{"repo": "anuj8215/alpha-chat", "files": {"backend/src/services/temporaryChat.js": {"cdb78167242f983dae28d06881230d7a7206f59f": {"t": 1785746697.2553408, "n": 10857, "h": "1fff071e8dd0942f", "c": "//!SECTION - TEMPORARY CHAT SERVICE FOR HANDLING TEMPORARY AI CONVERSATIONS\n\nconst TemporaryChat = require('../models/temporaryChat');\nconst OpenAI = require('openai');\nconst { GoogleGenerativeAI } = require('@google/generative-ai');\nconst axios = require('axios');\nconst logger = require('../utils/logger');\n\n// Initialize AI services\nlet openaiChat = null;\nif (process.env.OPENAI_API_KEY) {\n    openaiChat = new OpenAI({\n        apiKey: process.env.OPENAI_API_KEY\n    });\n}\n\nconst genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY);\nconst DEEPSEEK_API_KEY = process.env.DEEPSEEK_API_KEY;\nconst DEEPSEEK_BASE_URL = 'https://api.deepseek.com/v1';\n\n//NOTE - CREATE NEW TEMPORARY CHAT SESSION\nconst createTemporarySession = async (options = {}) => {\n    try {\n        const session = await TemporaryChat.createTemporarySession({\n            userId: options.userId || null,\n            title: options.title || 'Temporary Chat',\n            aiModel: options.aiModel || 'gpt-3.5-turbo',\n            temperature: options.temperature || 0.7,\n            maxTokens: options.maxTokens || 1000,\n            systemPrompt: options.systemPrompt || 'You are a helpful AI assistant.',\n            ipAddress: options.ipAddress,\n            userAgent: options.userAgent\n        });\n\n        logger.info(`Created temporary chat session: ${session.sessionId}`);\n        return session;\n    } catch (error) {\n        logger.error(`Create temporary session error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - GET TEMPORARY CHAT SESSION\nconst getTemporarySession = async (sessionId) => {\n    try {\n        const session = await TemporaryChat.findActiveSession(sessionId);\n\n        if (!session) {\n            throw new Error('Session not found or expired');\n        }\n\n        return session;\n    } catch (error) {\n        logger.error(`Get temporary session error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - SEND MESSAGE IN TEMPORARY CHAT\nconst sendTemporaryMessage = async (sessionId, userMessage, options = {}) => {\n    try {\n        const session = await getTemporarySession(sessionId);\n\n        // Add user message to session\n        await session.addMessage('user', userMessage);\n\n        // Prepare conversation history for AI\n        const conversationHistory = session.messages.map(msg => ({\n            role: msg.role,\n            content: msg.content\n        }));\n\n        // Add system prompt if it's the first message\n        if (conversationHistory.length === 1) {\n            conversationHistory.unshift({\n                role: 'system',\n                content: session.settings.systemPrompt\n            });\n        }\n\n        // Get AI response based on selected model\n        const aiResponse = await generateAIResponse(\n            session.settings.aiModel,\n            conversationHistory,\n            {\n                temperature: session.settings.temperature,\n                maxTokens: session.settings.maxTokens\n            }\n        );\n\n        // Add AI response to session\n        await session.addMessage('assistant', aiResponse.content, {\n            model: session.settings.aiModel,\n            tokens: aiResponse.tokens,\n            processingTime: aiResponse.processingTime\n        });\n\n        // Reload session to get updated data\n        const updatedSession = await getTemporarySession(sessionId);\n\n        return {\n            sessionId: updatedSession.sessionId,\n            messages: updatedSession.messages,\n            metadata: updatedSession.metadata,\n            lastMessage: aiResponse\n        };\n\n    } catch (error) {\n        logger.error(`Send temporary message error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - GENERATE AI RESPONSE BASED ON MODEL\nconst generateAIResponse = async (model, conversationHistory, settings) => {\n    const startTime = Date.now();\n    let response, tokens = 0;\n\n    try {\n        switch (model) {\n            case 'gpt-3.5-turbo':\n            case 'gpt-4':\n            case 'gpt-4-turbo':\n                