata\n    restoreChatModel(chatId) {\n      if (!chatId || !this.chats[chatId]) {\n        return false;\n      }\n      \n      const metadata = this.chats[chatId].metadata;\n      if (!metadata || !metadata.defaultModel) {\n        return false;\n      }\n      \n      const savedModelId = metadata.defaultModel;\n      \n      // Find the model in the models list\n      const savedModel = this.models.find(m => m.id === savedModelId);\n      if (savedModel) {\n        this.selectedModel = savedModel;\n        console.log('[restoreChatModel] Restored model for chat', chatId, ':', savedModelId);\n        return true;\n      } else {\n        console.warn('[restoreChatModel] Saved model not found:', savedModelId);\n        return false;\n      }\n    },\n  };\n}\n",[],[195,1249,1347],"3ca82992-ef19-11f0-926a-42dde27851f2","chatSettings.js","0bd5164a-e2e9-11f0-b39b-42dde27851f2",179,["D",1768155211287],"/**\n * Chat App Chat Settings - Right sidebar for chat-specific settings\n * Handles system prompt, model parameters, and per-message metadata\n * \n * Uses unified chat structure: chats[id] = { messages: [], metadata: {...} }\n */\n\nimport { createChatMetadata, createMessageMetadata, DEFAULT_MODEL_PARAMS, createChatData } from './state.js';\n\nexport function createChatSettingsMethods() {\n  return {\n    // Toggle right sidebar\n    toggleRightSidebar() {\n      this.rightSidebarOpen = !this.rightSidebarOpen;\n      // Close settings page when opening right sidebar\n      if (this.rightSidebarOpen) {\n        this.showSettings = false;\n      }\n      // Load current chat settings when opening\n      if (this.rightSidebarOpen && this.activeChatId) {\n        this.loadCurrentChatSettings();\n      }\n    },\n    \n    // Load settings for the current active chat (from unified structure)\n    loadCurrentChatSettings() {\n      if (!this.activeChatId) {\n        // Reset to defaults\n        this.currentChatSettings = {\n          systemPrompt: '',\n          temperature: DEFAULT_MODEL_PARAMS.temperature,\n          maxTokens: DEFAULT_MODEL_PARAMS.maxTokens,\n          topP: DEFAULT_MODEL_PARAMS.topP,\n          frequencyPenalty: DEFAULT_MODEL_PARAMS.frequencyPenalty,\n          presencePenalty: DEFAULT_MODEL_PARAMS.presencePenalty,\n          reasoningEffort: DEFAULT_MODEL_PARAMS.reasoningEffort,\n          webSearch: DEFAULT_MODEL_PARAMS.webSearch,\n          codeExecution: DEFAULT_MODEL_PARAMS.codeExecution,\n          imageDetail: DEFAULT_MODEL_PARAMS.imageDetail,\n          modelVersion: DEFAULT_MODEL_PARAMS.modelVersion\n        };\n        return;\n      }\n      \n      // Ensure chat exists with proper structure\n      if (!this.chats[this.activeChatId]) {\n        this.chats[this.activeChatId] = createChatData();\n      }\n      \n      // Ensure metadata exists\n      if (!this.chats[this.activeChatId].metadata) {\n        this.chats[this.activeChatId].metadata = createChatMetadata();\n      }\n      \n      const metadata = this.chats[this.activeChatId].metadata;\n      const params = metadata.parameters || {};\n      \n      this.currentChatSettings = {\n        systemPrompt: metadata.systemPrompt || '',\n        temperature: params.temperature ?? DEFAULT_MODEL_PARAMS.temperature,\n        maxTokens: params.maxTokens ?? DEFAULT_MODEL_PARAMS.maxTokens,\n        topP: params.topP ?? DEFAULT_MODEL_PARAMS.topP,\n        frequencyPenalty: params.frequencyPenalty ?? DEFAULT_MODEL_PARAMS.frequencyPenalty,\n        presencePenalty: params.presencePenalty ?? DEFAULT_MODEL_PARAMS.presencePenalty,\n        reasoningEffort: params.reasoningEffort ?? DEFAULT_MODEL_PARAMS.reasoningEffort,\n        webSearch: params.webSearch ?? DEFAULT_MODEL_PARAMS.webSearch,\n        codeExecution: params.codeExecution ?? DEFAULT_MODEL_PARAMS.codeExecution,\n        imageDetail: params.imageDetail ?? DEFAULT_MODEL_PARAMS.imageDetail,\n        modelVersion: params.modelVersion ?? DEFAULT_MODEL_PARAMS.modelVersion\n      };\n    },\n    \n    // Save current chat settings to metadata (unified structure)\n    saveChatSettings() {\n      if (!this.activeChatId) return;\n      \n      // Ensure chat exists with proper structure\n      if (!this.chats[this.activeChatId]) {\n        this.chats[this.activeChatId] = createChatData();\n      }\n      \n      // Ensure metadata exists\n      if (!this.chats[this.activeChatId].metadata) {\n        this.chats[this.activeChatId].metadata = createChatMetadata();\n      }\n      \n      const metadata = this.chats[this.activeChatId].metadata;\n      metadata.systemPrompt = this.currentChatSettings.systemPrompt;\n      metadata.parameters = {\n        temperature: this.currentChatSettings.temperature,\n        maxTokens: this.currentChatSettings.maxTokens,\n        topP: this.currentChatSettings.topP,\n        frequencyPenalty: this.currentChatSettings.frequencyPenalty,\n        presencePenalty: this.currentChatSettings.presencePenalty,\n        reasoningEffort: this.currentChatSettings.reasoningEffort,\n        webSearch: this.currentChatSettings.webSearch,\n        codeExecution: this.currentChatSettings.codeExecution,\n        imageDetail: this.currentChatSettings.imageDetail,\n        modelVersion: this.currentChatSettings.modelVersion\n      };\n      metadata.updatedAt = new Date().toISOString();\n      \n      this.saveToStorage();\n      console.log('[Chat Settings] Saved settings for chat:', this.activeChatId);\n    },\n    \n    // Update a single setting (debounced save)\n    updateChatSetting(key, value) {\n      this.currentChatSettings[key] = value;\n      \n      // Debounce the save\n      if (this._settingsSaveTimeout) {\n        clearTimeout(this._settingsSaveTimeout);\n      }\n      this._settingsSaveTimeout = setTimeout(() => {\n        this.saveChatSettings();\n      }, 500);\n    },\n    \n    // Get current chat's system prompt\n    getSystemPrompt() {\n      if (!this.activeChatId || !this.chats[this.activeChatId]) {\n        return '';\n      }\n      const metadata = this.chats[this.activeChatId].metadata;\n      return metadata ? (metadata.systemPrompt || '') : '';\n    },\n    \n    // Get current chat's model parameters\n    getChatParameters() {\n      if (!this.activeChatId || !this.currentChatSettings) {\n        return { ...DEFAULT_MODEL_PARAMS, systemPrompt: '' };\n      }\n      return {\n        systemPrompt: this.currentChatSettings.systemPrompt || '',\n        temperature: this.currentChatSettings.temperature ?? DEFAULT_MODEL_PARAMS.temperature,\n        maxTokens: this.currentChatSettings.maxTokens ?? DEFAULT_MODEL_PARAMS.maxTokens,\n        topP: this.currentChatSettings.topP ?? DEFAULT_MODEL_PARAMS.topP,\n        frequencyPenalty: this.currentChatSettings.frequencyPenalty ?? DEFAULT_MODEL_PARAMS.frequencyPenalty,\n        presencePenalty: this.currentChatSettings.presencePenalty ?? DEFAULT_MODEL_PARAMS.presencePenalty,\n        reasoningEffort: this.currentChatSettings.reasoningEffort ?? DEFAULT_MODEL_PARAMS.reasoningEffort,\n        webSearch: this.currentChatSettings.webSearch ?? DEFAULT_MODEL_PARAMS.webSearch,\n        codeExecution: this.currentChatSettings.codeExecution ?? DEFAULT_MODEL_PARAMS.codeExecution,\n        imageDetail: this.currentChatSettings.imageDetail ?? DEFAULT_MODEL_PARAMS.imageDetail,\n        modelVersion: this.currentChatSettings.modelVersion ?? DEFAULT_MODEL_PARAMS.modelVersion,\n      };\n    },\n    \n    // Get model config for the currently selected model\n    getCurrentModelConfig() {\n      if (!this.selectedModel || !this.modelConfigs.length) {\n        return null;\n      }\n      return this.modelConfigs.find(function(c) {\n        return c.id === this.selectedModel.id;\n      }.bind(this)) || null;\n    },\n    \n    // Create message metadata when sending a message\n    createMessageMeta() {\n      var modelId = this.selectedModel ? this.selectedModel.id : null;\n      var params = this.getChatParameters();\n      return createMessageMetadata(modelId, params);\n    },\n    \n    // Load model configs from API\n    async loadModelConfigs() {\n      try {\n        var response = await fetch('/api/models/configs');\n        if (response.ok) {\n          var data = await response.json();\n          this.modelConfigs = data.models || [];\n          console.log('[Model Configs] Loaded', this.modelConfigs.length, 'model configs');\n        }\n      } catch (error) {\n        console.error('[Model Configs] Failed to load:', error);\n      }\n    },\n    \n    // Reset current chat settings to defaults\n    resetChatSettings() {\n      this.currentChatSettings = {\n        systemPrompt: '',\n        temperature: DEFAULT_MODEL_PARAMS.temperature,\n        maxTokens: DEFAULT_MODEL_PARAMS.maxTokens,\n        topP: DEFAULT_MODEL_PARAMS.topP,\n        frequencyPenalty: DEFAULT_MODEL_PARAMS.frequencyPenalty,\n        presencePenalty: DEFAULT_MODEL_PARAMS.presencePenalty,\n        reasoningEffort: DEFAULT_MODEL_PARAMS.reasoningEffort,\n        webSearch: DEFAULT_MODEL_PARAMS.webSearch,\n        codeExecution: DEFAULT_MODEL_PARAMS.codeExecution,\n        imageDetail: DEFAULT_MODEL_PARAMS.imageDetail,\n        modelVersion: DEFAULT_MODEL_PARAMS.modelVersion\n      };\n      \n      // Also clear the saved model and applied template for this chat\n      if (this.activeChatId && this.chats[this.activeChatId] && this.chats[this.activeChatId].metadata) {\n        this.chats[this.activeChatId].metadata.defaultModel = null;\n        this.chats[this.activeChatId].metadata.appliedTemplateId = null;\n      }\n      \n      this.saveChatSettings();\n      \n      if (window.toast) {\n        window.toast('Chat settings reset to defaults', { type: 'info' });\n      }\n    },\n    \n    // Get the currently applied template ID for this chat\n    getAppliedTemplateId() {\n      if (!this.activeChatId || !this.chats[this.activeChatId]) {\n        return null;\n      }\n      var metadata = this.chats[this.activeChatId].metadata;\n      return metadata ? (metadata.appliedTemplateId || null) : null;\n    },\n    \n    // Get the currently applied template object\n    getAppliedTemplate() {\n      var templateId = this.getAppliedTemplateId();\n      if (!templateId) return null;\n      return this.templates.find(function(t) { return t.id === templateId; }) || null;\n    },\n    \n    // Apply a template to the current chat and track it\n    applyTemplateToChatWithTracking(templateId) {\n      if (!templateId) {\n        // Clear template\n        if (this.activeChatId && this.chats[this.activeChatId] && this.chats[this.activeChatId].metadata) {\n          this.chats[this.activeChatId].metadata.appliedTemplateId = null;\n        }\n        this.saveToStorage();\n        return;\n      }\n      \n      var template = this.templates.find(function(t) { return t.id === templateId; });\n      if (!template || !this.activeChatId) return;\n      \n      // Copy template settings to current chat settings\n      this.currentChatSettings.systemPrompt = template.systemPrompt || '';\n      this.currentChatSettings.temperature = template.parameters?.temperature ?? DEFAULT_MODEL_PARAMS.temperature;\n      this.currentChatSettings.maxTokens = template.parameters?.maxTokens ?? DEFAULT_MODEL_PARAMS.maxTokens;\n      this.currentChatSettings.topP = template.parameters?.topP ?? DEFAULT_MODEL_PARAMS.topP;\n      this.currentChatSettings.frequencyPenalty = template.parameters?.frequencyPenalty ?? DEFAULT_MODEL_PARAMS.frequencyPenalty;\n      this.currentChatSettings.presencePenalty = template.parameters?.presencePenalty ?? DEFAULT_MODEL_PARAMS.presencePenalty;\n      this.currentChatSettings.reasoningEffort = template.parameters?.reasoningEffort ?? DEFAULT_MODEL_PARAMS.reasoningEffort;\n      this.currentChatSettings.webSearch = template.parameters?.webSearch ?? DEFAULT_MODEL_PARAMS.webSearch;\n      this.currentChatSettings.codeExecution = template.parameters?.codeExecution ?? DEFAULT_MODEL_PARAMS.codeExecution;\n      this.currentChatSettings.imageDetail = template.parameters?.imageDetail ?? DEFAULT_MODEL_PARAMS.imageDetail;\n      this.currentChatSettings.modelVersion = template.parameters?.modelVersion ?? DEFAULT_MODEL_PARAMS.modelVersion;\n      \n      // Apply default model if set\n      if (template.defaultModel) {\n        var model = this.models.find(function(m) { return m.id === template.defaultModel; });\n        if (model) {\n          this.selectedModel = model;\n        }\n      }\n      \n      // Track which template was applied\n      if (!this.chats[this.activeChatId].metadata) {\n        this.chats[this.activeChatId].metadata = createChatMetadata();\n      }\n      this.chats[this.activeChatId].metadata.appliedTemplateId = templateId;\n      \n      this.saveChatSettings();\n      \n      if (window.toast) {\n        window.toast('Template \"' + template.name + '\" applied', { type: 'success' });\n      }\n    },\n    \n    // Save current chat settings back to the applied template\n    saveChatSettingsToTemplate() {\n      var templateId = this.getAppliedTemplateId();\n      if (!templateId) return;\n      \n      var template = this.templates.find(function(t) { return t.id === templateId; });\n      if (!template) return;\n      \n      // Update template with current chat settings\n      template.systemPrompt = this.currentChatSettings.systemPrompt;\n      template.parameters = {\n        temperature: this.currentChatSettings.temperature,\n        maxTokens: this.currentChatSettings.maxTokens,\n        topP: this.currentChatSettings.topP,\n        frequencyPenalty: this.currentChatSettings.frequencyPenalty,\n        presencePenalty: this.currentChatSettings.presencePenalty,\n        reasoningEffort: this.currentChatSettings.reasoningEffort,\n        webSearch: this.currentChatSettings.webSearch,\n        codeExecution: this.currentChatSettings.codeExecution,\n        imageDetail: this.currentChatSettings.imageDetail,\n        modelVersion: this.currentChatSettings.modelVersion\n      };\n      \n      // Save model if one is selected\n      if (this.selectedModel) {\n        template.defaultModel = this.selectedModel.id;\n      }\n      \n      template.updatedAt = new Date().toISOString();\n      this.templatesVersion++;\n      this.saveToStorage();\n      \n      if (window.toast) {\n        window.toast('Saved to template \"' + template.name + '\"', { type: 'success' });\n      }\n    },\n    \n    // Save current chat settings as a new template\n    saveChatSettingsAsNewTemplate() {\n      var templateName = 'Template from Chat';\n      \n      // Prompt for name (simple approach)\n      var name = prompt('Enter a name for the new template:', templateName);\n      if (!name) return;\n      \n      var newTemplate = {\n        id: 'template_' + Date.now(),\n        name: name,\n        folderId: null,\n        systemPrompt: this.currentChatSettings.systemPrompt,\n        defaultModel: this.selectedModel ? this.selectedModel.id : null,\n        parameters: {\n          temperature: this.currentChatSettings.temperature,\n          maxTokens: this.currentChatSettings.maxTokens,\n          topP: this.currentChatSettings.topP,\n          frequencyPenalty: this.currentChatSettings.frequencyPenalty,\n          presencePenalty: this.currentChatSettings.presencePenalty,\n          reasoningEffort: this.currentChatSettings.reasoningEffort,\n          webSearch: this.currentChatSettings.webSearch,\n          codeExecution: this.currentChatSettings.codeExecution,\n          imageDetail: this.currentChatSettings.imageDetail,\n          modelVersion: this.currentChatSettings.modelVersion\n        },\n        createdAt: new Date().toISOString(),\n        updatedAt: new Date().toISOString()\n      };\n      \n      this.templates.push(newTemplate);\n      \n      // Apply the new template to this chat\n      if (this.activeChatId && this.chats[this.activeChatId]) {\n        if (!this.chats[this.activeChatId].metadata) {\n          this.chats[this.activeChatId].metadata = createChatMetadata();\n        }\n        this.chats[this.activeChatId].metadata.appliedTemplateId = newTemplate.id;\n      }\n      \n      this.templatesVersion++;\n      this.saveToStorage();\n      \n      if (window.toast) {\n        window.toast('Created template \"' + name + '\"', { type: 'success' });\n      }\n    }\n  };\n}\n",[],[195,1249,1355],"0a3a7f8c-e2e9-11f0-9dc9-42dde27851f2",6,["D",1766815097530],[254,255,256,257,258,259,260,261,262,263,264,265,266,267,268],[195,1249],"09c1524c-e2e9-11f0-b941-42dde27851f2",["D",1766815096734],[253,269,293,370,371],[195],"0dea01fc-e2e9-11f0-98a3-42dde27851f2","utils.ts","0dea02ba-e2e9-11f0-98a3-42dde27851f2","0a094ebc-e2e9-11f0-8ff9-42dde27851f2",113,["D",1766815103714],"// Environment-aware file utilities for serving project assets\nimport { readFile as vtReadFile } from \"https://esm.town/v/std/utils@85-main/index.ts\";\n\nexport async function readFileContent(filePath: string, importMetaUrl: string): Promise {\n  if (typeof Deno !== \"undefined\" && Deno.env?.get && Deno.env.get(\"valtown\")) {\n    try {\n      return await vtReadFile(filePath, importMetaUrl);\n    } catch (error) {\n      throw new Error(\"File not found on Val Town: \" + filePath);\n    }\n  }\n  const resolvedPath = new URL(\".\" + filePath, importMetaUrl).pathname;\n  return await Deno.readTextFile(resolvedPath);\n}\n\nexport async function readBinaryFile(filePath: string, importMetaUrl: string): Promise {\n  const resolvedPath = new URL(\".\" + filePath, importMetaUrl).pathname;\n  return await Deno.readFile(resolvedPath);\n}\n\nexport function textResponse(text: string, contentType = \"text/plain; charset=utf-8\"): Response {\n  return new Response(text, { headers: { \"Content-Type\": contentType } });\n}\n\nexport function jsonResponse(data: unknown): Response {\n  return new Response(JSON.stringify(data), { \n    headers: { \"Content-Type\": \"application/json\" } \n  });\n}\n\n",[],[1380,1372],"backend","0df4e5d6-e2e9-11f0-80a8-42dde27851f2","index.ts","0df4e694-e2e9-11f0-80a8-42dde27851f2",115,["D",1766815103712],"// Chat App Backend - Modular Hono Server\nimport { Hono } from \"https://deno.land/x/hono@v3.11.7/mod.ts\";\nimport \"jsr:@std/dotenv/load\";\n\nimport { registerStaticRoutes } from \"./routes/static.ts\";\nimport { registerSystemRoutes } from \"./routes/system.ts\";\nimport { registerProviderRoutes } from \"./routes/providers.ts\";\nimport { registerChatRoutes } from \"./routes/chat.ts\";\nimport { registerJobsRoutes } from \"./routes/jobs.ts\";\n\nexport function createApp(importMetaUrl: string): Hono {\n  const app = new Hono();\n\n  // Unwrap Hono errors to see original error details\n  app.onError((err: Error) => { throw err; });\n\n  // Register route modules\n  registerSystemRoutes(app);\n  registerProviderRoutes(app);\n  registerChatRoutes(app);\n  registerJobsRoutes(app);\n  registerStaticRoutes(app, importMetaUrl);\n\n  return app;\n}\n\n",[],[1380,1382],"0dede1c8-e2e9-11f0-b941-42dde27851f2","config.ts","0dede286-e2e9-11f0-b941-42dde27851f2",114,["D",1766815103736],"// Backend configuration\nimport \"jsr:@std/dotenv/load\";\n\n// Server API key (optional - users can provide their own)\nexport const serverApiKey: string | null = Deno.env.get('GROQ_API_KEY') || null;\n\n// Default model settings\nexport const settings = {\n  model: 'openai/gpt-oss-120b',\n  stream: true,\n  reasoningEffort: 'medium'\n};\n\n",[],[1380,1390],"0e1a62c0-e2e9-11f0-b141-42dde27851f2","system.ts","0e1a6392-e2e9-11f0-b141-42dde27851f2","0a85d1bc-e2e9-11f0-a5e5-42dde27851f2",120,["D",1766815104028],"// System/health endpoints\nimport type { Context } from \"https://deno.land/x/hono@v3.11.7/mod.ts\";\nimport { listConfiguredProviders } from \"../providers/index.ts\";\nimport { serverApiKey } from \"../config.ts\";\n\ntype HonoApp = { \n  get: (path: string, handler: (c: Context) => Response) => void;\n};\n\nexport function registerSystemRoutes(app: HonoApp): void {\n  // Health check\n  app.get('/health', (c: Context) => {\n    return c.json({ \n      status: \"ok\", \n      app: \"chat-app\",\n      providers: listConfiguredProviders(),\n    });\n  });\n\n  // Check if server has API key configured\n  app.get('/api/check-key', (c: Context) => {\n    return c.json({ hasServerKey: !!serverApiKey });\n  });\n}\n\n",[],[1380,1406,1398],"routes","3d3495e4-ef19-11f0-926a-42dde27851f2","static.ts","0df75ef6-e2e9-11f0-b941-42dde27851f2",202,["D",1768155212774],"// Static file routes\nimport type { Context } from \"https://deno.land/x/hono@v3.11.7/mod.ts\";\nimport { readFileContent, readBinaryFile, textResponse } from \"../utils.ts\";\n\ntype HonoApp = { \n  get: (path: string, handler: (c: Context) => Promise | Response) => void \n};\n\nexport function registerStaticRoutes(app: HonoApp, importMetaUrl: string): void {\n  // Root HTML\n  app.get('/', async (c: Context) => {\n    try {\n      const html = await readFileContent('/frontend/index.html', importMetaUrl);\n      return c.html(html);\n    } catch (err) {\n      console.error('Error reading index.html:', err);\n      return c.text('Error loading page', 500);\n    }\n  });\n\n  // Serve combined CSS chunks as a single /styles.css\n  app.get('/styles.css', async (c: Context) => {\n    try {\n      let combinedCss = '';\n      let chunkNum = 1;\n      \n      // Load all chunks until one fails\n      while (true) {\n        try {\n          const chunkPath = '/frontend/styles/chat-app-' + chunkNum + '.css';\n          const cssContent = await readFileContent(chunkPath, importMetaUrl);\n          combinedCss += cssContent;\n          chunkNum++;\n        } catch {\n          // Try single file if chunks don't exist\n          if (chunkNum === 1) {\n            try {\n              const singlePath = '/frontend/styles/chat-app.css';\n              combinedCss = await readFileContent(singlePath, importMetaUrl);\n            } catch {\n              // No CSS file found\n            }\n          }\n          break;\n        }\n      }\n      \n      return textResponse(combinedCss, 'text/css');\n    } catch (error) {\n      console.error('Error loading combined styles.css:', error);\n      return c.text('/* Error loading combined styles CSS */', 500);\n    }\n  });\n\n  // Serve monaco utils\n  app.get('/src/monaco-utils.js', async (c: Context) => {\n    try {\n      const js = await readFileContent('/frontend/monaco-utils.js', importMetaUrl);\n      return textResponse(js, 'application/javascript');\n    } catch (err) {\n      console.error('Error reading monaco-utils.js:', err);\n      return c.text('Not found', 404);\n    }\n  });\n\n  // Serve app modules (modular JS files)\n  app.get('/src/app/:filename', async (c: Context) => {\n    const filename = c.req.param('filename');\n    try {\n      const js = await readFileContent('/frontend/app/' + filename, importMetaUrl);\n      return textResponse(js, 'application/javascript');\n    } catch (error) {\n      console.error('Error loading app module:', filename, error);\n      return c.text('Not found: ' + filename, 404);\n    }\n  });\n\n  // Serve frontend styles (CSS files)\n  app.get('/frontend/styles/:filename', async (c: Context) => {\n    const filename = c.req.param('filename');\n    try {\n      const css = await readFileContent('/frontend/styles/' + filename, importMetaUrl);\n      return textResponse(css, 'text/css');\n    } catch (error) {\n      console.error('Error loading style file:', filename, error);\n      return c.text('Not found: ' + filename, 404);\n    }\n  });\n\n  // Serve public assets (logos, icons)\n  app.get('/public/:filename', async (c: Context) => {\n    const filename = c.req.param('filename');\n    try {\n      const file = await readBinaryFile('/public/' + filename, importMetaUrl);\n      \n      // Determine content type\n      let contentType = 'application/octet-stream';\n      if (filename.endsWith('.png')) contentType = 'image/png';\n      else if (filename.endsWith('.jpg') || filename.endsWith('.jpeg')) contentType = 'image/jpeg';\n      else if (filename.endsWith('.svg')) contentType = 'image/svg+xml';\n      else if (filename.endsWith('.ico')) contentType = 'image/x-icon';\n      \n      return new Response(file as unknown as BodyInit, {\n        status: 200,\n        headers: {\n          'Content-Type': contentType,\n          'Cache-Control': 'public, max-age=86400'\n        }\n      });\n    } catch (error) {\n      return c.text('Not found', 404);\n    }\n  });\n}\n\n",[],[1380,1406,1408],"0e088da2-e2e9-11f0-9777-42dde27851f2","providers.ts","0e088e42-e2e9-11f0-9777-42dde27851f2",119,["D",1766815103902],"// Provider routes - list available chat providers\nimport type { Context } from \"https://deno.land/x/hono@v3.11.7/mod.ts\";\nimport { listConfiguredProviders, getDefaultProvider, getProviderInfo, getProvider } from \"../providers/index.ts\";\nimport { \n  ALL_MODEL_CONFIGS, \n  getModelConfig, \n  getDefaultParameters,\n  getModelConfigsByProvider,\n  getCustomBaseParameters \n} from \"../providers/model-configs.ts\";\nimport { CustomProvider } from \"../providers/custom.ts\";\nimport { OpenAIProvider } from \"../providers/openai.ts\";\n\ntype HonoApp = { \n  get: (path: string, handler: (c: Context) => Response | Promise) => void;\n  post: (path: string, handler: (c: Context) => Response | Promise) => void;\n};\n\nexport function registerProviderRoutes(app: HonoApp): void {\n  // List available providers with their configuration status\n  app.get('/api/providers', (c: Context) => {\n    return c.json({\n      providers: listConfiguredProviders(),\n      all: getProviderInfo(),\n      default: getDefaultProvider().name,\n    });\n  });\n  \n  // Get all model configurations with their parameters\n  app.get('/api/models/configs', (c: Context) => {\n    return c.json({\n      models: ALL_MODEL_CONFIGS\n    });\n  });\n  \n  // Get models for a specific provider\n  app.get('/api/models/configs/provider/:provider', (c: Context) => {\n    const provider = c.req.param('provider');\n    const models = getModelConfigsByProvider(provider);\n    \n    return c.json({\n      provider,\n      models\n    });\n  });\n  \n  // Get config for a specific model\n  app.get('/api/models/configs/:modelId', (c: Context) => {\n    const modelId = c.req.param('modelId');\n    const config = getModelConfig(modelId);\n    \n    if (!config) {\n      return c.json({ error: 'Model not found' }, 404);\n    }\n    \n    return c.json({\n      config,\n      defaults: getDefaultParameters(modelId)\n    });\n  });\n  \n  // Get base parameters for custom provider\n  app.get('/api/providers/custom/parameters', (c: Context) => {\n    return c.json({\n      parameters: getCustomBaseParameters()\n    });\n  });\n  \n  // Discover models from a custom OpenAI-compatible endpoint\n  app.post('/api/providers/discover-models', async (c: Context) => {\n    try {\n      const body = await c.req.json();\n      const { baseUrl, apiKey, provider } = body;\n      \n      if (!baseUrl) {\n        return c.json({ error: 'Base URL is required' }, 400);\n      }\n      \n      // Determine which provider to use for discovery\n      let models: Array<{ id: string; name: string; owned_by?: string }> = [];\n      \n      if (provider === 'openai') {\n        // Use OpenAI provider's listModels method\n        const openaiProvider = getProvider('openai') as OpenAIProvider | undefined;\n        if (openaiProvider && typeof openaiProvider.listModels === 'function') {\n          models = await openaiProvider.listModels(apiKey);\n        } else {\n          // Fallback to custom discovery\n          const customProvider = new CustomProvider({ baseUrl, apiKey });\n          models = await customProvider.listModels(baseUrl, apiKey);\n        }\n      } else {\n        // Use custom provider for OpenAI-compatible endpoints\n        const customProvider = new CustomProvider({ baseUrl, apiKey });\n        models = await customProvider.listModels(baseUrl, apiKey);\n      }\n      \n      return c.json({\n        success: true,\n        models,\n        count: models.length\n      });\n    } catch (error) {\n      console.error('[discover-models] Error:', error);\n      const message = error instanceof Error ? error.message : 'Unknown error';\n      return c.json({ \n        error: 'Failed to discover models', \n        details: message \n      }, 500);\n    }\n  });\n  \n  // Test provider connection\n  app.post('/api/providers/test-connection', async (c: Context) => {\n    try {\n      const body = await c.req.json();\n      const { baseUrl, apiKey, provider } = body;\n      \n      if (!baseUrl && provider !== 'groq' && provider !== 'openai' && provider !== 'anthropic') {\n        return c.json({ error: 'Base URL is required for custom providers' }, 400);\n      }\n      \n      // Try to list models as a connection test\n      const testUrl = (baseUrl || '').replace(/\\/$/, '');\n      const headers: Record = {};\n      \n      if (apiKey) {\n        if (provider === 'anthropic') {\n          headers['x-api-key'] = apiKey;\n          headers['anthropic-version'] = '2023-06-01';\n        } else {\n          headers['Authorization'] = 'Bearer ' + apiKey;\n        }\n      }\n      \n      // Different test endpoints based on provider\n      let testEndpoint = '/models';\n      if (provider === 'anthropic') {\n        // Anthropic doesn't have a models endpoint, so we'll just validate the key format\n        if (apiKey && apiKey.startsWith('sk-ant-')) {\n          return c.json({ \n            success: true, \n            message: 'API key format looks valid. Connection will be tested on first request.' \n          });\n        } else if (apiKey) {\n          return c.json({ \n            success: false, \n            error: 'Anthropic API keys should start with sk-ant-' \n          }, 400);\n        }\n        return c.json({ success: true, message: 'No API key provided, but connection can be tested on first request.' });\n      }\n      \n      const fullUrl = testUrl ? testUrl + testEndpoint : '';\n      \n      if (!fullUrl) {\n        return c.json({ error: 'Cannot test without a URL' }, 400);\n      }\n      \n      const response = await fetch(fullUrl, { headers });\n      \n      if (response.ok) {\n        const data = await response.json();\n        const modelCount = data.data?.length || (Array.isArray(data) ? data.length : 0);\n        return c.json({ \n          success: true, \n          message: 'Connection successful',\n          modelCount \n        });\n      } else {\n        const errorText = await response.text();\n        return c.json({ \n          success: false, \n          error: 'Connection failed: ' + response.status,\n          details: errorText.substring(0, 200)\n        }, response.status);\n      }\n    } catch (error) {\n      console.error('[test-connection] Error:', error);\n      const message = error instanceof Error ? error.message : 'Unknown error';\n      return c.json({ \n        success: false,\n        error: 'Connection test failed', \n        details: message \n      }, 500);\n    }\n  });\n}\n",[],[1380,1406,1416],"3d2c0410-ef19-11f0-a69f-42dde27851f2","jobs.ts","0e04994a-e2e9-11f0-b141-42dde27851f2",200,["D",1768155212782],"// Generic Jobs API with SSE updates\nimport type { Context } from \"https://deno.land/x/hono@v3.11.7/mod.ts\";\nimport { serverApiKey } from \"../config.ts\";\nimport { getProvider, getDefaultProvider } from \"../providers/index.ts\";\nimport type { ChatMessage, ChatCompletionOptions } from \"../providers/types.ts\";\nimport { validateParameters, transformParametersForAPI } from \"../providers/model-configs.ts\";\n\n// Job types\ntype JobStatus = 'pending' | 'running' | 'completed' | 'error' | 'cancelled';\ntype JobType = 'chat' | string; // Extensible for future job types\n\ninterface ChatJobInput {\n  messages: Array<{ role: string; content: string }>;\n  model?: string;\n  provider?: string;\n  temperature?: number;\n  maxTokens?: number;\n  topP?: number;\n  frequencyPenalty?: number;\n  presencePenalty?: number;\n  systemPrompt?: string;\n  reasoningEffort?: string;\n  webSearch?: boolean;\n  codeExecution?: boolean;\n  imageDetail?: string;\n  modelVersion?: string;\n  apiKey?: string;  // Add API key to job input\n  baseUrl?: string; // Add base URL for custom providers\n  stream?: boolean;  // Whether to use streaming (default: true)\n}\n\ninterface Job {\n  id: string;\n  type: JobType;\n  status: JobStatus;\n  createdAt: number;\n  updatedAt: number;\n  input: ChatJobInput | Record;\n  result: unknown;\n  error: string | null;\n  progress: number | null;\n  data: Record;\n  subscribers: Set;\n  abortController?: AbortController;\n}\n\n// In-memory job store. Suitable for single-process dev/local usage.\nconst jobs = new Map();\nlet jobCounter = 0;\n\nfunction now(): number {\n  return Date.now();\n}\n\nfunction newJobId(): string {\n  jobCounter += 1;\n  return `${now()}-${jobCounter}`;\n}\n\nfunction createJob(type: JobType, input: ChatJobInput | Record): Job {\n  const id = newJobId();\n  console.log(`[Jobs] Creating job ${id} of type: ${type}`);\n  const job: Job = {\n    id,\n    type,\n    status: \"pending\",\n    createdAt: now(),\n    updatedAt: now(),\n    input: input || {},\n    result: null,\n    error: null,\n    progress: null,\n    data: {},\n    subscribers: new Set(),\n    abortController: undefined,\n  };\n  jobs.set(id, job);\n  console.log(`[Jobs] Job ${id} created successfully`);\n  return job;\n}\n\nfunction getJob(id: string): Job | undefined {\n  return jobs.get(String(id));\n}\n\nfunction publish(job: Job, eventName: string, payload?: unknown): void {\n  const encoder = new TextEncoder();\n  const data = (payload === undefined) ? \"\" : JSON.stringify(payload);\n  const chunk = (eventName ? (`event: ${eventName}\\n`) : \"\") + `data: ${data}\\n\\n`;\n  for (const sub of job.subscribers) {\n    try {\n      sub.enqueue(encoder.encode(chunk));\n    } catch (_) {\n      /* ignore */\n    }\n  }\n}\n\nfunction completeJob(job: Job, result: unknown): void {\n  job.status = \"completed\";\n  job.updatedAt = now();\n  job.result = result || null;\n  publish(job, \"job\", { id: job.id, status: job.status, result: job.result });\n  // Best-effort close subscribers\n  for (const sub of job.subscribers) {\n    try {\n      sub.close();\n    } catch (_) {\n      /* ignore */\n    }\n  }\n  job.subscribers.clear();\n}\n\nfunction failJob(job: Job, message: string): void {\n  job.status = \"error\";\n  job.updatedAt = now();\n  job.error = String(message || \"error\");\n  publish(job, \"job\", { id: job.id, status: job.status, error: job.error });\n  for (const sub of job.subscribers) {\n    try {\n      sub.close();\n    } catch (_) {\n      /* ignore */\n    }\n  }\n  job.subscribers.clear();\n}\n\nfunction cancelJob(job: Job): void {\n  try {\n    job.abortController?.abort();\n  } catch (_) {\n    /* ignore */\n  }\n  job.status = \"cancelled\";\n  job.updatedAt = now();\n  publish(job, \"job\", { id: job.id, status: job.status });\n  for (const sub of job.subscribers) {\n    try {\n      sub.close();\n    } catch (_) {\n      /* ignore */\n    }\n  }\n  job.subscribers.clear();\n}\n\nasync function runChatJob(job: Job): Promise {\n  console.log(`[Jobs] Starting chat job ${job.id}`);\n  const input = job.input as ChatJobInput;\n  const {\n    messages,\n    model,\n    provider: providerName,\n    temperature,\n    maxTokens,\n    topP,\n    frequencyPenalty,\n    presencePenalty,\n    systemPrompt,\n    reasoningEffort,\n    webSearch,\n    codeExecution,\n    imageDetail,\n    modelVersion,\n    apiKey,  // Extract API key from input\n    baseUrl, // Extract base URL from input\n    stream: useStreaming = true,  // Default to streaming\n  } = input;\n\n  console.log(`[Jobs ${job.id}] Input - model: ${model}, provider: ${providerName}, messages: ${messages?.length || 0}`);\n\n  if (!messages || !Array.isArray(messages)) {\n    console.error(`[Jobs ${job.id}] ERROR: Messages array is required`);\n    failJob(job, \"Messages array is required\");\n    return;\n  }\n\n  // Get the requested provider or default\n  const provider = providerName ? getProvider(providerName) : getDefaultProvider();\n  if (!provider) {\n    console.error(`[Jobs ${job.id}] ERROR: Provider not found: ${providerName}`);\n    failJob(job, \"Provider not found: \" + providerName);\n    return;\n  }\n  \n  console.log(`[Jobs ${job.id}] Using provider: ${provider.name}`);\n  \n  // Skip isConfigured check if API key or baseUrl is provided (for custom providers)\n  if (!apiKey && !baseUrl && !provider.isConfigured()) {\n    console.error(`[Jobs ${job.id}] ERROR: Provider not configured: ${provider.name}`);\n    failJob(job, \"Provider not configured: \" + provider.name + \". Please provide an API key.\");\n    return;\n  }\n\n  // Validate and transform parameters for the specific model\n  let transformedParams: Record = {\n    reasoningEffort,\n    webSearch,\n    codeExecution,\n    imageDetail,\n  };\n  \n  // Skip validation for custom provider models (they may not be in the registry)\n  // Custom providers include 'custom', 'custom2', 'custom3', etc.\n  const isCustomProvider = (providerName && providerName.startsWith('custom')) || !!baseUrl;\n  \n  if (model && !isCustomProvider) {\n    const paramsToValidate: Record = {\n      temperature,\n      maxTokens,\n      topP,\n      frequencyPenalty,\n      presencePenalty,\n      reasoningEffort,\n      webSearch,\n      codeExecution,\n      imageDetail,\n    };\n    \n    // Remove undefined values for validation\n    Object.keys(paramsToValidate).forEach(key => {\n      if (paramsToValidate[key] === undefined) {\n        delete paramsToValidate[key];\n      }\n    });\n    \n    // Validate parameters\n    const validationErrors = validateParameters(model, paramsToValidate);\n    if (validationErrors.length > 0) {\n      console.error(`[Jobs ${job.id}] ERROR: Parameter validation failed:`, validationErrors);\n      failJob(job, \"Invalid parameters: \" + validationErrors.join(\", \"));\n      return;\n    }\n    \n    // Transform parameters (e.g., map 'medium' to 'default' for Qwen)\n    transformedParams = transformParametersForAPI(model, paramsToValidate);\n    console.log(`[Jobs ${job.id}] Transformed parameters:`, transformedParams);\n  } else if (model && isCustomProvider) {\n    console.log(`[Jobs ${job.id}] Skipping parameter validation for custom provider model: ${model}`);\n  }\n  \n  // Use transformed values\n  const options: ChatCompletionOptions = {\n    model,\n    temperature,\n    maxTokens,\n    topP,\n    frequencyPenalty,\n    presencePenalty,\n    systemPrompt,\n    reasoningEffort: transformedParams.reasoningEffort as 'low' | 'medium' | 'high' | undefined,\n    webSearch: transformedParams.webSearch as boolean | undefined,\n    codeExecution: transformedParams.codeExecution as boolean | undefined,\n    imageDetail: transformedParams.imageDetail as 'low' | 'auto' | 'high' | undefined,\n    stream: useStreaming,\n    apiKey,  // Pass API key to provider\n    baseUrl, // Pass base URL for custom providers\n  };\n\n  console.log(`[Jobs ${job.id}] Setting status to running, streaming: ${useStreaming}`);\n  job.status = \"running\";\n  job.updatedAt = now();\n  publish(job, \"job\", { id: job.id, status: job.status });\n  \n  // Helper to check if job was cancelled (TypeScript-safe)\n  const isCancelled = (): boolean => {\n    return job.status === 'cancelled';\n  };\n\n  const abortController = new AbortController();\n  job.abortController = abortController;\n\n  // Keep-alive ping for SSE connections\n  const keepAlive = setInterval(() => {\n    try {\n      publish(job, \"ping\", {});\n    } catch (_) {\n      /* ignore */\n    }\n  }, 15000);\n\n  try {\n    // Non-streaming mode: use complete() instead of stream()\n    if (!useStreaming) {\n      console.log(`[Jobs ${job.id}] Using non-streaming mode...`);\n      const response = await provider.complete(messages as ChatMessage[], options);\n      \n      console.log(`[Jobs ${job.id}] Non-streaming response received, content length: ${response.content?.length || 0}`);\n      \n      // Publish the complete response as a single chunk\n      publish(job, \"data\", {\n        content: response.content,\n        reasoning: undefined,\n        executedTools: undefined,\n        finishReason: \"stop\",\n      });\n      \n      completeJob(job, {\n        content: response.content,\n        reasoning: \"\",\n        tools: [],\n        usage: response.usage,\n      });\n      console.log(`[Jobs ${job.id}] Job completed successfully (non-streaming)`);\n      return;\n    }\n\n    // Streaming mode\n    let collapsedContent = \"\";\n    let collapsedReasoning = \"\";\n    const collectedTools: unknown[] = [];\n    let chunkCount = 0;\n\n    console.log(`[Jobs ${job.id}] Starting provider stream...`);\n    // Stream from provider\n    for await (const chunk of provider.stream(messages as ChatMessage[], options)) {\n      chunkCount++;\n      // Check if job was cancelled\n      if (isCancelled()) {\n        console.log(`[Jobs ${job.id}] Job cancelled, stopping stream`);\n        break;\n      }\n\n      if (chunk.done) {\n        console.log(`[Jobs ${job.id}] Stream completed (done=true), received ${chunkCount} chunks`);\n        break;\n      }\n\n      // Accumulate content\n      if (chunk.content) {\n        collapsedContent += chunk.content;\n      }\n      if (chunk.reasoning) {\n        collapsedReasoning += chunk.reasoning;\n      }\n      if (chunk.executedTools) {\n        collectedTools.push(chunk.executedTools);\n      }\n\n      // Publish chunk to subscribers\n      publish(job, \"data\", {\n        content: chunk.content,\n        reasoning: chunk.reasoning,\n        executedTools: chunk.executedTools,\n        finishReason: chunk.finishReason,\n      });\n    }\n\n    if (isCancelled()) {\n      console.log(`[Jobs ${job.id}] Job was cancelled`);\n      return;\n    }\n\n    console.log(`[Jobs ${job.id}] Completing job - content length: ${collapsedContent.length}, chunks: ${chunkCount}`);\n    completeJob(job, {\n      content: collapsedContent,\n      reasoning: collapsedReasoning,\n      tools: collectedTools,\n    });\n    console.log(`[Jobs ${job.id}] Job completed successfully`);\n  } catch (err) {\n    const currentStatus: JobStatus = job.status;\n    if (currentStatus === 'cancelled') {\n      console.log(`[Jobs ${job.id}] Job was cancelled (caught in error handler)`);\n      return;\n    }\n    console.error(`[Jobs ${job.id}] ERROR: ${(err as Error)?.message || String(err)}`);\n    console.error(`[Jobs ${job.id}] Error stack:`, (err as Error)?.stack);\n    failJob(job, (err as Error)?.message || String(err));\n  } finally {\n    clearInterval(keepAlive);\n    console.log(`[Jobs ${job.id}] Job execution finished, final status: ${job.status}`);\n  }\n}\n\ntype HonoApp = { \n  get: (path: string, handler: (c: Context) => unknown) => void;\n  post: (path: string, handler: (c: Context) => unknown) => void;\n};\n\nexport function registerJobsRoutes(app: HonoApp): void {\n  // Create job\n  app.post('/api/jobs', async (c: Context) => {\n    console.log('[Jobs API] POST /api/jobs - Creating new job');\n    try {\n      let body: Record = {};\n      try {\n        body = await c.req.json();\n      } catch (err) {\n        console.error('[Jobs API] Error parsing request body:', err);\n        body = {};\n      }\n      const { type, input } = body;\n      console.log(`[Jobs API] Job type: ${type}, input keys:`, Object.keys(input as object || {}));\n      \n      if (!type || typeof type !== 'string') {\n        console.error('[Jobs API] ERROR: Missing job type');\n        return c.json({ error: 'Missing job type' }, 400);\n      }\n      \n      const job = createJob(type, input as ChatJobInput | Record);\n      console.log(`[Jobs API] Created job ${job.id}, queuing execution...`);\n      \n      // Fire and forget runner based on type\n      queueMicrotask(() => {\n        console.log(`[Jobs API] Microtask executing for job ${job.id}`);\n        if (type === 'chat') {\n          runChatJob(job);\n        } else {\n          console.error(`[Jobs API] Unknown job type: ${type}`);\n          failJob(job, `Unknown job type: ${type}`);\n        }\n      });\n      \n      console.log(`[Jobs API] Returning response for job ${job.id}`);\n      return c.json({ id: job.id, status: job.status, createdAt: job.createdAt });\n    } catch (err) {\n      console.error('[Jobs API] ERROR in POST /api/jobs:', (err as Error)?.message);\n      console.error('[Jobs API] Error stack:', (err as Error)?.stack);\n      return c.json({ error: (err as Error)?.message || String(err) }, 500);\n    }\n  });\n\n  // Get job\n  app.get('/api/jobs/:id', (c: Context) => {\n    const id = c.req.param('id');\n    const job = getJob(id);\n    if (!job) {\n      return c.json({ error: 'Not found' }, 404);\n    }\n    return c.json({\n      id: job.id,\n      type: job.type,\n      status: job.status,\n      createdAt: job.createdAt,\n      updatedAt: job.updatedAt,\n      result: job.result,\n      error: job.error,\n      progress: job.progress\n    });\n  });\n\n  // List jobs (optionally filter by status)\n  app.get('/api/jobs', (c: Context) => {\n    const status = c.req.query('status');\n    const out: Array> = [];\n    for (const job of jobs.values()) {\n      if (status && job.status !== status) continue;\n      out.push({\n        id: job.id,\n        type: job.type,\n        status: job.status,\n        createdAt: job.createdAt,\n        updatedAt: job.updatedAt\n      });\n    }\n    return c.json({ jobs: out });\n  });\n\n  // Cancel job\n  app.post('/api/jobs/:id/cancel', (c: Context) => {\n    const id = c.req.param('id');\n    const job = getJob(id);\n    if (!job) {\n      return c.json({ error: 'Not found' }, 404);\n    }\n    if (job.status === 'completed' || job.status === 'error' || job.status === 'cancelled') {\n      return c.json({ id: job.id, status: job.status });\n    }\n    cancelJob(job);\n    return c.json({ id: job.id, status: job.status });\n  });\n\n  // Stream job updates via SSE\n  app.get('/api/jobs/:id/stream', (c: Context) => {\n    const id = c.req.param('id');\n    const job = getJob(id);\n    if (!job) {\n      return c.json({ error: 'Not found' }, 404);\n    }\n    \n    const stream = new ReadableStream({\n      start: (controller: ReadableStreamDefaultController) => {\n        // Track controller for cancellation\n        try {\n          (stream as unknown as { _controller: ReadableStreamDefaultController })._controller = controller;\n        } catch (_) {\n          /* ignore */\n        }\n        job.subscribers.add(controller);\n        \n        // Send initial state (include error if job already failed)\n        try {\n          const initialState: Record = {\n            id: job.id,\n            status: job.status,\n            createdAt: job.createdAt,\n            updatedAt: job.updatedAt\n          };\n          if (job.error) {\n            initialState.error = job.error;\n          }\n          publish(job, 'job', initialState);\n        } catch (_) {\n          /* ignore */\n        }\n      },\n      cancel: () => {\n        try {\n          const ctrl = (stream as unknown as { _controller?: ReadableStreamDefaultController })._controller;\n          if (ctrl) job.subscribers.delete(ctrl);\n        } catch (_) {\n          /* ignore */\n        }\n      }\n    });\n    \n    return new Response(stream, {\n      headers: {\n        'Content-Type': 'text/event-stream',\n        'Cache-Control': 'no-cache, no-transform',\n        'Connection': 'keep-alive',\n      },\n    });\n  });\n}\n\n",[],[1380,1406,1424],"0e001276-e2e9-11f0-b941-42dde27851f2","chat.ts","0e001320-e2e9-11f0-b941-42dde27851f2",117,["D",1766815103857],"// Chat API routes\nimport type { Context } from \"https://deno.land/x/hono@v3.11.7/mod.ts\";\nimport { getProvider, getDefaultProvider } from \"../providers/index.ts\";\nimport type { ChatMessage, ChatCompletionOptions } from \"../providers/types.ts\";\n\ntype HonoApp = { \n  get: (path: string, handler: (c: Context) => Promise | Response) => void;\n  post: (path: string, handler: (c: Context) => Promise | Response) => void;\n};\n\nexport function registerChatRoutes(app: HonoApp): void {\n  // Chat completion endpoint (streaming by default)\n  app.post('/api/chat', async (c: Context) => {\n    try {\n      const body = await c.req.json();\n      const { \n        messages, \n        model, \n        provider: providerName, \n        stream = true, \n        temperature, \n        maxTokens,\n        topP,\n        frequencyPenalty,\n        presencePenalty,\n        systemPrompt,\n        reasoningEffort,\n        webSearch,\n        codeExecution,\n        imageDetail,\n        modelVersion,\n        apiKey,  // Accept API key from frontend\n        baseUrl  // Accept base URL for custom providers\n      } = body;\n      \n      if (!messages || !Array.isArray(messages)) {\n        return c.json({ error: \"Messages array is required\" }, 400);\n      }\n\n      // Get the requested provider or default\n      const provider = providerName ? getProvider(providerName) : getDefaultProvider();\n      if (!provider) {\n        return c.json({ error: \"Provider not found: \" + providerName }, 400);\n      }\n      \n      // Skip isConfigured check if API key is provided in request\n      if (!apiKey && !provider.isConfigured()) {\n        return c.json({ error: \"Provider not configured: \" + provider.name + \". Please provide an API key.\" }, 500);\n      }\n\n      const options: ChatCompletionOptions = {\n        model,\n        temperature,\n        maxTokens,\n        topP,\n        frequencyPenalty,\n        presencePenalty,\n        systemPrompt,\n        reasoningEffort,\n        webSearch,\n        codeExecution,\n        imageDetail,\n        modelVersion,\n        stream,\n        apiKey,  // Pass API key to provider\n        baseUrl, // Pass base URL for custom providers\n        provider: providerName,\n      };\n\n      // Streaming response\n      if (stream) {\n        const encoder = new TextEncoder();\n        \n        const readableStream = new ReadableStream({\n          async start(controller) {\n            try {\n              for await (const chunk of provider.stream(messages as ChatMessage[], options)) {\n                if (chunk.done) {\n                  controller.enqueue(encoder.encode(\"data: [DONE]\\n\\n\"));\n                  break;\n                }\n                const data = JSON.stringify({ \n                  content: chunk.content, \n                  role: \"assistant\",\n                  raw: chunk.raw,\n                  reasoning: chunk.reasoning,\n                  executedTools: chunk.executedTools,\n                  finishReason: chunk.finishReason,\n                  message: chunk.message\n                });\n                controller.enqueue(encoder.encode(\"data: \" + data + \"\\n\\n\"));\n              }\n            } catch (error) {\n              const errorMsg = error instanceof Error ? error.message : \"Unknown error\";\n              controller.enqueue(encoder.encode(\"data: \" + JSON.stringify({ error: errorMsg }) + \"\\n\\n\"));\n            } finally {\n              controller.close();\n            }\n          },\n        });\n\n        return new Response(readableStream, {\n          headers: {\n            \"Content-Type\": \"text/event-stream\",\n            \"Cache-Control\": \"no-cache\",\n            \"Connection\": \"keep-alive\",\n          },\n        });\n      }\n\n      // Non-streaming response\n      const response = await provider.complete(messages as ChatMessage[], options);\n      \n      console.log(\"[Chat API response]:\", { provider: provider.name, model: response.model });\n      \n      return c.json({\n        content: response.content,\n        role: response.role,\n        model: response.model,\n        usage: response.usage,\n      });\n    } catch (error) {\n      console.error(\"Chat endpoint error:\", error);\n      const errorMsg = error instanceof Error ? error.message : \"Internal server error\";\n      return c.json({ error: errorMsg }, 500);\n    }\n  });\n\n  // Legacy non-streaming endpoint (kept for backwards compatibility)\n  app.post('/api/chat/complete', async (c: Context) => {\n    try {\n      const body = await c.req.json();\n      const { messages, model, provider: providerName, temperature, maxTokens } = body;\n      \n      if (!messages || !Array.isArray(messages)) {\n        return c.json({ error: \"Messages array is required\" }, 400);\n      }\n\n      const provider = providerName ? getProvider(providerName) : getDefaultProvider();\n      if (!provider) {\n        return c.json({ error: \"Provider not found: \" + providerName }, 400);\n      }\n      \n      if (!provider.isConfigured()) {\n        return c.json({ error: \"Provider not configured: \" + provider.name }, 500);\n      }\n\n      const response = await provider.complete(messages as ChatMessage[], {\n        model,\n        temperature,\n        maxTokens,\n      });\n      \n      return c.json({\n        content: response.content,\n        role: response.role,\n        model: response.model,\n        usage: response.usage,\n      });\n    } catch (error) {\n      console.error(\"Chat complete endpoint error:\", error);\n      const errorMsg = error instanceof Error ? error.message : \"Internal server error\";\n      return c.json({ error: errorMsg }, 500);\n    }\n  });\n}\n\n",[],[1380,1406,1432],"0a85d126-e2e9-11f0-a5e5-42dde27851f2",9,["D",1766815098015],[244,245,246,247,248],[1380,1406],"0dcbd132-e2e9-11f0-8fcb-42dde27851f2","types.ts","0dcbd1f0-e2e9-11f0-8fcb-42dde27851f2","0a6eb8a6-e2e9-11f0-b141-42dde27851f2",108,["D",1766815103504],"// Chat completion provider types\n\nexport interface ChatMessage {\n  role: \"user\" | \"assistant\" | \"system\";\n  content: string;\n}\n\nexport interface ChatCompletionOptions {\n  model?: string;\n  temperature?: number;\n  maxTokens?: number;\n  topP?: number;\n  frequencyPenalty?: number;\n  presencePenalty?: number;\n  stream?: boolean;\n  systemPrompt?: string;\n  // Reasoning/thinking options (supported by Groq, OpenAI o1/o3, Anthropic)\n  reasoningEffort?: 'low' | 'medium' | 'high';\n  // Groq-specific options\n  webSearch?: boolean;\n  codeExecution?: boolean;\n  imageDetail?: 'low' | 'auto' | 'high';\n  modelVersion?: 'latest' | 'stable' | string;\n  // OpenAI-specific options\n  responseFormat?: { type: string; [key: string]: unknown };\n  // API Key override - if provided, use this instead of default\n  apiKey?: string;\n  // Custom provider base URL override\n  baseUrl?: string;\n  // Provider identifier\n  provider?: string;\n}\n\nexport interface ChatCompletionResponse {\n  content: string;\n  role: \"assistant\";\n  model?: string;\n  usage?: {\n    promptTokens: number;\n    completionTokens: number;\n    totalTokens: number;\n  };\n}\n\nexport interface StreamChunk {\n  content: string;\n  done: boolean;\n  raw?: any; // Optional: full raw chunk data from provider\n  reasoning?: string; // Reasoning content from compound models\n  executedTools?: any; // Tool execution results\n  finishReason?: string; // Finish reason (stop, length, etc.)\n  message?: any; // Full message object if present in chunk\n}\n\nexport interface ChatProvider {\n  name: string;\n  defaultModel: string;\n  \n  // Non-streaming completion\n  complete(messages: ChatMessage[], options?: ChatCompletionOptions): Promise;\n  \n  // Streaming completion - returns an async iterable\n  stream(messages: ChatMessage[], options?: ChatCompletionOptions): AsyncIterable;\n  \n  // Check if provider is configured (has API key, etc.)\n  isConfigured(): boolean;\n}\n\n",[],[1380,1453,1445],"providers","0de6eb84-e2e9-11f0-b941-42dde27851f2","test-parameter-validation.ts","0de6ec42-e2e9-11f0-b941-42dde27851f2",112,["D",1766815103514],"// Test script for parameter validation and transformation\n// Run with: deno run backend/providers/test-parameter-validation.ts\n\nimport { \n  validateParameters, \n  transformParametersForAPI,\n  getModelConfig,\n  getDefaultParameters \n} from \"./model-configs.ts\";\n\nconsole.log(\"=== Parameter Validation & Transformation Tests ===\\n\");\n\n// Test 1: Qwen model with reasoning effort\nconsole.log(\"Test 1: Qwen3-32B reasoning effort mapping\");\nconst qwenModel = 'qwen/qwen3-32b';\nconst qwenParams = {\n  reasoningEffort: 'medium',  // UI value\n  temperature: 0.7,\n};\n\nconst qwenTransformed = transformParametersForAPI(qwenModel, qwenParams);\nconsole.log(\"Input:\", qwenParams);\nconsole.log(\"Transformed:\", qwenTransformed);\nconsole.log(\"✓ Expected: reasoningEffort should be 'default'\\n\");\n\n// Test 2: Validation with invalid parameter\nconsole.log(\"Test 2: Validation with invalid reasoning effort\");\nconst invalidParams = {\n  reasoningEffort: 'super-high',  // Invalid value\n  temperature: 0.7,\n};\n\nconst errors = validateParameters(qwenModel, invalidParams);\nconsole.log(\"Input:\", invalidParams);\nconsole.log(\"Validation errors:\", errors);\nconsole.log(\"✓ Expected: Error about invalid reasoningEffort value\\n\");\n\n// Test 3: Get model config\nconsole.log(\"Test 3: Get Qwen model config\");\nconst config = getModelConfig(qwenModel);\nif (config) {\n  console.log(\"Model:\", config.name);\n  console.log(\"Provider:\", config.provider);\n  console.log(\"Capabilities:\", config.capabilities);\n  const reasoningParam = config.parameters.find(p => p.key === 'reasoningEffort');\n  if (reasoningParam && reasoningParam.type === 'select') {\n    console.log(\"Reasoning options:\", reasoningParam.options);\n    console.log(\"API mapping:\", (reasoningParam as any).apiMapping);\n  }\n} else {\n  console.log(\"Model not found!\");\n}\nconsole.log();\n\n// Test 4: Default parameters\nconsole.log(\"Test 4: Get default parameters for Qwen\");\nconst defaults = getDefaultParameters(qwenModel);\nconsole.log(\"Defaults:\", defaults);\nconsole.log();\n\n// Test 5: Backwards compatibility\nconsole.log(\"Test 5: Backwards compatibility - old values mapped\");\nconst oldValues = ['low', 'medium', 'high'];\nfor (const oldValue of oldValues) {\n  const transformed = transformParametersForAPI(qwenModel, { \n    reasoningEffort: oldValue \n  });\n  console.log(`  '${oldValue}' -> '${transformed.reasoningEffort}'`);\n}\nconsole.log();\n\n// Test 6: Valid Qwen parameters\nconsole.log(\"Test 6: Validation with valid Qwen parameters\");\nconst validQwenParams = {\n  reasoningEffort: 'default',\n  temperature: 0.7,\n  maxTokens: 2048,\n  webSearch: true,\n};\n\nconst validErrors = validateParameters(qwenModel, validQwenParams);\nconsole.log(\"Input:\", validQwenParams);\nconsole.log(\"Validation errors:\", validErrors.length === 0 ? \"None (valid!)\" : validErrors);\nconsole.log();\n\n// Test 7: Parameter range validation\nconsole.log(\"Test 7: Number parameter range validation\");\nconst rangeTestParams = {\n  temperature: 3.0,  // Out of range (max 2.0)\n  maxTokens: -100,   // Out of range (min 1)\n};\n\nconst rangeErrors = validateParameters(qwenModel, rangeTestParams);\nconsole.log(\"Input:\", rangeTestParams);\nconsole.log(\"Validation errors:\", rangeErrors);\nconsole.log();\n\n// Test 8: Model that doesn't exist\nconsole.log(\"Test 8: Invalid model\");\nconst invalidModelErrors = validateParameters('fake/model', { temperature: 0.7 });\nconsole.log(\"Validation errors:\", invalidModelErrors);\nconsole.log();\n\nconsole.log(\"=== All Tests Complete ===\");\nconsole.log(\"\\n✅ Parameter validation and transformation system working correctly!\");\n\n",[],[1380,1453,1455],"0da55336-e2e9-11f0-b141-42dde27851f2","openai.ts","0da553cc-e2e9-11f0-b141-42dde27851f2",105,["D",1766815103250],"// OpenAI Chat Provider\nimport type { ChatProvider, ChatMessage, ChatCompletionOptions, ChatCompletionResponse, StreamChunk } from \"./types.ts\";\n\nexport class OpenAIProvider implements ChatProvider {\n  name = \"openai\";\n  defaultModel = \"gpt-4o\";\n  \n  private apiKey: string | undefined;\n  private baseUrl = \"https://api.openai.com/v1\";\n  \n  constructor() {\n    this.apiKey = Deno.env.get(\"OPENAI_API_KEY\");\n  }\n  \n  isConfigured(): boolean {\n    return !!this.apiKey;\n  }\n  \n  async complete(messages: ChatMessage[], options?: ChatCompletionOptions): Promise {\n    // Use API key from options if provided, otherwise fall back to environment variable\n    const apiKey = options?.apiKey || this.apiKey;\n    \n    if (!apiKey) {\n      throw new Error(\"OPENAI_API_KEY not configured. Please add your API key in the chat settings.\");\n    }\n    \n    const model = options?.model || this.defaultModel;\n    const temperature = options?.temperature ?? 0.7;\n    const maxTokens = options?.maxTokens ?? 2048;\n    const topP = options?.topP ?? 1;\n    const frequencyPenalty = options?.frequencyPenalty ?? 0;\n    const presencePenalty = options?.presencePenalty ?? 0;\n    \n    // Add system prompt to messages if provided\n    const finalMessages = options?.systemPrompt \n      ? [{ role: \"system\" as const, content: options.systemPrompt }, ...messages]\n      : messages;\n    \n    // Build request headers\n    const headers: Record = {\n      \"Authorization\": \"Bearer \" + apiKey,\n      \"Content-Type\": \"application/json\",\n    };\n    \n    // Build request body\n    const requestBody: Record = {\n      model,\n      messages: finalMessages,\n      temperature,\n      max_tokens: maxTokens,\n      top_p: topP,\n      frequency_penalty: frequencyPenalty,\n      presence_penalty: presencePenalty,\n      stream: false,\n    };\n    \n    // Add reasoning effort for o1/o3 models\n    if (options?.reasoningEffort && (model.startsWith('o1') || model.startsWith('o3'))) {\n      requestBody.reasoning_effort = options.reasoningEffort;\n    }\n    \n    // Add response format for structured output\n    if (options?.responseFormat) {\n      requestBody.response_format = options.responseFormat;\n    }\n    \n    const response = await fetch(this.baseUrl + \"/chat/completions\", {\n      method: \"POST\",\n      headers,\n      body: JSON.stringify(requestBody),\n    });\n    \n    if (!response.ok) {\n      const errorText = await response.text();\n      console.error(\"OpenAI API error:\", response.status, errorText);\n      let errorMsg = \"Failed to get response from OpenAI API\";\n      try {\n        const errorData = JSON.parse(errorText);\n        errorMsg = errorData.error?.message || errorData.message || errorMsg;\n        if (response.status === 401 || response.status === 403) {\n          errorMsg = \"OpenAI API key is invalid or missing. Please check your API key in Settings → Models.\";\n        }\n      } catch {\n        // If error text isn't JSON, use the status code\n        if (response.status === 401 || response.status === 403) {\n          errorMsg = \"OpenAI API key is invalid or missing. Please check your API key in Settings → Models.\";\n        } else {\n          errorMsg = `OpenAI API error (${response.status}): ${errorText.substring(0, 200)}`;\n        }\n      }\n      throw new Error(errorMsg);\n    }\n    \n    const data = await response.json();\n    \n    console.log(\"[OpenAI API complete response]:\", JSON.stringify(data, null, 2));\n    \n    if (!data.choices || !data.choices[0] || !data.choices[0].message) {\n      throw new Error(\"Invalid response from OpenAI API\");\n    }\n    \n    return {\n      content: data.choices[0].message.content,\n      role: \"assistant\",\n      model: data.model,\n      usage: data.usage ? {\n        promptTokens: data.usage.prompt_tokens,\n        completionTokens: data.usage.completion_tokens,\n        totalTokens: data.usage.total_tokens,\n      } : undefined,\n    };\n  }\n  \n  async *stream(messages: ChatMessage[], options?: ChatCompletionOptions): AsyncIterable {\n    // Use API key from options if provided, otherwise fall back to environment variable\n    const apiKey = options?.apiKey || this.apiKey;\n    \n    if (!apiKey) {\n      throw new Error(\"OPENAI_API_KEY not configured. Please add your API key in the chat settings.\");\n    }\n    \n    const model = options?.model || this.defaultModel;\n    const temperature = options?.temperature ?? 0.7;\n    const maxTokens = options?.maxTokens ?? 2048;\n    const topP = options?.topP ?? 1;\n    const frequencyPenalty = options?.frequencyPenalty ?? 0;\n    const presencePenalty = options?.presencePenalty ?? 0;\n    \n    // Add system prompt to messages if provided\n    const finalMessages = options?.systemPrompt \n      ? [{ role: \"system\" as const, content: options.systemPrompt }, ...messages]\n      : messages;\n    \n    // Build request headers\n    const headers: Record = {\n      \"Authorization\": \"Bearer \" + apiKey,\n      \"Content-Type\": \"application/json\",\n    };\n    \n    // Build request body\n    const requestBody: Record = {\n      model,\n      messages: finalMessages,\n      temperature,\n      max_tokens: maxTokens,\n      top_p: topP,\n      frequency_penalty: frequencyPenalty,\n      presence_penalty: presencePenalty,\n      stream: true,\n    };\n    \n    // Add reasoning effort for o1/o3 models\n    if (options?.reasoningEffort && (model.startsWith('o1') || model.startsWith('o3'))) {\n      requestBody.reasoning_effort = options.reasoningEffort;\n    }\n    \n    console.log(\"[OpenAI stream] Request body:\", JSON.stringify(requestBody, null, 2));\n    \n    const response = await fetch(this.baseUrl + \"/chat/completions\", {\n      method: \"POST\",\n      headers,\n      body: JSON.stringify(requestBody),\n    });\n    \n    if (!response.ok) {\n      const errorText = await response.text();\n      console.error(\"[OpenAI stream] API error:\", response.status, errorText);\n      let errorMsg = \"Failed to start stream from OpenAI API\";\n      try {\n        const errorData = JSON.parse(errorText);\n        errorMsg = errorData.error?.message || errorData.message || errorMsg;\n        if (response.status === 401 || response.status === 403) {\n          errorMsg = \"OpenAI API key is invalid or missing. Please check your API key in Settings → Models.\";\n        }\n      } catch {\n        // If error text isn't JSON, use the status code\n        if (response.status === 401 || response.status === 403) {\n          errorMsg = \"OpenAI API key is invalid or missing. Please check your API key in Settings → Models.\";\n        } else {\n          errorMsg = `OpenAI API error (${response.status}): ${errorText.substring(0, 200)}`;\n        }\n      }\n      throw new Error(errorMsg);\n    }\n    \n    const reader = response.body?.getReader();\n    if (!reader) {\n      throw new Error(\"No response body for streaming\");\n    }\n    \n    const decoder = new TextDecoder();\n    let buffer = \"\";\n    let lineCount = 0;\n    \n    try {\n      while (true) {\n        const { done, value } = await reader.read();\n        \n        if (done) {\n          console.log(\"[OpenAI stream] Reader done, remaining buffer:\", buffer);\n          yield { content: \"\", done: true };\n          break;\n        }\n        \n        const chunk = decoder.decode(value, { stream: true });\n        buffer += chunk;\n        const lines = buffer.split(\"\\n\");\n        buffer = lines.pop() || \"\";\n        \n        for (const line of lines) {\n          const trimmed = line.trim();\n          if (!trimmed) continue;\n          \n          lineCount++;\n          if (lineCount <= 5) {\n            console.log(\"[OpenAI stream] Line \" + lineCount + \":\", trimmed.substring(0, 200));\n          }\n          \n          if (!trimmed.startsWith(\"data: \")) continue;\n          \n          const data = trimmed.slice(6);\n          if (data === \"[DONE]\") {\n            yield { content: \"\", done: true };\n            return;\n          }\n          \n          try {\n            const parsed = JSON.parse(data);\n            \n            if (parsed.error) {\n              const errorMsg = parsed.error?.message || JSON.stringify(parsed.error) || \"Unknown streaming error\";\n              console.error(\"[OpenAI stream] API error:\", errorMsg);\n              throw new Error(\"OpenAI API error: \" + errorMsg);\n            }\n            \n            const choice = parsed.choices?.[0];\n            const delta = choice?.delta || {};\n            \n            if (delta.content || choice?.finish_reason) {\n              yield { \n                content: delta.content || \"\", \n                done: false, \n                raw: parsed,\n                finishReason: choice?.finish_reason,\n              };\n            }\n          } catch (e) {\n            if (e instanceof Error && e.message.startsWith(\"OpenAI API error:\")) {\n              throw e;\n            }\n            console.error(\"[OpenAI stream] JSON parse error:\", e, \"data:\", data.substring(0, 100));\n          }\n        }\n      }\n    } finally {\n      console.log(\"[OpenAI stream] Total lines processed:\", lineCount);\n      reader.releaseLock();\n    }\n  }\n  \n  // List available models from the API\n  async listModels(apiKey?: string): Promise> {\n    const key = apiKey || this.apiKey;\n    if (!key) {\n      throw new Error(\"API key required to list models\");\n    }\n    \n    const response = await fetch(this.baseUrl + \"/models\", {\n      headers: {\n        \"Authorization\": \"Bearer \" + key,\n      },\n    });\n    \n    if (!response.ok) {\n      throw new Error(\"Failed to list models: \" + response.status);\n    }\n    \n    const data = await response.json();\n    \n    // Filter to chat models and sort\n    const chatModels = (data.data || [])\n      .filter((m: { id: string }) => \n        m.id.includes('gpt') || \n        m.id.includes('o1') || \n        m.id.includes('o3') ||\n        m.id.includes('chatgpt')\n      )\n      .map((m: { id: string }) => ({\n        id: m.id,\n        name: m.id,\n      }))\n      .sort((a: { id: string }, b: { id: string }) => a.id.localeCompare(b.id));\n    \n    return chatModels;\n  }\n}\n\n",[],[1380,1453,1463],"0da070e6-e2e9-11f0-b941-42dde27851f2","model-configs.ts","0da071a4-e2e9-11f0-b941-42dde27851f2",104,["D",1766815103229],"// Model Configuration Types System\n// Defines configurable parameters for each model/provider\n\n// =============================================================================\n// Parameter Type Definitions\n// =============================================================================\n\nexport type ParameterType = 'number' | 'string' | 'boolean' | 'select' | 'textarea';\n\nexport interface BaseParameter {\n  key: string;           // Internal key name (e.g., 'temperature')\n  label: string;         // Human-readable label\n  description?: string;  // Help text\n  type: ParameterType;\n  required?: boolean;\n  default?: unknown;\n}\n\nexport interface NumberParameter extends BaseParameter {\n  type: 'number';\n  min?: number;\n  max?: number;\n  step?: number;\n  default?: number;\n}\n\nexport interface StringParameter extends BaseParameter {\n  type: 'string';\n  maxLength?: number;\n  placeholder?: string;\n  default?: string;\n}\n\nexport interface TextareaParameter extends BaseParameter {\n  type: 'textarea';\n  maxLength?: number;\n  placeholder?: string;\n  rows?: number;\n  default?: string;\n}\n\nexport interface BooleanParameter extends BaseParameter {\n  type: 'boolean';\n  default?: boolean;\n}\n\nexport interface SelectParameter extends BaseParameter {\n  type: 'select';\n  options: Array<{ value: string; label: string }>;\n  default?: string;\n  apiMapping?: Record; // Maps UI value to API value (e.g., { low: 'none', medium: 'default' })\n}\n\nexport type ModelParameter = \n  | NumberParameter \n  | StringParameter \n  | TextareaParameter \n  | BooleanParameter \n  | SelectParameter;\n\n// =============================================================================\n// Model Configuration\n// =============================================================================\n\nexport interface ModelConfig {\n  id: string;                 // Model ID (e.g., 'llama-3.3-70b-versatile')\n  name: string;               // Display name\n  provider: string;           // Provider name (e.g., 'groq', 'openai')\n  description?: string;\n  parameters: ModelParameter[];\n  capabilities?: {\n    web?: boolean;\n    thinking?: boolean;\n    image?: boolean;\n    streaming?: boolean;\n    tools?: boolean;\n  };\n  // Optional: Transform parameters before sending to API\n  // This allows us to map UI values to provider-specific API values\n  transformParameters?: (params: Record) => Record;\n}\n\n// =============================================================================\n// Chat Session Metadata\n// =============================================================================\n\nexport interface ChatSessionMetadata {\n  systemPrompt?: string;\n  defaultModel?: string;\n  parameters?: Record;  // Model-specific parameters\n  createdAt?: string;\n  updatedAt?: string;\n}\n\n// =============================================================================\n// Message Metadata (stored per message for tracing)\n// =============================================================================\n\nexport interface MessageMetadata {\n  model?: string;              // Model used for this message\n  temperature?: number;\n  maxTokens?: number;\n  parameters?: Record;  // All parameters used\n  usage?: {\n    promptTokens?: number;\n    completionTokens?: number;\n    totalTokens?: number;\n  };\n  latencyMs?: number;          // Response time\n  reasoning?: string;          // For thinking models\n}\n\n// =============================================================================\n// Groq Model Configurations\n// =============================================================================\n\nconst GROQ_BASE_PARAMETERS: ModelParameter[] = [\n  {\n    key: 'temperature',\n    label: 'Temperature',\n    description: 'Controls randomness. Lower values are more focused, higher values are more creative.',\n    type: 'number',\n    min: 0,\n    max: 2,\n    step: 0.1,\n    default: 0.7\n  },\n  {\n    key: 'maxTokens',\n    label: 'Max Tokens',\n    description: 'Maximum number of tokens to generate.',\n    type: 'number',\n    min: 1,\n    max: 32768,\n    step: 1,\n    default: 2048\n  },\n  {\n    key: 'topP',\n    label: 'Top P',\n    description: 'Nucleus sampling threshold. Lower values are more focused.',\n    type: 'number',\n    min: 0,\n    max: 1,\n    step: 0.05,\n    default: 1\n  },\n  {\n    key: 'frequencyPenalty',\n    label: 'Frequency Penalty',\n    description: 'Reduces repetition of tokens. Higher values discourage repetition.',\n    type: 'number',\n    min: -2,\n    max: 2,\n    step: 0.1,\n    default: 0\n  },\n  {\n    key: 'presencePenalty',\n    label: 'Presence Penalty',\n    description: 'Encourages new topics. Higher values increase topic diversity.',\n    type: 'number',\n    min: -2,\n    max: 2,\n    step: 0.1,\n    default: 0\n  }\n];\n\nconst COMPOUND_PARAMETERS: ModelParameter[] = [\n  ...GROQ_BASE_PARAMETERS,\n  {\n    key: 'webSearch',\n    label: 'Web Search',\n    description: 'Enable web search for real-time information.',\n    type: 'boolean',\n    default: true\n  }\n];\n\nconst THINKING_PARAMETERS: ModelParameter[] = [\n  ...GROQ_BASE_PARAMETERS,\n  {\n    key: 'reasoningEffort',\n    label: 'Reasoning Effort',\n    description: 'How much effort to put into reasoning/thinking (low, medium, high).',\n    type: 'select',\n    options: [\n      { value: 'low', label: 'Low' },\n      { value: 'medium', label: 'Medium' },\n      { value: 'high', label: 'High' }\n    ],\n    default: 'medium'\n  },\n  {\n    key: 'webSearch',\n    label: 'Web Search',\n    description: 'Enable web search for real-time information.',\n    type: 'boolean',\n    default: false\n  },\n  {\n    key: 'codeExecution',\n    label: 'Code Execution',\n    description: 'Enable code execution capabilities.',\n    type: 'boolean',\n    default: false\n  }\n];\n\nconst VISION_PARAMETERS: ModelParameter[] = [\n  ...GROQ_BASE_PARAMETERS,\n  {\n    key: 'imageDetail',\n    label: 'Image Detail',\n    description: 'Level of detail for image processing.',\n    type: 'select',\n    options: [\n      { value: 'low', label: 'Low' },\n      { value: 'auto', label: 'Auto' },\n      { value: 'high', label: 'High' }\n    ],\n    default: 'auto'\n  }\n];\n\n// =============================================================================\n// Groq Model Registry\n// =============================================================================\n\nexport const GROQ_MODEL_CONFIGS: ModelConfig[] = [\n  // Compound Systems (Agentic AI)\n  {\n    id: 'groq/compound',\n    name: 'Compound',\n    provider: 'groq',\n    description: 'AI system with built-in tools including web search and code execution.',\n    parameters: COMPOUND_PARAMETERS,\n    capabilities: { web: true, streaming: true, tools: true }\n  },\n  {\n    id: 'groq/compound-mini',\n    name: 'Compound Mini',\n    provider: 'groq',\n    description: 'Faster, lighter version with web search and code execution.',\n    parameters: COMPOUND_PARAMETERS,\n    capabilities: { web: true, streaming: true, tools: true }\n  },\n  \n  // OpenAI GPT-OSS Models (Thinking + Tools)\n  {\n    id: 'openai/gpt-oss-120b',\n    name: 'GPT OSS 120B',\n    provider: 'groq',\n    description: 'OpenAI\\'s flagship 120B parameter model with browser search and reasoning.',\n    parameters: THINKING_PARAMETERS,\n    capabilities: { web: true, thinking: true, streaming: true, tools: true }\n  },\n  {\n    id: 'openai/gpt-oss-20b',\n    name: 'GPT OSS 20B',\n    provider: 'groq',\n    description: 'Fast 20B model with web search, thinking, and code execution.',\n    parameters: THINKING_PARAMETERS,\n    capabilities: { web: true, thinking: true, streaming: true, tools: true }\n  },\n  {\n    id: 'openai/gpt-oss-safeguard-20b',\n    name: 'Safety GPT OSS 20B',\n    provider: 'groq',\n    description: 'Safe responses with web search, thinking, and moderation.',\n    parameters: THINKING_PARAMETERS,\n    capabilities: { web: true, thinking: true, streaming: true, tools: true }\n  },\n  \n  // Llama 3.x Production Models\n  {\n    id: 'llama-3.1-8b-instant',\n    name: 'Llama 3.1 8B Instant',\n    provider: 'groq',\n    description: 'Ultra-fast 8B model for instant responses (560 t/s).',\n    parameters: GROQ_BASE_PARAMETERS,\n    capabilities: { streaming: true }\n  },\n  {\n    id: 'llama-3.3-70b-versatile',\n    name: 'Llama 3.3 70B Versatile',\n    provider: 'groq',\n    description: 'Versatile 70B model for a wide range of tasks (280 t/s).',\n    parameters: GROQ_BASE_PARAMETERS,\n    capabilities: { streaming: true }\n  },\n  \n  // Llama 4 Vision Models (Preview)\n  {\n    id: 'meta-llama/llama-4-maverick-17b-128e-instruct',\n    name: 'Llama 4 Maverick 17B 128E',\n    provider: 'groq',\n    description: 'Powerful image understanding and analysis (600 t/s).',\n    parameters: VISION_PARAMETERS,\n    capabilities: { image: true, streaming: true }\n  },\n  {\n    id: 'meta-llama/llama-4-scout-17b-16e-instruct',\n    name: 'Llama 4 Scout 17B 16E',\n    provider: 'groq',\n    description: 'Fast responses with image support (750 t/s).',\n    parameters: VISION_PARAMETERS,\n    capabilities: { image: true, streaming: true }\n  },\n  \n  // Specialized Models\n  {\n    id: 'moonshotai/kimi-k2-instruct-0905',\n    name: 'Kimi K2 0905',\n    provider: 'groq',\n    description: 'Highly capable for writing and coding with 262K context.',\n    parameters: GROQ_BASE_PARAMETERS,\n    capabilities: { streaming: true }\n  },\n  {\n    id: 'qwen/qwen3-32b',\n    name: 'Qwen3-32B',\n    provider: 'groq',\n    description: 'Multilingual responses with thinking capabilities.',\n    parameters: [\n      ...GROQ_BASE_PARAMETERS,\n      {\n        key: 'reasoningEffort',\n        label: 'Reasoning Effort',\n        description: 'How much effort to put into reasoning/thinking.',\n        type: 'select',\n        options: [\n          { value: 'none', label: 'None' },\n          { value: 'default', label: 'Default' }\n        ],\n        default: 'default',\n        apiMapping: {\n          'none': 'none',\n          'default': 'default',\n          // Map old values for backwards compatibility\n          'low': 'none',\n          'medium': 'default',\n          'high': 'default'\n        }\n      } as SelectParameter,\n      {\n        key: 'webSearch',\n        label: 'Web Search',\n        description: 'Enable web search for real-time information.',\n        type: 'boolean',\n        default: false\n      },\n      {\n        key: 'codeExecution',\n        label: 'Code Execution',\n        description: 'Enable code execution capabilities.',\n        type: 'boolean',\n        default: false\n      }\n    ],\n    capabilities: { thinking: true, streaming: true }\n  },\n  \n  // Guard/Safety Models\n  {\n    id: 'meta-llama/llama-guard-4-12b',\n    name: 'Llama Guard 4 12B',\n    provider: 'groq',\n    description: 'Content moderation and safety checking (1200 t/s).',\n    parameters: GROQ_BASE_PARAMETERS,\n    capabilities: { streaming: true }\n  }\n];\n\n// =============================================================================\n// OpenAI Base Parameters\n// =============================================================================\n\nconst OPENAI_BASE_PARAMETERS: ModelParameter[] = [\n  {\n    key: 'temperature',\n    label: 'Temperature',\n    description: 'Controls randomness. Lower values are more focused, higher values are more creative.',\n    type: 'number',\n    min: 0,\n    max: 2,\n    step: 0.1,\n    default: 0.7\n  },\n  {\n    key: 'maxTokens',\n    label: 'Max Tokens',\n    description: 'Maximum number of tokens to generate.',\n    type: 'number',\n    min: 1,\n    max: 128000,\n    step: 1,\n    default: 4096\n  },\n  {\n    key: 'topP',\n    label: 'Top P',\n    description: 'Nucleus sampling threshold.',\n    type: 'number',\n    min: 0,\n    max: 1,\n    step: 0.05,\n    default: 1\n  },\n  {\n    key: 'frequencyPenalty',\n    label: 'Frequency Penalty',\n    description: 'Reduces repetition of tokens.',\n    type: 'number',\n    min: -2,\n    max: 2,\n    step: 0.1,\n    default: 0\n  },\n  {\n    key: 'presencePenalty',\n    label: 'Presence Penalty',\n    description: 'Encourages new topics.',\n    type: 'number',\n    min: -2,\n    max: 2,\n    step: 0.1,\n    default: 0\n  }\n];\n\nconst OPENAI_REASONING_PARAMETERS: ModelParameter[] = [\n  ...OPENAI_BASE_PARAMETERS,\n  {\n    key: 'reasoningEffort',\n    label: 'Reasoning Effort',\n    description: 'How much effort to put into reasoning (o1/o3 models only).',\n    type: 'select',\n    options: [\n      { value: 'low', label: 'Low' },\n      { value: 'medium', label: 'Medium' },\n      { value: 'high', label: 'High' }\n    ],\n    default: 'medium'\n  }\n];\n\n// =============================================================================\n// OpenAI Model Registry\n// =============================================================================\n\nexport const OPENAI_MODEL_CONFIGS: ModelConfig[] = [\n  // GPT-5.2 Series (Latest - Dec 2025)\n  {\n    id: 'gpt-5.2',\n    name: 'GPT-5.2',\n    provider: 'openai',\n    description: 'The best model for coding and agentic tasks across industries.',\n    parameters: OPENAI_BASE_PARAMETERS,\n    capabilities: { image: true, streaming: true, tools: true, thinking: true }\n  },\n  {\n    id: 'gpt-5.2-pro',\n    name: 'GPT-5.2 Pro',\n    provider: 'openai',\n    description: 'Version of GPT-5.2 that produces smarter and more precise responses.',\n    parameters: OPENAI_REASONING_PARAMETERS,\n    capabilities: { image: true, streaming: true, tools: true, thinking: true }\n  },\n  {\n    id: 'gpt-5.1',\n    name: 'GPT-5.1',\n    provider: 'openai',\n    description: 'The best model for coding and agentic tasks with configurable reasoning effort.',\n    parameters: OPENAI_REASONING_PARAMETERS,\n    capabilities: { image: true, streaming: true, tools: true, thinking: true }\n  },\n  {\n    id: 'gpt-5',\n    name: 'GPT-5',\n    provider: 'openai',\n    description: 'Flagship model for coding, reasoning, and agentic tasks across domains.',\n    parameters: OPENAI_BASE_PARAMETERS,\n    capabilities: { image: true, streaming: true, tools: true, thinking: true }\n  },\n  {\n    id: 'gpt-5-pro',\n    name: 'GPT-5 Pro',\n    provider: 'openai',\n    description: 'Most advanced reasoning model that uses more compute for smarter, more precise responses.',\n    parameters: OPENAI_REASONING_PARAMETERS,\n    capabilities: { image: true, streaming: true, tools: true, thinking: true }\n  },\n  {\n    id: 'gpt-5-mini',\n    name: 'GPT-5 Mini',\n    provider: 'openai',\n    description: 'Faster, cost-efficient version of GPT-5 for well-defined tasks.',\n    parameters: OPENAI_BASE_PARAMETERS,\n    capabilities: { image: true, streaming: true, tools: true }\n  },\n  {\n    id: 'gpt-5-nano',\n    name: 'GPT-5 Nano',\n    provider: 'openai',\n    description: 'Fastest, most cost-efficient version of GPT-5 for summarization and classification.',\n    parameters: OPENAI_BASE_PARAMETERS,\n    capabilities: { image: true, streaming: true, tools: true }\n  },\n  \n  // GPT-4.1 Series (1M Context)\n  {\n    id: 'gpt-4.1',\n    name: 'GPT-4.1',\n    provider: 'openai',\n    description: 'Smartest non-reasoning model - excels at instruction following and tool calling with 1M context.',\n    parameters: OPENAI_BASE_PARAMETERS,\n    capabilities: { image: true, streaming: true, tools: true }\n  },\n  \n  // o-series Reasoning Models (Latest)\n  {\n    id: 'o3-pro',\n    name: 'o3 Pro',\n    provider: 'openai',\n    description: 'Highest reasoning model with reinforcement learning - uses more compute for consistently better answers.',\n    parameters: OPENAI_REASONING_PARAMETERS,\n    capabilities: { thinking: true, streaming: true, image: true, tools: true }\n  },\n  {\n    id: 'o3-deep-research',\n    name: 'o3 Deep Research',\n    provider: 'openai',\n    description: 'Most advanced deep research model for complex multi-step research with internet search and synthesis.',\n    parameters: OPENAI_REASONING_PARAMETERS,\n    capabilities: { thinking: true, streaming: true, image: true, tools: true }\n  },\n  {\n    id: 'o4-mini-deep-research',\n    name: 'o4-mini Deep Research',\n    provider: 'openai',\n    description: 'Faster, affordable deep research model for complex multi-step research tasks with internet search.',\n    parameters: OPENAI_REASONING_PARAMETERS,\n    capabilities: { thinking: true, streaming: true, image: true, tools: true }\n  },\n  {\n    id: 'o3',\n    name: 'o3',\n    provider: 'openai',\n    description: 'Advanced reasoning model for complex multi-step tasks.',\n    parameters: OPENAI_REASONING_PARAMETERS,\n    capabilities: { thinking: true, streaming: true, image: true, tools: true }\n  },\n  {\n    id: 'o3-mini',\n    name: 'o3-mini',\n    provider: 'openai',\n    description: 'Fast, flexible reasoning for coding and problem-solving.',\n    parameters: OPENAI_REASONING_PARAMETERS,\n    capabilities: { thinking: true, streaming: true }\n  },\n  \n  // o1 Reasoning Models (Legacy)\n  {\n    id: 'o1',\n    name: 'o1',\n    provider: 'openai',\n    description: 'Original reasoning model for complex analysis.',\n    parameters: OPENAI_REASONING_PARAMETERS,\n    capabilities: { thinking: true, streaming: true, image: true }\n  },\n  {\n    id: 'o1-mini',\n    name: 'o1-mini',\n    provider: 'openai',\n    description: 'Efficient reasoning model for coding and math.',\n    parameters: OPENAI_REASONING_PARAMETERS,\n    capabilities: { thinking: true, streaming: true }\n  },\n  {\n    id: 'o1-pro',\n    name: 'o1-pro',\n    provider: 'openai',\n    description: 'Enhanced compute for hard problems.',\n    parameters: OPENAI_REASONING_PARAMETERS,\n    capabilities: { thinking: true, streaming: true, image: true }\n  },\n  \n  // GPT-4o Series (Legacy - still fast & cheap)\n  {\n    id: 'gpt-4o',\n    name: 'GPT-4o',\n    provider: 'openai',\n    description: 'High-intelligence model with vision, fast and affordable.',\n    parameters: OPENAI_BASE_PARAMETERS,\n    capabilities: { image: true, streaming: true, tools: true }\n  },\n  {\n    id: 'gpt-4o-mini',\n    name: 'GPT-4o Mini',\n    provider: 'openai',\n    description: 'Small, fast, and affordable. Great for most tasks.',\n    parameters: OPENAI_BASE_PARAMETERS,\n    capabilities: { image: true, streaming: true, tools: true }\n  }\n];\n\n// =============================================================================\n// Anthropic Base Parameters\n// =============================================================================\n\nconst ANTHROPIC_BASE_PARAMETERS: ModelParameter[] = [\n  {\n    key: 'temperature',\n    label: 'Temperature',\n    description: 'Controls randomness. Lower values are more focused.',\n    type: 'number',\n    min: 0,\n    max: 1,\n    step: 0.1,\n    default: 0.7\n  },\n  {\n    key: 'maxTokens',\n    label: 'Max Tokens',\n    description: 'Maximum number of tokens to generate.',\n    type: 'number',\n    min: 1,\n    max: 200000,\n    step: 1,\n    default: 4096\n  },\n  {\n    key: 'topP',\n    label: 'Top P',\n    description: 'Nucleus sampling threshold.',\n    type: 'number',\n    min: 0,\n    max: 1,\n    step: 0.05,\n    default: 1\n  }\n];\n\nconst ANTHROPIC_THINKING_PARAMETERS: ModelParameter[] = [\n  ...ANTHROPIC_BASE_PARAMETERS,\n  {\n    key: 'reasoningEffort',\n    label: 'Extended Thinking',\n    description: 'Enable extended thinking with budget tokens.',\n    type: 'select',\n    options: [\n      { value: 'low', label: 'Low (5K tokens)' },\n      { value: 'medium', label: 'Medium (10K tokens)' },\n      { value: 'high', label: 'High (20K tokens)' }\n    ],\n    default: 'medium'\n  }\n];\n\n// =============================================================================\n// Anthropic Model Registry\n// =============================================================================\n\nexport const ANTHROPIC_MODEL_CONFIGS: ModelConfig[] = [\n  // Claude 4.5 Series (Latest - 2025)\n  {\n    id: 'claude-opus-4-5-20251124',\n    name: 'Claude Opus 4.5',\n    provider: 'anthropic',\n    description: 'Most advanced model for complex tasks requiring extended autonomous operation and deep reasoning.',\n    parameters: ANTHROPIC_THINKING_PARAMETERS,\n    capabilities: { thinking: true, image: true, streaming: true, tools: true }\n  },\n  {\n    id: 'claude-sonnet-4-5-20250929',\n    name: 'Claude Sonnet 4.5',\n    provider: 'anthropic',\n    description: 'Optimized for real-world agents, coding, and computer use with enhanced capabilities.',\n    parameters: ANTHROPIC_THINKING_PARAMETERS,\n    capabilities: { thinking: true, image: true, streaming: true, tools: true }\n  },\n  {\n    id: 'claude-haiku-4-5-20251015',\n    name: 'Claude Haiku 4.5',\n    provider: 'anthropic',\n    description: 'Lightweight and fast model designed for real-time experiences with low latency.',\n    parameters: ANTHROPIC_BASE_PARAMETERS,\n    capabilities: { image: true, streaming: true, tools: true }\n  },\n  \n  // Claude 4 Series\n  {\n    id: 'claude-opus-4-1-20250805',\n    name: 'Claude Opus 4.1',\n    provider: 'anthropic',\n    description: 'Most capable and intelligent model, setting new standards in complex reasoning and advanced coding.',\n    parameters: ANTHROPIC_THINKING_PARAMETERS,\n    capabilities: { thinking: true, image: true, streaming: true, tools: true }\n  },\n  {\n    id: 'claude-opus-4-20250514',\n    name: 'Claude Opus 4',\n    provider: 'anthropic',\n    description: 'Highly capable model for complex tasks requiring deep reasoning.',\n    parameters: ANTHROPIC_THINKING_PARAMETERS,\n    capabilities: { thinking: true, image: true, streaming: true, tools: true }\n  },\n  {\n    id: 'claude-sonnet-4-20250514',\n    name: 'Claude Sonnet 4',\n    provider: 'anthropic',\n    description: 'Excellent balance of performance, speed, and cost with extended thinking.',\n    parameters: ANTHROPIC_THINKING_PARAMETERS,\n    capabilities: { thinking: true, image: true, streaming: true, tools: true }\n  },\n  \n  // Claude 3.7 Series\n  {\n    id: 'claude-3-7-sonnet-20250219',\n    name: 'Claude 3.7 Sonnet',\n    provider: 'anthropic',\n    description: 'Hybrid model with extended thinking capabilities.',\n    parameters: ANTHROPIC_THINKING_PARAMETERS,\n    capabilities: { thinking: true, image: true, streaming: true, tools: true }\n  },\n  \n  // Claude 3.5 Series\n  {\n    id: 'claude-3-5-sonnet-20241022',\n    name: 'Claude 3.5 Sonnet',\n    provider: 'anthropic',\n    description: 'High performance for complex reasoning and coding.',\n    parameters: ANTHROPIC_THINKING_PARAMETERS,\n    capabilities: { thinking: true, image: true, streaming: true, tools: true }\n  },\n  {\n    id: 'claude-3-5-haiku-20241022',\n    name: 'Claude 3.5 Haiku',\n    provider: 'anthropic',\n    description: 'Fast and cost-effective for simple tasks.',\n    parameters: ANTHROPIC_BASE_PARAMETERS,\n    capabilities: { image: true, streaming: true, tools: true }\n  },\n  \n  // Claude 3 Series (Legacy)\n  {\n    id: 'claude-3-opus-20240229',\n    name: 'Claude 3 Opus',\n    provider: 'anthropic',\n    description: 'Highly capable for complex analysis and coding.',\n    parameters: ANTHROPIC_BASE_PARAMETERS,\n    capabilities: { image: true, streaming: true, tools: true }\n  },\n  {\n    id: 'claude-3-sonnet-20240229',\n    name: 'Claude 3 Sonnet',\n    provider: 'anthropic',\n    description: 'Balanced performance and cost.',\n    parameters: ANTHROPIC_BASE_PARAMETERS,\n    capabilities: { image: true, streaming: true, tools: true }\n  },\n  {\n    id: 'claude-3-haiku-20240307',\n    name: 'Claude 3 Haiku',\n    provider: 'anthropic',\n    description: 'Fastest Claude 3 model.',\n    parameters: ANTHROPIC_BASE_PARAMETERS,\n    capabilities: { streaming: true, tools: true }\n  }\n];\n\n// =============================================================================\n// Custom Provider Parameters (OpenAI-compatible)\n// =============================================================================\n\nconst CUSTOM_BASE_PARAMETERS: ModelParameter[] = [\n  {\n    key: 'temperature',\n    label: 'Temperature',\n    description: 'Controls randomness.',\n    type: 'number',\n    min: 0,\n    max: 2,\n    step: 0.1,\n    default: 0.7\n  },\n  {\n    key: 'maxTokens',\n    label: 'Max Tokens',\n    description: 'Maximum number of tokens to generate.',\n    type: 'number',\n    min: 1,\n    max: 128000,\n    step: 1,\n    default: 2048\n  },\n  {\n    key: 'topP',\n    label: 'Top P',\n    description: 'Nucleus sampling threshold.',\n    type: 'number',\n    min: 0,\n    max: 1,\n    step: 0.05,\n    default: 1\n  },\n  {\n    key: 'frequencyPenalty',\n    label: 'Frequency Penalty',\n    description: 'Reduces repetition.',\n    type: 'number',\n    min: -2,\n    max: 2,\n    step: 0.1,\n    default: 0\n  },\n  {\n    key: 'presencePenalty',\n    label: 'Presence Penalty',\n    description: 'Encourages new topics.',\n    type: 'number',\n    min: -2,\n    max: 2,\n    step: 0.1,\n    default: 0\n  }\n];\n\n// Custom models start empty - populated via auto-discovery\nexport const CUSTOM_MODEL_CONFIGS: ModelConfig[] = [];\n\n// =============================================================================\n// Combined Model Registry\n// =============================================================================\n\nexport const ALL_MODEL_CONFIGS: ModelConfig[] = [\n  ...GROQ_MODEL_CONFIGS,\n  ...OPENAI_MODEL_CONFIGS,\n  ...ANTHROPIC_MODEL_CONFIGS,\n  ...CUSTOM_MODEL_CONFIGS,\n];\n\n// =============================================================================\n// Helper Functions\n// =============================================================================\n\nexport function getModelConfig(modelId: string): ModelConfig | undefined {\n  return ALL_MODEL_CONFIGS.find(m => m.id === modelId);\n}\n\nexport function getModelConfigsByProvider(provider: string): ModelConfig[] {\n  return ALL_MODEL_CONFIGS.filter(m => m.provider === provider);\n}\n\nexport function getCustomBaseParameters(): ModelParameter[] {\n  return CUSTOM_BASE_PARAMETERS;\n}\n\nexport function getDefaultParameters(modelId: string): Record {\n  const config = getModelConfig(modelId);\n  if (!config) return {};\n  \n  const defaults: Record = {};\n  for (const param of config.parameters) {\n    if (param.default !== undefined) {\n      defaults[param.key] = param.default;\n    }\n  }\n  return defaults;\n}\n\n// Transform parameters from UI values to API values\n// This handles things like mapping 'medium' -> 'default' for reasoning_effort\nexport function transformParametersForAPI(\n  modelId: string, \n  params: Record\n): Record {\n  const config = getModelConfig(modelId);\n  if (!config) return params;\n  \n  const transformed: Record = { ...params };\n  \n  // Apply per-parameter transformations\n  for (const param of config.parameters) {\n    const value = transformed[param.key];\n    if (value === undefined) continue;\n    \n    // Handle select parameters with API mappings\n    if (param.type === 'select' && (param as SelectParameter).apiMapping) {\n      const mapping = (param as SelectParameter).apiMapping!;\n      const stringValue = String(value);\n      if (stringValue in mapping) {\n        transformed[param.key] = mapping[stringValue];\n      }\n    }\n  }\n  \n  // Apply model-specific transformations\n  if (config.transformParameters) {\n    return config.transformParameters(transformed);\n  }\n  \n  return transformed;\n}\n\n// Validate parameters against model config\n// Returns array of validation errors, empty if valid\nexport function validateParameters(\n  modelId: string,\n  params: Record\n): string[] {\n  const config = getModelConfig(modelId);\n  if (!config) return [`Model ${modelId} not found`];\n  \n  const errors: string[] = [];\n  \n  for (const param of config.parameters) {\n    const value = params[param.key];\n    \n    // Check required parameters\n    if (param.required && (value === undefined || value === null)) {\n      errors.push(`Parameter ${param.key} is required`);\n      continue;\n    }\n    \n    if (value === undefined || value === null) continue;\n    \n    // Type-specific validation\n    switch (param.type) {\n      case 'number': {\n        const numParam = param as NumberParameter;\n        const numValue = Number(value);\n        if (isNaN(numValue)) {\n          errors.push(`Parameter ${param.key} must be a number`);\n        } else {\n          if (numParam.min !== undefined && numValue < numParam.min) {\n            errors.push(`Parameter ${param.key} must be >= ${numParam.min}`);\n          }\n          if (numParam.max !== undefined && numValue > numParam.max) {\n            errors.push(`Parameter ${param.key} must be <= ${numParam.max}`);\n          }\n        }\n        break;\n      }\n      case 'select': {\n        const selectParam = param as SelectParameter;\n        const strValue = String(value);\n        const validValues = selectParam.options.map(o => o.value);\n        \n        // Also allow mapped values as valid\n        const allValidValues = selectParam.apiMapping \n          ? [...validValues, ...Object.keys(selectParam.apiMapping)]\n          : validValues;\n        \n        if (!allValidValues.includes(strValue)) {\n          errors.push(`Parameter ${param.key} must be one of: ${validValues.join(', ')}`);\n        }\n        break;\n      }\n      case 'string':\n      case 'textarea': {\n        const strParam = param as StringParameter | TextareaParameter;\n        const strValue = String(value);\n        if (strParam.maxLength && strValue.length > strParam.maxLength) {\n          errors.push(`Parameter ${param.key} must be <= ${strParam.maxLength} characters`);\n        }\n        break;\n      }\n      case 'boolean': {\n        if (typeof value !== 'boolean') {\n          errors.push(`Parameter ${param.key} must be a boolean`);\n        }\n        break;\n      }\n    }\n  }\n  \n  return errors;\n}\n\n// Export for frontend use (JSON-serializable version)\nexport function getModelConfigsJSON(): string {\n  return JSON.stringify(GROQ_MODEL_CONFIGS);\n}\n\n\n",[],[1380,1453,1471],"3d29849c-ef19-11f0-8520-42dde27851f2","0dcf0fdc-e2e9-11f0-98a3-42dde27851f2",199,["D",1768155212768],"// Chat Providers Index\nexport type { ChatProvider, ChatMessage, ChatCompletionOptions, ChatCompletionResponse, StreamChunk } from \"./types.ts\";\nexport { GroqProvider } from \"./groq.ts\";\nexport { OpenAIProvider } from \"./openai.ts\";\nexport { AnthropicProvider } from \"./anthropic.ts\";\nexport { CustomProvider } from \"./custom.ts\";\n\nimport type { ChatProvider } from \"./types.ts\";\nimport { GroqProvider } from \"./groq.ts\";\nimport { OpenAIProvider } from \"./openai.ts\";\nimport { AnthropicProvider } from \"./anthropic.ts\";\nimport { CustomProvider } from \"./custom.ts\";\n\n// Provider registry\nconst providers: Map = new Map();\n\n// Register default providers\nproviders.set(\"groq\", new GroqProvider());\nproviders.set(\"openai\", new OpenAIProvider());\nproviders.set(\"anthropic\", new AnthropicProvider());\nproviders.set(\"custom\", new CustomProvider());\n\nexport function getProvider(name: string): ChatProvider | undefined {\n  // Check for exact match first\n  const provider = providers.get(name);\n  if (provider) return provider;\n  \n  // For custom providers (custom2, custom3, etc.), return the custom provider\n  // All custom providers use the same CustomProvider class with dynamic configuration\n  if (name && name.startsWith(\"custom\")) {\n    return providers.get(\"custom\");\n  }\n  \n  return undefined;\n}\n\nexport function getDefaultProvider(): ChatProvider {\n  // Return first configured provider, or groq as fallback\n  for (const provider of providers.values()) {\n    if (provider.isConfigured()) {\n      return provider;\n    }\n  }\n  return providers.get(\"groq\")!;\n}\n\nexport function registerProvider(name: string, provider: ChatProvider): void {\n  providers.set(name, provider);\n}\n\nexport function listProviders(): string[] {\n  return Array.from(providers.keys());\n}\n\nexport function listConfiguredProviders(): string[] {\n  return Array.from(providers.entries())\n    .filter(([_, provider]) => provider.isConfigured())\n    .map(([name, _]) => name);\n}\n\n// Get provider info (for API responses)\nexport function getProviderInfo(): Record {\n  const info: Record = {};\n  for (const [name, provider] of providers.entries()) {\n    info[name] = {\n      name: provider.name,\n      configured: provider.isConfigured(),\n    };\n  }\n  return info;\n}\n",[],[1380,1453,1382],"0daf7c94-e2e9-11f0-9a99-42dde27851f2","groq.ts","0daf7d34-e2e9-11f0-9a99-42dde27851f2",107,["D",1766815103330],"// Groq Chat Provider\nimport type { ChatProvider, ChatMessage, ChatCompletionOptions, ChatCompletionResponse, StreamChunk } from \"./types.ts\";\nimport { getModelConfig, transformParametersForAPI } from \"./model-configs.ts\";\n\n// Helper function to check if a model supports a specific parameter\nfunction modelSupportsParameter(modelId: string, parameterKey: string): boolean {\n  const config = getModelConfig(modelId);\n  if (!config) return false;\n  return config.parameters.some(p => p.key === parameterKey);\n}\n\n\nexport class GroqProvider implements ChatProvider {\n  name = \"groq\";\n  defaultModel = \"llama-3.3-70b-versatile\";\n  \n  private apiKey: string | undefined;\n  private baseUrl = \"https://api.groq.com/openai/v1\";\n  \n  constructor() {\n    this.apiKey = Deno.env.get(\"GROQ_API_KEY\");\n  }\n  \n  isConfigured(): boolean {\n    return !!this.apiKey;\n  }\n  \n  async complete(messages: ChatMessage[], options?: ChatCompletionOptions): Promise {\n    // Use API key from options if provided, otherwise fall back to environment variable\n    const apiKey = options?.apiKey || this.apiKey;\n    \n    if (!apiKey) {\n      throw new Error(\"GROQ_API_KEY not configured. Please add your API key in the chat settings.\");\n    }\n    \n    const model = options?.model || this.defaultModel;\n    const temperature = options?.temperature ?? 0.7;\n    const maxTokens = options?.maxTokens ?? 2048;\n    const topP = options?.topP ?? 1;\n    const frequencyPenalty = options?.frequencyPenalty ?? 0;\n    const presencePenalty = options?.presencePenalty ?? 0;\n    \n    // Add system prompt to messages if provided\n    const finalMessages = options?.systemPrompt \n      ? [{ role: \"system\" as const, content: options.systemPrompt }, ...messages]\n      : messages;\n    \n    // Build request headers\n    const headers: Record = {\n      \"Authorization\": \"Bearer \" + apiKey,\n      \"Content-Type\": \"application/json\",\n    };\n    \n    // Build request body\n    const requestBody: Record = {\n      model,\n      messages: finalMessages,\n      temperature,\n      max_tokens: maxTokens,\n      top_p: topP,\n      frequency_penalty: frequencyPenalty,\n      presence_penalty: presencePenalty,\n      stream: false,\n    };\n    \n    // Transform parameters for this specific model\n    const transformedParams = transformParametersForAPI(model, {\n      reasoningEffort: options?.reasoningEffort,\n      imageDetail: options?.imageDetail,\n      webSearch: options?.webSearch,\n      codeExecution: options?.codeExecution,\n    });\n    \n    // Add Groq-specific parameters only if the model supports them\n    if (transformedParams.reasoningEffort && modelSupportsParameter(model, 'reasoningEffort')) {\n      requestBody.reasoning_effort = transformedParams.reasoningEffort;\n    }\n    \n    // Add tool configuration only if the model supports web/code tools\n    const tools: string[] = [];\n    if (transformedParams.webSearch && modelSupportsParameter(model, 'webSearch')) {\n      tools.push(\"web_search\");\n    }\n    if (transformedParams.codeExecution && modelSupportsParameter(model, 'codeExecution')) {\n      tools.push(\"code_execution\");\n    }\n    if (tools.length > 0) {\n      requestBody.tools = tools.map(tool => ({ type: tool }));\n    }\n    \n    const response = await fetch(this.baseUrl + \"/chat/completions\", {\n      method: \"POST\",\n      headers,\n      body: JSON.stringify(requestBody),\n    });\n    \n    if (!response.ok) {\n      const errorText = await response.text();\n      console.error(\"Groq API error:\", response.status, errorText);\n      let errorMsg = \"Failed to get response from Groq API\";\n      try {\n        const errorData = JSON.parse(errorText);\n        errorMsg = errorData.error?.message || errorData.message || errorMsg;\n        if (response.status === 401 || response.status === 403) {\n          errorMsg = \"Groq API key is invalid or missing. Please check your API key in Settings → Models.\";\n        }\n      } catch {\n        // If error text isn't JSON, use the status code\n        if (response.status === 401 || response.status === 403) {\n          errorMsg = \"Groq API key is invalid or missing. Please check your API key in Settings → Models.\";\n        } else {\n          errorMsg = `Groq API error (${response.status}): ${errorText.substring(0, 200)}`;\n        }\n      }\n      throw new Error(errorMsg);\n    }\n    \n    const data = await response.json();\n    \n    console.log(\"[Groq API complete response]:\", JSON.stringify(data, null, 2));\n    \n    if (!data.choices || !data.choices[0] || !data.choices[0].message) {\n      throw new Error(\"Invalid response from Groq API\");\n    }\n    \n    return {\n      content: data.choices[0].message.content,\n      role: \"assistant\",\n      model: data.model,\n      usage: data.usage ? {\n        promptTokens: data.usage.prompt_tokens,\n        completionTokens: data.usage.completion_tokens,\n        totalTokens: data.usage.total_tokens,\n      } : undefined,\n    };\n  }\n  \n  async *stream(messages: ChatMessage[], options?: ChatCompletionOptions): AsyncIterable {\n    // Use API key from options if provided, otherwise fall back to environment variable\n    const apiKey = options?.apiKey || this.apiKey;\n    \n    if (!apiKey) {\n      throw new Error(\"GROQ_API_KEY not configured. Please add your API key in the chat settings.\");\n    }\n    \n    const model = options?.model || this.defaultModel;\n    const temperature = options?.temperature ?? 0.7;\n    const maxTokens = options?.maxTokens ?? 2048;\n    const topP = options?.topP ?? 1;\n    const frequencyPenalty = options?.frequencyPenalty ?? 0;\n    const presencePenalty = options?.presencePenalty ?? 0;\n    \n    // Add system prompt to messages if provided\n    const finalMessages = options?.systemPrompt \n      ? [{ role: \"system\" as const, content: options.systemPrompt }, ...messages]\n      : messages;\n    \n    // Build request headers\n    const headers: Record = {\n      \"Authorization\": \"Bearer \" + apiKey,\n      \"Content-Type\": \"application/json\",\n    };\n    \n    // Build request body\n    const requestBody: Record = {\n      model,\n      messages: finalMessages,\n      temperature,\n      max_tokens: maxTokens,\n      top_p: topP,\n      frequency_penalty: frequencyPenalty,\n      presence_penalty: presencePenalty,\n      stream: true,\n    };\n    \n    // Transform parameters for this specific model and check support individually\n    const transformedParams = transformParametersForAPI(model, {\n      reasoningEffort: options?.reasoningEffort,\n      imageDetail: options?.imageDetail,\n      webSearch: options?.webSearch,\n      codeExecution: options?.codeExecution,\n    });\n    \n    // Add Groq-specific parameters ONLY if the model supports them\n    // This prevents sending unsupported parameters that cause API errors\n    \n    // Reasoning effort (for thinking models like Qwen, GPT-OSS)\n    if (transformedParams.reasoningEffort && modelSupportsParameter(model, 'reasoningEffort')) {\n      requestBody.reasoning_effort = transformedParams.reasoningEffort;\n    }\n    \n    // Image detail (ONLY for vision models like Llama 4 Vision)\n    if (transformedParams.imageDetail && modelSupportsParameter(model, 'imageDetail')) {\n      requestBody.image_detail = transformedParams.imageDetail;\n    }\n    \n    // Tool configuration (web search and code execution for compound/thinking models)\n    const tools: string[] = [];\n    if (transformedParams.webSearch && modelSupportsParameter(model, 'webSearch')) {\n      tools.push(\"web_search\");\n    }\n    if (transformedParams.codeExecution && modelSupportsParameter(model, 'codeExecution')) {\n      tools.push(\"code_execution\");\n    }\n    if (tools.length > 0) {\n      requestBody.tools = tools.map(tool => ({ type: tool }));\n    }\n    \n    console.log(\"[Groq stream] Request body:\", JSON.stringify(requestBody, null, 2));\n    \n    const response = await fetch(this.baseUrl + \"/chat/completions\", {\n      method: \"POST\",\n      headers,\n      body: JSON.stringify(requestBody),\n    });\n    \n    if (!response.ok) {\n      const errorText = await response.text();\n      console.error(\"[Groq stream] API error:\", response.status, errorText);\n      let errorMsg = \"Failed to start stream from Groq API\";\n      try {\n        const errorData = JSON.parse(errorText);\n        errorMsg = errorData.error?.message || errorData.message || errorMsg;\n        if (response.status === 401 || response.status === 403) {\n          errorMsg = \"Groq API key is invalid or missing. Please check your API key in Settings → Models.\";\n        }\n      } catch {\n        // If error text isn't JSON, use the status code\n        if (response.status === 401 || response.status === 403) {\n          errorMsg = \"Groq API key is invalid or missing. Please check your API key in Settings → Models.\";\n        } else {\n          errorMsg = `Groq API error (${response.status}): ${errorText.substring(0, 200)}`;\n        }\n      }\n      throw new Error(errorMsg);\n    }\n    \n    const reader = response.body?.getReader();\n    if (!reader) {\n      throw new Error(\"No response body for streaming\");\n    }\n    \n    const decoder = new TextDecoder();\n    let buffer = \"\";\n    let lineCount = 0;\n    \n    try {\n      while (true) {\n        const { done, value } = await reader.read();\n        \n        if (done) {\n          console.log(\"[Groq stream] Reader done, remaining buffer:\", buffer);\n          yield { content: \"\", done: true };\n          break;\n        }\n        \n        const chunk = decoder.decode(value, { stream: true });\n        buffer += chunk;\n        const lines = buffer.split(\"\\n\");\n        buffer = lines.pop() || \"\";\n        \n        let currentEvent = \"\";\n        \n        for (const line of lines) {\n          const trimmed = line.trim();\n          if (!trimmed) continue;\n          \n          lineCount++;\n          // Log first few lines to debug\n          if (lineCount <= 5) {\n            console.log(\"[Groq stream] Line \" + lineCount + \":\", trimmed.substring(0, 200));\n          }\n          \n          // Track event type (SSE format: event: )\n          if (trimmed.startsWith(\"event: \")) {\n            currentEvent = trimmed.slice(7);\n            continue;\n          }\n          \n          if (!trimmed.startsWith(\"data: \")) continue;\n          \n          const data = trimmed.slice(6);\n          if (data === \"[DONE]\") {\n            yield { content: \"\", done: true };\n            return;\n          }\n          \n          try {\n            const parsed = JSON.parse(data);\n            \n            // Check for error event or error in data\n            if (currentEvent === \"error\" || parsed.error) {\n              const errorMsg = parsed.error?.message || JSON.stringify(parsed.error) || \"Unknown streaming error\";\n              console.error(\"[Groq stream] API error:\", errorMsg);\n              throw new Error(\"Groq API error: \" + errorMsg);\n            }\n            \n            const choice = parsed.choices?.[0];\n            const delta = choice?.delta || {};\n            \n            // Yield chunk if it has any content, reasoning, or tool data\n            const hasContent = delta.content;\n            const hasReasoning = delta.reasoning;\n            const hasExecutedTools = delta.executed_tools;\n            const hasFinishReason = choice?.finish_reason;\n            \n            if (hasContent || hasReasoning || hasExecutedTools || hasFinishReason) {\n              yield { \n                content: delta.content || \"\", \n                done: false, \n                raw: parsed,\n                // Include additional fields from delta\n                reasoning: delta.reasoning,\n                executedTools: delta.executed_tools,\n                finishReason: choice?.finish_reason,\n                // Include full message if present (some chunks might have complete message)\n                message: choice?.message\n              };\n            }\n            \n            // Reset event after processing data\n            currentEvent = \"\";\n          } catch (e) {\n            // Re-throw if it's our error\n            if (e instanceof Error && e.message.startsWith(\"Groq API error:\")) {\n              throw e;\n            }\n            console.error(\"[Groq stream] JSON parse error:\", e, \"data:\", data.substring(0, 100));\n          }\n        }\n      }\n    } finally {\n      console.log(\"[Groq stream] Total lines processed:\", lineCount);\n      reader.releaseLock();\n    }\n  }\n}\n\n",[],[1380,1453,1486],"0dd21150-e2e9-11f0-bb45-42dde27851f2","custom.ts","0dd211f0-e2e9-11f0-bb45-42dde27851f2",110,["D",1766815103546],"// Custom OpenAI-Compatible Chat Provider\n// Supports any OpenAI-compatible API endpoint with model auto-discovery\nimport type { ChatProvider, ChatMessage, ChatCompletionOptions, ChatCompletionResponse, StreamChunk } from \"./types.ts\";\n\nexport interface CustomProviderConfig {\n  baseUrl: string;\n  apiKey?: string;\n  name?: string;\n}\n\nexport class CustomProvider implements ChatProvider {\n  name = \"custom\";\n  defaultModel = \"\";\n  \n  private apiKey: string | undefined;\n  private baseUrl = \"\";\n  \n  constructor(config?: CustomProviderConfig) {\n    if (config) {\n      this.baseUrl = config.baseUrl;\n      this.apiKey = config.apiKey;\n      if (config.name) {\n        this.name = config.name;\n      }\n    }\n  }\n  \n  isConfigured(): boolean {\n    return !!this.baseUrl;\n  }\n  \n  // Set configuration dynamically\n  setConfig(config: CustomProviderConfig): void {\n    this.baseUrl = config.baseUrl;\n    this.apiKey = config.apiKey;\n    if (config.name) {\n      this.name = config.name;\n    }\n  }\n  \n  async complete(messages: ChatMessage[], options?: ChatCompletionOptions): Promise {\n    // Use baseUrl from options if provided\n    const baseUrl = options?.baseUrl || this.baseUrl;\n    const apiKey = options?.apiKey || this.apiKey;\n    \n    if (!baseUrl) {\n      throw new Error(\"Custom provider base URL not configured. Please add a base URL in the chat settings.\");\n    }\n    \n    const model = options?.model || this.defaultModel;\n    if (!model) {\n      throw new Error(\"No model specified for custom provider.\");\n    }\n    \n    const temperature = options?.temperature ?? 0.7;\n    const maxTokens = options?.maxTokens ?? 2048;\n    const topP = options?.topP ?? 1;\n    const frequencyPenalty = options?.frequencyPenalty ?? 0;\n    const presencePenalty = options?.presencePenalty ?? 0;\n    \n    // Add system prompt to messages if provided\n    const finalMessages = options?.systemPrompt \n      ? [{ role: \"system\" as const, content: options.systemPrompt }, ...messages]\n      : messages;\n    \n    // Build request headers\n    const headers: Record = {\n      \"Content-Type\": \"application/json\",\n    };\n    \n    if (apiKey) {\n      headers[\"Authorization\"] = \"Bearer \" + apiKey;\n    }\n    \n    // Build request body (OpenAI-compatible format)\n    const requestBody: Record = {\n      model,\n      messages: finalMessages,\n      temperature,\n      max_tokens: maxTokens,\n      top_p: topP,\n      frequency_penalty: frequencyPenalty,\n      presence_penalty: presencePenalty,\n      stream: false,\n    };\n    \n    // Ensure baseUrl doesn't have trailing slash\n    const normalizedBaseUrl = baseUrl.replace(/\\/$/, '');\n    \n    const response = await fetch(normalizedBaseUrl + \"/chat/completions\", {\n      method: \"POST\",\n      headers,\n      body: JSON.stringify(requestBody),\n    });\n    \n    if (!response.ok) {\n      const errorText = await response.text();\n      console.error(\"Custom API error:\", response.status, errorText);\n      let errorMsg = \"Failed to get response from Custom API\";\n      try {\n        const errorData = JSON.parse(errorText);\n        errorMsg = errorData.error?.message || errorData.message || errorMsg;\n        if (response.status === 401 || response.status === 403) {\n          errorMsg = \"Custom provider API key is invalid or missing. Please check your API key in Settings → Models.\";\n        }\n      } catch {\n        // If error text isn't JSON, use the status code\n        if (response.status === 401 || response.status === 403) {\n          errorMsg = \"Custom provider API key is invalid or missing. Please check your API key in Settings → Models.\";\n        } else {\n          errorMsg = `Custom API error (${response.status}): ${errorText.substring(0, 200)}`;\n        }\n      }\n      throw new Error(errorMsg);\n    }\n    \n    const data = await response.json();\n    \n    console.log(\"[Custom API complete response]:\", JSON.stringify(data, null, 2));\n    \n    if (!data.choices || !data.choices[0] || !data.choices[0].message) {\n      throw new Error(\"Invalid response from Custom API\");\n    }\n    \n    return {\n      content: data.choices[0].message.content,\n      role: \"assistant\",\n      model: data.model,\n      usage: data.usage ? {\n        promptTokens: data.usage.prompt_tokens,\n        completionTokens: data.usage.completion_tokens,\n        totalTokens: data.usage.total_tokens,\n      } : undefined,\n    };\n  }\n  \n  async *stream(messages: ChatMessage[], options?: ChatCompletionOptions): AsyncIterable {\n    const baseUrl = options?.baseUrl || this.baseUrl;\n    const apiKey = options?.apiKey || this.apiKey;\n    \n    if (!baseUrl) {\n      throw new Error(\"Custom provider base URL not configured. Please add a base URL in the chat settings.\");\n    }\n    \n    const model = options?.model || this.defaultModel;\n    if (!model) {\n      throw new Error(\"No model specified for custom provider.\");\n    }\n    \n    const temperature = options?.temperature ?? 0.7;\n    const maxTokens = options?.maxTokens ?? 2048;\n    const topP = options?.topP ?? 1;\n    const frequencyPenalty = options?.frequencyPenalty ?? 0;\n    const presencePenalty = options?.presencePenalty ?? 0;\n    \n    // Add system prompt to messages if provided\n    const finalMessages = options?.systemPrompt \n      ? [{ role: \"system\" as const, content: options.systemPrompt }, ...messages]\n      : messages;\n    \n    // Build request headers\n    const headers: Record = {\n      \"Content-Type\": \"application/json\",\n    };\n    \n    if (apiKey) {\n      headers[\"Authorization\"] = \"Bearer \" + apiKey;\n    }\n    \n    // Build request body\n    const requestBody: Record = {\n      model,\n      messages: finalMessages,\n      temperature,\n      max_tokens: maxTokens,\n      top_p: topP,\n      frequency_penalty: frequencyPenalty,\n      presence_penalty: presencePenalty,\n      stream: true,\n    };\n    \n    const normalizedBaseUrl = baseUrl.replace(/\\/$/, '');\n    \n    console.log(\"[Custom stream] Request to:\", normalizedBaseUrl + \"/chat/completions\");\n    \n    const response = await fetch(normalizedBaseUrl + \"/chat/completions\", {\n      method: \"POST\",\n      headers,\n      body: JSON.stringify(requestBody),\n    });\n    \n    if (!response.ok) {\n      const errorText = await response.text();\n      console.error(\"[Custom stream] API error:\", response.status, errorText);\n      let errorMsg = \"Failed to start stream from Custom API\";\n      try {\n        const errorData = JSON.parse(errorText);\n        errorMsg = errorData.error?.message || errorData.message || errorMsg;\n        if (response.status === 401 || response.status === 403) {\n          errorMsg = \"Custom provider API key is invalid or missing. Please check your API key in Settings → Models.\";\n        }\n      } catch {\n        // If error text isn't JSON, use the status code\n        if (response.status === 401 || response.status === 403) {\n          errorMsg = \"Custom provider API key is invalid or missing. Please check your API key in Settings → Models.\";\n        } else {\n          errorMsg = `Custom API error (${response.status}): ${errorText.substring(0, 200)}`;\n        }\n      }\n      throw new Error(errorMsg);\n    }\n    \n    const reader = response.body?.getReader();\n    if (!reader) {\n      throw new Error(\"No response body for streaming\");\n    }\n    \n    const decoder = new TextDecoder();\n    let buffer = \"\";\n    let lineCount = 0;\n    \n    try {\n      while (true) {\n        const { done, value } = await reader.read();\n        \n        if (done) {\n          console.log(\"[Custom stream] Reader done\");\n          yield { content: \"\", done: true };\n          break;\n        }\n        \n        const chunk = decoder.decode(value, { stream: true });\n        buffer += chunk;\n        const lines = buffer.split(\"\\n\");\n        buffer = lines.pop() || \"\";\n        \n        for (const line of lines) {\n          const trimmed = line.trim();\n          if (!trimmed) continue;\n          \n          lineCount++;\n          if (lineCount <= 5) {\n            console.log(\"[Custom stream] Line \" + lineCount + \":\", trimmed.substring(0, 200));\n          }\n          \n          if (!trimmed.startsWith(\"data: \")) continue;\n          \n          const data = trimmed.slice(6);\n          if (data === \"[DONE]\") {\n            yield { content: \"\", done: true };\n            return;\n          }\n          \n          try {\n            const parsed = JSON.parse(data);\n            \n            if (parsed.error) {\n              const errorMsg = parsed.error?.message || JSON.stringify(parsed.error) || \"Unknown streaming error\";\n              console.error(\"[Custom stream] API error:\", errorMsg);\n              throw new Error(\"Custom API error: \" + errorMsg);\n            }\n            \n            const choice = parsed.choices?.[0];\n            const delta = choice?.delta || {};\n            \n            if (delta.content || choice?.finish_reason) {\n              yield { \n                content: delta.content || \"\", \n                done: false, \n                raw: parsed,\n                finishReason: choice?.finish_reason,\n              };\n            }\n          } catch (e) {\n            if (e instanceof Error && e.message.startsWith(\"Custom API error:\")) {\n              throw e;\n            }\n            console.error(\"[Custom stream] JSON parse error:\", e, \"data:\", data.substring(0, 100));\n          }\n        }\n      }\n    } finally {\n      console.log(\"[Custom stream] Total lines processed:\", lineCount);\n      reader.releaseLock();\n    }\n  }\n  \n  // List available models from the API (auto-discovery)\n  async listModels(baseUrl?: string, apiKey?: string): Promise> {\n    const url = baseUrl || this.baseUrl;\n    const key = apiKey || this.apiKey;\n    \n    if (!url) {\n      throw new Error(\"Base URL required to list models\");\n    }\n    \n    const normalizedBaseUrl = url.replace(/\\/$/, '');\n    \n    const headers: Record = {};\n    if (key) {\n      headers[\"Authorization\"] = \"Bearer \" + key;\n    }\n    \n    const response = await fetch(normalizedBaseUrl + \"/models\", {\n      headers,\n    });\n    \n    if (!response.ok) {\n      const errorText = await response.text();\n      throw new Error(\"Failed to list models: \" + response.status + \" - \" + errorText);\n    }\n    \n    const data = await response.json();\n    \n    // Handle both OpenAI format { data: [...] } and simple array format [...]\n    const modelList = data.data || data || [];\n    \n    return modelList.map((m: { id: string; name?: string; owned_by?: string }) => ({\n      id: m.id,\n      name: m.name || m.id,\n      owned_by: m.owned_by,\n    }));\n  }\n}\n\n// Singleton instance for simple use cases\nexport const customProvider = new CustomProvider();\n\n",[],[1380,1453,1494],"0d9bfe76-e2e9-11f0-b141-42dde27851f2","anthropic.ts","0d9bff34-e2e9-11f0-b141-42dde27851f2",103,["D",1766815103178],"// Anthropic Chat Provider\n// Uses Anthropic's Messages API which has a different format than OpenAI\nimport type { ChatProvider, ChatMessage, ChatCompletionOptions, ChatCompletionResponse, StreamChunk } from \"./types.ts\";\n\n// Anthropic uses a different message format\ninterface AnthropicMessage {\n  role: \"user\" | \"assistant\";\n  content: string;\n}\n\nexport class AnthropicProvider implements ChatProvider {\n  name = \"anthropic\";\n  defaultModel = \"claude-sonnet-4-20250514\";\n  \n  private apiKey: string | undefined;\n  private baseUrl = \"https://api.anthropic.com/v1\";\n  private apiVersion = \"2023-06-01\";\n  \n  constructor() {\n    this.apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\");\n  }\n  \n  isConfigured(): boolean {\n    return !!this.apiKey;\n  }\n  \n  // Convert OpenAI-style messages to Anthropic format\n  private convertMessages(messages: ChatMessage[], systemPrompt?: string): { system?: string; messages: AnthropicMessage[] } {\n    const anthropicMessages: AnthropicMessage[] = [];\n    let system = systemPrompt || \"\";\n    \n    for (const msg of messages) {\n      if (msg.role === \"system\") {\n        // Anthropic handles system prompts separately\n        system = system ? system + \"\\n\\n\" + msg.content : msg.content;\n      } else {\n        anthropicMessages.push({\n          role: msg.role as \"user\" | \"assistant\",\n          content: msg.content,\n        });\n      }\n    }\n    \n    return {\n      system: system || undefined,\n      messages: anthropicMessages,\n    };\n  }\n  \n  async complete(messages: ChatMessage[], options?: ChatCompletionOptions): Promise {\n    const apiKey = options?.apiKey || this.apiKey;\n    \n    if (!apiKey) {\n      throw new Error(\"ANTHROPIC_API_KEY not configured. Please add your API key in the chat settings.\");\n    }\n    \n    const model = options?.model || this.defaultModel;\n    const temperature = options?.temperature ?? 0.7;\n    const maxTokens = options?.maxTokens ?? 4096;\n    const topP = options?.topP ?? 1;\n    \n    const { system, messages: anthropicMessages } = this.convertMessages(messages, options?.systemPrompt);\n    \n    // Build request headers - Anthropic uses different auth header\n    const headers: Record = {\n      \"x-api-key\": apiKey,\n      \"anthropic-version\": this.apiVersion,\n      \"Content-Type\": \"application/json\",\n    };\n    \n    // Enable extended thinking for Claude 3.5+ if requested\n    if (options?.reasoningEffort && this.supportsExtendedThinking(model)) {\n      headers[\"anthropic-beta\"] = \"interleaved-thinking-2025-05-14\";\n    }\n    \n    // Build request body - Anthropic format\n    const requestBody: Record = {\n      model,\n      messages: anthropicMessages,\n      max_tokens: maxTokens,\n      stream: false,\n    };\n    \n    // Only add optional params if set\n    if (system) {\n      requestBody.system = system;\n    }\n    if (temperature !== undefined) {\n      requestBody.temperature = temperature;\n    }\n    if (topP !== undefined && topP !== 1) {\n      requestBody.top_p = topP;\n    }\n    \n    // Extended thinking configuration\n    if (options?.reasoningEffort && this.supportsExtendedThinking(model)) {\n      const budgetTokens = this.getThinkingBudget(options.reasoningEffort);\n      requestBody.thinking = {\n        type: \"enabled\",\n        budget_tokens: budgetTokens,\n      };\n      // Temperature must be 1 for extended thinking\n      requestBody.temperature = 1;\n    }\n    \n    const response = await fetch(this.baseUrl + \"/messages\", {\n      method: \"POST\",\n      headers,\n      body: JSON.stringify(requestBody),\n    });\n    \n    if (!response.ok) {\n      const errorText = await response.text();\n      console.error(\"Anthropic API error:\", response.status, errorText);\n      let errorMsg = \"Failed to get response from Anthropic API\";\n      try {\n        const errorData = JSON.parse(errorText);\n        errorMsg = errorData.error?.message || errorData.message || errorMsg;\n        if (response.status === 401 || response.status === 403) {\n          errorMsg = \"Anthropic API key is invalid or missing. Please check your API key in Settings → Models.\";\n        }\n      } catch {\n        // If error text isn't JSON, use the status code\n        if (response.status === 401 || response.status === 403) {\n          errorMsg = \"Anthropic API key is invalid or missing. Please check your API key in Settings → Models.\";\n        } else {\n          errorMsg = `Anthropic API error (${response.status}): ${errorText.substring(0, 200)}`;\n        }\n      }\n      throw new Error(errorMsg);\n    }\n    \n    const data = await response.json();\n    \n    console.log(\"[Anthropic API complete response]:\", JSON.stringify(data, null, 2));\n    \n    if (!data.content || !data.content[0]) {\n      throw new Error(\"Invalid response from Anthropic API\");\n    }\n    \n    // Extract text content (may include thinking blocks)\n    let content = \"\";\n    let reasoning = \"\";\n    for (const block of data.content) {\n      if (block.type === \"text\") {\n        content += block.text;\n      } else if (block.type === \"thinking\") {\n        reasoning += block.thinking;\n      }\n    }\n    \n    return {\n      content,\n      role: \"assistant\",\n      model: data.model,\n      usage: data.usage ? {\n        promptTokens: data.usage.input_tokens,\n        completionTokens: data.usage.output_tokens,\n        totalTokens: data.usage.input_tokens + data.usage.output_tokens,\n      } : undefined,\n    };\n  }\n  \n  async *stream(messages: ChatMessage[], options?: ChatCompletionOptions): AsyncIterable {\n    const apiKey = options?.apiKey || this.apiKey;\n    \n    if (!apiKey) {\n      throw new Error(\"ANTHROPIC_API_KEY not configured. Please add your API key in the chat settings.\");\n    }\n    \n    const model = options?.model || this.defaultModel;\n    const temperature = options?.temperature ?? 0.7;\n    const maxTokens = options?.maxTokens ?? 4096;\n    const topP = options?.topP ?? 1;\n    \n    const { system, messages: anthropicMessages } = this.convertMessages(messages, options?.systemPrompt);\n    \n    // Build request headers\n    const headers: Record = {\n      \"x-api-key\": apiKey,\n      \"anthropic-version\": this.apiVersion,\n      \"Content-Type\": \"application/json\",\n    };\n    \n    if (options?.reasoningEffort && this.supportsExtendedThinking(model)) {\n      headers[\"anthropic-beta\"] = \"interleaved-thinking-2025-05-14\";\n    }\n    \n    // Build request body\n    const requestBody: Record = {\n      model,\n      messages: anthropicMessages,\n      max_tokens: maxTokens,\n      stream: true,\n    };\n    \n    if (system) {\n      requestBody.system = system;\n    }\n    if (temperature !== undefined) {\n      requestBody.temperature = temperature;\n    }\n    if (topP !== undefined && topP !== 1) {\n      requestBody.top_p = topP;\n    }\n    \n    // Extended thinking configuration\n    if (options?.reasoningEffort && this.supportsExtendedThinking(model)) {\n      const budgetTokens = this.getThinkingBudget(options.reasoningEffort);\n      requestBody.thinking = {\n        type: \"enabled\",\n        budget_tokens: budgetTokens,\n      };\n      requestBody.temperature = 1;\n    }\n    \n    console.log(\"[Anthropic stream] Request body:\", JSON.stringify(requestBody, null, 2));\n    \n    const response = await fetch(this.baseUrl + \"/messages\", {\n      method: \"POST\",\n      headers,\n      body: JSON.stringify(requestBody),\n    });\n    \n    if (!response.ok) {\n      const errorText = await response.text();\n      console.error(\"[Anthropic stream] API error:\", response.status, errorText);\n      let errorMsg = \"Failed to start stream from Anthropic API\";\n      try {\n        const errorData = JSON.parse(errorText);\n        errorMsg = errorData.error?.message || errorData.message || errorMsg;\n        if (response.status === 401 || response.status === 403) {\n          errorMsg = \"Anthropic API key is invalid or missing. Please check your API key in Settings → Models.\";\n        }\n      } catch {\n        // If error text isn't JSON, use the status code\n        if (response.status === 401 || response.status === 403) {\n          errorMsg = \"Anthropic API key is invalid or missing. Please check your API key in Settings → Models.\";\n        } else {\n          errorMsg = `Anthropic API error (${response.status}): ${errorText.substring(0, 200)}`;\n        }\n      }\n      throw new Error(errorMsg);\n    }\n    \n    const reader = response.body?.getReader();\n    if (!reader) {\n      throw new Error(\"No response body for streaming\");\n    }\n    \n    const decoder = new TextDecoder();\n    let buffer = \"\";\n    let lineCount = 0;\n    \n    try {\n      while (true) {\n        const { done, value } = await reader.read();\n        \n        if (done) {\n          console.log(\"[Anthropic stream] Reader done\");\n          yield { content: \"\", done: true };\n          break;\n        }\n        \n        const chunk = decoder.decode(value, { stream: true });\n        buffer += chunk;\n        const lines = buffer.split(\"\\n\");\n        buffer = lines.pop() || \"\";\n        \n        let currentEvent = \"\";\n        \n        for (const line of lines) {\n          const trimmed = line.trim();\n          if (!trimmed) continue;\n          \n          lineCount++;\n          if (lineCount <= 5) {\n            console.log(\"[Anthropic stream] Line \" + lineCount + \":\", trimmed.substring(0, 200));\n          }\n          \n          // Track event type (SSE format)\n          if (trimmed.startsWith(\"event: \")) {\n            currentEvent = trimmed.slice(7);\n            continue;\n          }\n          \n          if (!trimmed.startsWith(\"data: \")) continue;\n          \n          const data = trimmed.slice(6);\n          \n          try {\n            const parsed = JSON.parse(data);\n            \n            // Handle different event types\n            if (currentEvent === \"error\" || parsed.type === \"error\") {\n              const errorMsg = parsed.error?.message || JSON.stringify(parsed) || \"Unknown streaming error\";\n              console.error(\"[Anthropic stream] API error:\", errorMsg);\n              throw new Error(\"Anthropic API error: \" + errorMsg);\n            }\n            \n            if (currentEvent === \"message_stop\" || parsed.type === \"message_stop\") {\n              yield { content: \"\", done: true };\n              return;\n            }\n            \n            // Content block delta - the actual streaming text\n            if (parsed.type === \"content_block_delta\") {\n              const delta = parsed.delta;\n              if (delta?.type === \"text_delta\") {\n                yield {\n                  content: delta.text || \"\",\n                  done: false,\n                  raw: parsed,\n                };\n              } else if (delta?.type === \"thinking_delta\") {\n                yield {\n                  content: \"\",\n                  done: false,\n                  raw: parsed,\n                  reasoning: delta.thinking || \"\",\n                };\n              }\n            }\n            \n            currentEvent = \"\";\n          } catch (e) {\n            if (e instanceof Error && e.message.startsWith(\"Anthropic API error:\")) {\n              throw e;\n            }\n            console.error(\"[Anthropic stream] JSON parse error:\", e, \"data:\", data.substring(0, 100));\n          }\n        }\n      }\n    } finally {\n      console.log(\"[Anthropic stream] Total lines processed:\", lineCount);\n      reader.releaseLock();\n    }\n  }\n  \n  // Check if model supports extended thinking\n  private supportsExtendedThinking(model: string): boolean {\n    return model.includes('claude-3') || \n           model.includes('claude-sonnet-4') || \n           model.includes('claude-opus-4');\n  }\n  \n  // Get thinking budget based on effort level\n  private getThinkingBudget(effort: 'low' | 'medium' | 'high'): number {\n    switch (effort) {\n      case 'low': return 5000;\n      case 'medium': return 10000;\n      case 'high': return 20000;\n      default: return 10000;\n    }\n  }\n}\n\n",[],[1380,1453,1502],"0daa10a6-e2e9-11f0-bdaa-42dde27851f2","PARAMETER-VALIDATION.md","0daa1178-e2e9-11f0-bdaa-42dde27851f2",106,["D",1766815103294],"# Parameter Validation & Transformation System\n\nThis system handles the \"whack-a-mole\" problem where different AI models/providers require different parameter formats.\n\n## Problem\n\nDifferent models have different requirements:\n- **Qwen3-32B**: `reasoning_effort` must be `'none'` or `'default'`\n- **OpenAI o1/o3**: `reasoning_effort` can be `'low'`, `'medium'`, `'high'`\n- **Anthropic**: Uses `extended_thinking` budget tokens instead\n- **Some models**: Don't support certain parameters at all\n\n## Solution\n\n### 1. Parameter Mapping (`apiMapping`)\n\nIn `model-configs.ts`, SelectParameters can define an `apiMapping` to translate UI values to API values:\n\n```typescript\n{\n  key: 'reasoningEffort',\n  label: 'Reasoning Effort',\n  type: 'select',\n  options: [\n    { value: 'none', label: 'None' },\n    { value: 'default', label: 'Default' }\n  ],\n  default: 'default',\n  apiMapping: {\n    'none': 'none',\n    'default': 'default',\n    // Backwards compatibility\n    'low': 'none',\n    'medium': 'default',\n    'high': 'default'\n  }\n}\n```\n\n### 2. Parameter Transformation\n\nThe `transformParametersForAPI()` function automatically applies these mappings:\n\n```typescript\nimport { transformParametersForAPI } from \"./model-configs.ts\";\n\n// Transform before sending to API\nconst transformedParams = transformParametersForAPI(model, {\n  reasoningEffort: 'medium', // UI value\n  webSearch: true,\n});\n// Result: { reasoningEffort: 'default', webSearch: true }\n```\n\n### 3. Parameter Validation\n\nThe `validateParameters()` function checks if parameters are valid:\n\n```typescript\nimport { validateParameters } from \"./model-configs.ts\";\n\nconst errors = validateParameters(modelId, params);\nif (errors.length > 0) {\n  console.error(\"Validation errors:\", errors);\n}\n```\n\n## Usage in Providers\n\n### Groq Provider Example\n\n```typescript\n// In complete() or stream() method:\nconst transformedParams = transformParametersForAPI(model, {\n  reasoningEffort: options?.reasoningEffort,\n  imageDetail: options?.imageDetail,\n  webSearch: options?.webSearch,\n  codeExecution: options?.codeExecution,\n});\n\n// Only add parameters if model supports them AND they're defined\nif (transformedParams.reasoningEffort && modelSupportsParameter(model, 'reasoningEffort')) {\n  requestBody.reasoning_effort = transformedParams.reasoningEffort;\n}\n```\n\n## Adding New Models with Custom Parameters\n\n### Example: Model with different parameter format\n\n```typescript\n{\n  id: 'custom-model',\n  name: 'Custom Model',\n  provider: 'custom',\n  parameters: [\n    {\n      key: 'thinkingLevel',\n      label: 'Thinking Level',\n      type: 'select',\n      options: [\n        { value: 'fast', label: 'Fast' },\n        { value: 'balanced', label: 'Balanced' },\n        { value: 'deep', label: 'Deep' }\n      ],\n      default: 'balanced',\n      // Map to what the API actually expects\n      apiMapping: {\n        'fast': '1',\n        'balanced': '2',\n        'deep': '3'\n      }\n    }\n  ],\n  // Optional: Custom transformation logic\n  transformParameters: (params) => {\n    const transformed = { ...params };\n    // Custom logic here\n    if (params.special_feature) {\n      transformed.enable_experimental = true;\n    }\n    return transformed;\n  }\n}\n```\n\n## Benefits\n\n1. **Single Source of Truth**: Model configs define both UI and API requirements\n2. **Backwards Compatibility**: Old parameter values can be mapped to new ones\n3. **Type Safety**: TypeScript ensures parameters are validated at compile time\n4. **Easy Debugging**: Clear error messages when parameters don't match\n5. **Extensible**: Add new parameter types and transformations easily\n\n## Testing\n\nTo test parameter validation:\n\n```typescript\nimport { validateParameters, transformParametersForAPI } from \"./model-configs.ts\";\n\n// Test validation\nconst errors = validateParameters('qwen/qwen3-32b', {\n  reasoningEffort: 'medium', // Valid (will be mapped)\n  temperature: 0.7,\n});\nconsole.log(\"Validation errors:\", errors); // Should be empty\n\n// Test transformation\nconst transformed = transformParametersForAPI('qwen/qwen3-32b', {\n  reasoningEffort: 'medium',\n});\nconsole.log(\"Transformed:\", transformed); // { reasoningEffort: 'default' }\n```\n\n## Migration Guide\n\n### For Existing Models\n\n1. Check your model's API documentation\n2. Find any parameters with specific value requirements\n3. Add `apiMapping` to those parameters in `model-configs.ts`\n4. Update provider to use `transformParametersForAPI()`\n\n### For New Providers\n\n1. Define parameter configs in `model-configs.ts`\n2. Use `transformParametersForAPI()` before building request body\n3. Use `modelSupportsParameter()` to check if parameter is supported\n4. Optionally add validation before making API calls\n\n## Common Patterns\n\n### Pattern 1: Optional parameter with mapping\n\n```typescript\nconst transformed = transformParametersForAPI(model, {\n  reasoningEffort: options?.reasoningEffort,\n});\n\nif (transformed.reasoningEffort && modelSupportsParameter(model, 'reasoningEffort')) {\n  requestBody.reasoning_effort = transformed.reasoningEffort;\n}\n```\n\n### Pattern 2: Validation before API call\n\n```typescript\nconst errors = validateParameters(modelId, params);\nif (errors.length > 0) {\n  throw new Error(`Invalid parameters: ${errors.join(', ')}`);\n}\n```\n\n### Pattern 3: Default values with mapping\n\n```typescript\nconst transformed = transformParametersForAPI(model, {\n  reasoningEffort: options?.reasoningEffort ?? 'medium', // UI default\n});\n// Will automatically map 'medium' to API value\n```\n\n",[],[1380,1453,1510],"0d92740a-e2e9-11f0-b141-42dde27851f2","IMPLEMENTATION-SUMMARY.md","0d9274c8-e2e9-11f0-b141-42dde27851f2",101,["D",1766815103064],"# Parameter Validation & Transformation System - Implementation Summary\n\n## Problem Solved\n\nDifferent AI models/providers have incompatible parameter requirements, causing a \"whack-a-mole\" issue where:\n- **Qwen3-32B**: Requires `reasoning_effort` to be `'none'` or `'default'`\n- **OpenAI o1/o3**: Accepts `'low'`, `'medium'`, `'high'`  \n- **GPT-OSS models**: Don't support `image_detail` at all\n- **Vision models**: Support `image_detail` parameter\n- **Other models**: Don't support `reasoning_effort` at all\n\nThis caused API errors like:\n```\n`reasoning_effort` must be one of `none` or `default`\nproperty 'image_detail' is unsupported\n```\n\n## Solution Implemented\n\n### 1. Enhanced Model Configuration (`model-configs.ts`)\n\nAdded `apiMapping` to `SelectParameter` type for value translation:\n\n```typescript\nexport interface SelectParameter extends BaseParameter {\n  type: 'select';\n  options: Array<{ value: string; label: string }>;\n  default?: string;\n  apiMapping?: Record; // NEW: Maps UI → API values\n}\n```\n\nAdded `transformParameters` function to `ModelConfig`:\n\n```typescript\nexport interface ModelConfig {\n  // ... existing fields ...\n  transformParameters?: (params: Record) => Record;\n}\n```\n\n### 2. Parameter Transformation Function\n\nCreated `transformParametersForAPI()` that:\n- Applies `apiMapping` for select parameters\n- Runs model-specific transformation functions\n- Preserves unknown/unsupported parameters\n\n```typescript\ntransformParametersForAPI('qwen/qwen3-32b', {\n  reasoningEffort: 'medium',  // UI value\n  temperature: 0.7\n});\n// Returns: { reasoningEffort: 'default', temperature: 0.7 }\n```\n\n### 3. Parameter Validation Function\n\nCreated `validateParameters()` that:\n- Checks required parameters\n- Validates number ranges (min/max)\n- Validates select options (with apiMapping support)\n- Validates string/textarea lengths\n- Validates boolean types\n\nReturns array of human-readable error messages.\n\n### 4. Provider Integration\n\nUpdated `groq.ts` provider:\n- Imports `transformParametersForAPI`\n- Transforms parameters before building request body\n- Applied to both `complete()` and `stream()` methods\n\n```typescript\nconst transformedParams = transformParametersForAPI(model, {\n  reasoningEffort: options?.reasoningEffort,\n  imageDetail: options?.imageDetail,\n  webSearch: options?.webSearch,\n  codeExecution: options?.codeExecution,\n});\n\nif (transformedParams.reasoningEffort && modelSupportsParameter(model, 'reasoningEffort')) {\n  requestBody.reasoning_effort = transformedParams.reasoningEffort;\n}\n```\n\n### 5. Jobs API Integration\n\nUpdated `jobs.ts` to validate and transform parameters:\n- Validates parameters before starting job\n- Transforms parameters for model-specific requirements\n- Returns clear error messages on validation failure\n\n```typescript\n// Validate parameters\nconst validationErrors = validateParameters(model, paramsToValidate);\nif (validationErrors.length > 0) {\n  failJob(job, \"Invalid parameters: \" + validationErrors.join(\", \"));\n  return;\n}\n\n// Transform parameters\nconst transformedParams = transformParametersForAPI(model, paramsToValidate);\n```\n\n### 6. Qwen Model Configuration Update\n\nUpdated `qwen/qwen3-32b` model config with proper parameter mapping:\n\n```typescript\n{\n  id: 'qwen/qwen3-32b',\n  name: 'Qwen3-32B',\n  provider: 'groq',\n  parameters: [\n    // ... base parameters ...\n    {\n      key: 'reasoningEffort',\n      label: 'Reasoning Effort',\n      type: 'select',\n      options: [\n        { value: 'none', label: 'None' },\n        { value: 'default', label: 'Default' }\n      ],\n      default: 'default',\n      apiMapping: {\n        'none': 'none',\n        'default': 'default',\n        // Backwards compatibility\n        'low': 'none',\n        'medium': 'default',\n        'high': 'default'\n      }\n    },\n    // ... other parameters ...\n  ],\n  capabilities: { thinking: true, streaming: true }\n}\n```\n\n## Files Changed\n\n1. **backend/providers/model-configs.ts**\n   - Added `apiMapping` to `SelectParameter`\n   - Added `transformParameters` to `ModelConfig`\n   - Added `transformParametersForAPI()` function\n   - Added `validateParameters()` function\n   - Updated Qwen model config with proper parameters\n\n2. **backend/providers/groq.ts**\n   - Import `transformParametersForAPI`\n   - Apply transformation in `complete()` method\n   - Apply transformation in `stream()` method\n\n3. **backend/routes/jobs.ts**\n   - Import validation and transformation functions\n   - Validate parameters before job execution\n   - Transform parameters before passing to provider\n   - Return validation errors to client\n\n## Files Created\n\n1. **backend/providers/PARAMETER-VALIDATION.md**\n   - Complete documentation of the system\n   - Usage examples\n   - Migration guide\n   - Common patterns\n\n2. **backend/providers/test-parameter-validation.ts**\n   - Test suite demonstrating all features\n   - Validation examples\n   - Transformation examples\n   - Run with: `deno run backend/providers/test-parameter-validation.ts`\n\n## Testing\n\nRun the test suite:\n\n```bash\ncd /Users/janzheng/localhost/smallweb/design/v2/frontend/apps/chat-app\ndeno run backend/providers/test-parameter-validation.ts\n```\n\nExpected output:\n- ✅ Parameter transformation works (medium → default)\n- ✅ Validation catches invalid values\n- ✅ Backwards compatibility maintained\n- ✅ Range validation works\n- ✅ All valid parameters pass validation\n\n## Benefits\n\n1. **Single Source of Truth**: Model requirements defined once in config\n2. **Backwards Compatible**: Old parameter values automatically mapped\n3. **Type Safe**: TypeScript validates at compile time\n4. **Clear Errors**: Meaningful error messages for invalid parameters\n5. **Extensible**: Easy to add new models with custom requirements\n6. **No Code Changes**: Providers automatically use transformations\n7. **No Whack-a-Mole**: Model-specific quirks handled declaratively\n\n## Next Steps\n\nTo add parameter mapping for other models:\n\n1. Identify models with parameter requirements (check API docs)\n2. Add `apiMapping` to relevant parameters in `model-configs.ts`\n3. Test with `test-parameter-validation.ts`\n4. Deploy - existing code automatically uses mappings\n\n## Example: Adding a New Model\n\n```typescript\n{\n  id: 'new-model',\n  name: 'New Model',\n  provider: 'custom',\n  parameters: [\n    {\n      key: 'creativityLevel',\n      label: 'Creativity',\n      type: 'select',\n      options: [\n        { value: 'conservative', label: 'Conservative' },\n        { value: 'balanced', label: 'Balanced' },\n        { value: 'experimental', label: 'Experimental' }\n      ],\n      default: 'balanced',\n      // Map UI values to what API expects\n      apiMapping: {\n        'conservative': '1',\n        'balanced': '2',\n        'experimental': '3'\n      }\n    }\n  ]\n}\n```\n\nNo other code changes needed - transformation happens automatically!\n\n",[],[1380,1453,1518],"0dd62c5e-e2e9-11f0-b141-42dde27851f2","FLOW-DIAGRAM.md","0dd62cf4-e2e9-11f0-b141-42dde27851f2",111,["D",1766815103506],"# Parameter Transformation Flow Diagram\n\n```\n┌─────────────────────────────────────────────────────────────────────┐\n│                         USER INPUT (Frontend)                        │\n│                                                                       │\n│  Model: qwen/qwen3-32b                                               │\n│  Parameters:                                                          │\n│    - reasoningEffort: \"medium\"  ← UI-friendly value                  │\n│    - temperature: 0.7                                                 │\n│    - webSearch: true                                                  │\n└───────────────────────────────┬─────────────────────────────────────┘\n                                │\n                                ↓\n┌─────────────────────────────────────────────────────────────────────┐\n│                    JOBS API (backend/routes/jobs.ts)                 │\n│                                                                       │\n│  1. Receive job request                                              │\n│  2. Extract parameters from input                                    │\n│  3. VALIDATE parameters                                              │\n│     ├─ validateParameters(modelId, params)                           │\n│     ├─ Check required fields                                         │\n│     ├─ Check value ranges                                            │\n│     └─ Check allowed values (with apiMapping support)                │\n│                                                                       │\n│  4. TRANSFORM parameters                                             │\n│     └─ transformParametersForAPI(modelId, params)                    │\n│        \"medium\" → \"default\" ✓                                        │\n│                                                                       │\n│  5. Pass transformed params to provider                              │\n└───────────────────────────────┬─────────────────────────────────────┘\n                                │\n                                ↓\n┌─────────────────────────────────────────────────────────────────────┐\n│                  GROQ PROVIDER (backend/providers/groq.ts)           │\n│                                                                       │\n│  1. Receive chat options with transformed parameters                 │\n│  2. Build request body                                               │\n│  3. Apply transformations again (double-check)                       │\n│     └─ transformParametersForAPI(model, { reasoningEffort, ... })   │\n│  4. Only add parameters if model supports them                       │\n│     └─ if (param && modelSupportsParameter(model, key))             │\n│  5. Send request to Groq API                                         │\n└───────────────────────────────┬─────────────────────────────────────┘\n                                │\n                                ↓\n┌─────────────────────────────────────────────────────────────────────┐\n│                        GROQ API (External)                           │\n│                                                                       │\n│  POST https://api.groq.com/openai/v1/chat/completions               │\n│  {                                                                    │\n│    \"model\": \"qwen/qwen3-32b\",                                        │\n│    \"messages\": [...],                                                │\n│    \"reasoning_effort\": \"default\",  ← API-compatible value ✓          │\n│    \"temperature\": 0.7,                                               │\n│    \"stream\": true                                                    │\n│  }                                                                    │\n│                                                                       │\n│  ✓ Success! No more errors                                           │\n└─────────────────────────────────────────────────────────────────────┘\n```\n\n## Model Configuration (model-configs.ts)\n\n```\n┌─────────────────────────────────────────────────────────────────────┐\n│                    MODEL CONFIG: qwen/qwen3-32b                      │\n│                                                                       │\n│  parameters: [                                                        │\n│    {                                                                  │\n│      key: 'reasoningEffort',                                         │\n│      type: 'select',                                                  │\n│      options: [                                                       │\n│        { value: 'none', label: 'None' },                             │\n│        { value: 'default', label: 'Default' }                        │\n│      ],                                                               │\n│      apiMapping: {                     ← THE KEY FEATURE             │\n│        'none': 'none',           ✓ Direct mapping                    │\n│        'default': 'default',     ✓ Direct mapping                    │\n│        'low': 'none',            ✓ Backwards compat                  │\n│        'medium': 'default',      ✓ Backwards compat                  │\n│        'high': 'default'         ✓ Backwards compat                  │\n│      }                                                                │\n│    }                                                                  │\n│  ]                                                                    │\n└─────────────────────────────────────────────────────────────────────┘\n```\n\n## Validation Flow\n\n```\nvalidateParameters(modelId, params)\n  │\n  ├─ For each parameter in model config:\n  │   │\n  │   ├─ Check if required and missing → ERROR\n  │   │\n  │   ├─ If present, validate by type:\n  │   │   │\n  │   │   ├─ NUMBER:\n  │   │   │   ├─ Is it a number?\n  │   │   │   ├─ Within min/max range?\n  │   │   │   └─ → Add to errors if invalid\n  │   │   │\n  │   │   ├─ SELECT:\n  │   │   │   ├─ Is it one of the allowed options?\n  │   │   │   ├─ OR is it a valid apiMapping key?  ← NEW\n  │   │   │   └─ → Add to errors if invalid\n  │   │   │\n  │   │   ├─ STRING/TEXTAREA:\n  │   │   │   ├─ Within maxLength?\n  │   │   │   └─ → Add to errors if invalid\n  │   │   │\n  │   │   └─ BOOLEAN:\n  │   │       └─ Is it true/false?\n  │   │\n  │   └─ Continue to next parameter\n  │\n  └─ Return array of error messages (empty if valid)\n```\n\n## Transformation Flow\n\n```\ntransformParametersForAPI(modelId, params)\n  │\n  ├─ Get model config\n  │\n  ├─ For each parameter:\n  │   │\n  │   ├─ Is it a SELECT parameter?\n  │   │   │\n  │   │   ├─ Does it have apiMapping?\n  │   │   │   │\n  │   │   │   ├─ Is current value in mapping?\n  │   │   │   │   │\n  │   │   │   │   └─ YES: Replace value with mapped value\n  │   │   │   │       \"medium\" → \"default\" ✓\n  │   │   │   │\n  │   │   │   └─ NO: Keep original value\n  │   │   │\n  │   │   └─ No apiMapping: Keep original value\n  │   │\n  │   └─ Not a SELECT: Keep original value\n  │\n  ├─ Apply model-specific transformParameters() if exists\n  │\n  └─ Return transformed parameters\n```\n\n## Error Handling\n\n### Before (No Validation):\n```\nUser selects \"medium\" reasoning\n   ↓\nSent directly to API\n   ↓\nGroq API rejects: \"must be 'none' or 'default'\"\n   ↓\nError shown to user 😞\n```\n\n### After (With Validation & Transformation):\n```\nUser selects \"medium\" reasoning\n   ↓\nValidated: \"medium\" is valid (in apiMapping) ✓\n   ↓\nTransformed: \"medium\" → \"default\"\n   ↓\nSent to API with correct value\n   ↓\nAPI accepts request ✓\n   ↓\nUser gets response 😊\n```\n\n## Key Components\n\n1. **`SelectParameter.apiMapping`**: Maps UI values to API values\n2. **`validateParameters()`**: Validates before sending to API\n3. **`transformParametersForAPI()`**: Transforms values using mappings\n4. **`ModelConfig.transformParameters`**: Custom transformation logic (optional)\n5. **Provider Integration**: Uses transformations automatically\n\n## Benefits\n\n- ✅ **Declarative**: Define mappings in config, not scattered in code\n- ✅ **Type-Safe**: TypeScript checks everything\n- ✅ **Backwards Compatible**: Old values still work\n- ✅ **Extensible**: Easy to add new models/mappings\n- ✅ **Debuggable**: Clear validation errors\n- ✅ **No Code Duplication**: One system for all providers\n\n",[],[1380,1453,1526],"0d95d280-e2e9-11f0-bb45-42dde27851f2","FIX-IMAGE-DETAIL.md","0d95d33e-e2e9-11f0-bb45-42dde27851f2",102,["D",1766815103152],"# Fix: image_detail Parameter Error\n\n## Issue\nGPT-OSS models were receiving `image_detail` parameter even though they don't support it, causing:\n```json\n{\n  \"id\": \"1766681048491-1\",\n  \"status\": \"error\",\n  \"error\": \"property 'image_detail' is unsupported\"\n}\n```\n\n## Root Cause\nThe code was applying transformations to ALL parameters and then checking if the model supports them. However, if `imageDetail` was set in the options (perhaps from a previous model selection or default settings), it would be included in the transformation and potentially sent to models that don't support it.\n\n## Solution\nThe fix ensures that **parameters are only added to the request if the model explicitly supports them**:\n\n```typescript\n// Transform parameters for this specific model\nconst transformedParams = transformParametersForAPI(model, {\n  reasoningEffort: options?.reasoningEffort,\n  imageDetail: options?.imageDetail,\n  webSearch: options?.webSearch,\n  codeExecution: options?.codeExecution,\n});\n\n// Add parameters ONLY if model supports them\nif (transformedParams.reasoningEffort && modelSupportsParameter(model, 'reasoningEffort')) {\n  requestBody.reasoning_effort = transformedParams.reasoningEffort;\n}\n\n// Image detail ONLY for vision models\nif (transformedParams.imageDetail && modelSupportsParameter(model, 'imageDetail')) {\n  requestBody.image_detail = transformedParams.imageDetail;\n}\n```\n\n## Model Configuration\n\nOnly **Llama 4 Vision models** have `imageDetail` parameter:\n\n✅ **Support imageDetail:**\n- `meta-llama/llama-4-maverick-17b-128e-instruct`\n- `meta-llama/llama-4-scout-17b-16e-instruct`\n\n❌ **DON'T support imageDetail:**\n- `openai/gpt-oss-120b`\n- `openai/gpt-oss-20b`\n- `llama-3.3-70b-versatile`\n- `qwen/qwen3-32b`\n- All other non-vision models\n\n## How It Works\n\nThe `modelSupportsParameter()` function checks if a parameter exists in the model's configuration:\n\n```typescript\nfunction modelSupportsParameter(modelId: string, parameterKey: string): boolean {\n  const config = getModelConfig(modelId);\n  if (!config) return false;\n  return config.parameters.some(p => p.key === parameterKey);\n}\n```\n\n### Example Flow:\n\n**GPT-OSS Model (no imageDetail):**\n```\n1. User options include imageDetail: 'auto'\n2. Transform: imageDetail: 'auto' (no mapping needed)\n3. Check: modelSupportsParameter('openai/gpt-oss-120b', 'imageDetail') → false\n4. Result: image_detail NOT added to request ✓\n```\n\n**Llama 4 Vision Model (has imageDetail):**\n```\n1. User options include imageDetail: 'auto'\n2. Transform: imageDetail: 'auto'\n3. Check: modelSupportsParameter('meta-llama/llama-4-maverick-17b-128e-instruct', 'imageDetail') → true\n4. Result: image_detail: 'auto' added to request ✓\n```\n\n## Benefits\n\n1. **No More Unsupported Parameter Errors**: Parameters only sent when supported\n2. **Type-Safe Configuration**: Model configs define what's supported\n3. **No Code Changes Needed**: Works automatically for all models\n4. **Clear Separation**: Vision parameters vs thinking parameters vs base parameters\n\n## Files Changed\n\n1. **`backend/providers/groq.ts`**\n   - Fixed parameter checking logic\n   - Added clear comments explaining when each parameter is used\n   - Applied same pattern to both `complete()` and `stream()` methods\n\n## Testing\n\nRun verification:\n```bash\ndeno run backend/providers/test-parameter-validation.ts\n```\n\nAll tests pass ✅\n\n## Related Issues Fixed\n\nThis same pattern fixes:\n- ✅ `reasoning_effort` mapping (Qwen: medium → default)\n- ✅ `image_detail` support check (only vision models)\n- ✅ `web_search` support check (only compound/thinking models)\n- ✅ `code_execution` support check (only compound/thinking models)\n\nThe parameter validation system now handles **all** model-specific quirks declaratively through the model configuration.\n\n",[],[1380,1453,1534],"0a6eb7f2-e2e9-11f0-b141-42dde27851f2",8,["D",1766815097871],[231,232,233,234,235,236,237,238,239,240,241,242],[1380,1453],"0a094de0-e2e9-11f0-8ff9-42dde27851f2",4,["D",1766815097206],[230,243,249,250,251],[1380],["D",1766815045152],["D",1789530642963],{"_11":12,"_164":73},{"_11":12,"_160":-5,"_72":73,"_31":71,"_161":162,"_163":30},{"_43":151,"_13":16,"_37":40,"_152":114,"_153":-5,"_154":-5,"_155":-5,"_156":-5,"_157":-5,"_158":14,"_159":12},"ctx",{"_56":-5,"_183":1589,"_1590":719,"_1591":1592,"_1593":30,"_1594":30,"_1595":30,"_1596":24,"_1597":-5,"_1598":-7,"_1599":-7,"_1600":26,"_1601":30,"_1602":30,"_1603":-5,"_1604":30,"_1605":30,"_1606":30,"_1607":-5},"ENV",{"_1560":1561,"_1562":1563,"_1564":16,"_1565":1566,"_1567":1568,"_1569":1570,"_1571":1572,"_1573":1574,"_1575":1576,"_1577":1578,"_1579":1580,"_1581":1582,"_1583":1584,"_1585":1586,"_1587":1588},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","811aa22498c9b0b5a47e8d778de579cdb990f332","RENDER_GIT_BRANCH","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","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

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