response = await generateOpenAIResponse(model, conversationHistory, settings);\n                break;\n\n            case 'gemini-pro':\n                response = await generateGeminiResponse(conversationHistory, settings);\n                break;\n\n            case 'deepseek-chat':\n                response = await generateDeepSeekResponse(conversationHistory, settings);\n                break;\n\n            default:\n                throw new Error(`Unsupported model: ${model}`);\n        }\n\n        const processingTime = Date.now() - startTime;\n\n        return {\n            content: response.content,\n            tokens: response.tokens || tokens,\n            processingTime\n        };\n\n    } catch (error) {\n        logger.error(`Generate AI response error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - OPENAI RESPONSE GENERATION\nconst generateOpenAIResponse = async (model, messages, settings) => {\n    try {\n        if (!openaiChat) {\n            throw new Error('OpenAI API key not configured');\n        }\n\n        const completion = await openaiChat.chat.completions.create({\n            model: model,\n            messages: messages,\n            temperature: settings.temperature,\n            max_tokens: settings.maxTokens,\n        });\n\n        return {\n            content: completion.choices[0].message.content,\n            tokens: completion.usage?.total_tokens || 0\n        };\n    } catch (error) {\n        logger.error(`OpenAI API error: ${error.message}`);\n        throw new Error('Failed to generate response from OpenAI');\n    }\n};\n\n//NOTE - GEMINI RESPONSE GENERATION\nconst generateGeminiResponse = async (messages, settings) => {\n    try {\n        const model = genAI.getGenerativeModel({ model: 'gemini-pro' });\n\n        // Convert conversation to Gemini format\n        const conversation = messages\n            .filter(msg => msg.role !== 'system')\n            .map(msg => msg.content)\n            .join('\\n\\nUser: ');\n\n        const result = await model.generateContent(conversation);\n        const response = await result.response;\n\n        return {\n            content: response.text(),\n            tokens: 0 // Gemini doesn't provide token count in free tier\n        };\n    } catch (error) {\n        logger.error(`Gemini API error: ${error.message}`);\n        throw new Error('Failed to generate response from Gemini');\n    }\n};\n\n//NOTE - DEEPSEEK RESPONSE GENERATION\nconst generateDeepSeekResponse = async (messages, settings) => {\n    try {\n        const response = await axios.post(\n            `${DEEPSEEK_BASE_URL}/chat/completions`,\n            {\n                model: 'deepseek-chat',\n                messages: messages,\n                temperature: settings.temperature,\n                max_tokens: settings.maxTokens,\n                stream: false\n            },\n            {\n                headers: {\n                    'Content-Type': 'application/json',\n                    'Authorization': `Bearer ${DEEPSEEK_API_KEY}`\n                }\n            }\n        );\n\n        return {\n            content: response.data.choices[0].message.content,\n            tokens: response.data.usage?.total_tokens || 0\n        };\n    } catch (error) {\n        logger.error(`DeepSeek API error: ${error.message}`);\n        throw new Error('Failed to generate response from DeepSeek');\n    }\n};\n\n//NOTE - UPDATE TEMPORARY CHAT SETTINGS\nconst updateTemporarySettings = async (sessionId, newSettings) => {\n    try {\n        const session = await getTemporarySession(sessionId);\n\n        const allowedSettings = ['aiModel', 'temperature', 'maxTokens', 'systemPrompt'];\n        const filteredSettings = {};\n\n        for (const key of allowedSettings) {\n            if (newSettings[key] !== undefined) {\n                filteredSettings[key] = newSettings[key];\n            }\n        }\n\n        await session.updateSettings(filteredSettings);\n\n        return session;\n    } catch (error) {\n        logger.error(`Update temporary settings error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - DELETE TEMPORARY CHAT SESSION\nconst deleteTemporarySession = async (sessionId) => {\n    try {\n        const result = await TemporaryChat.findOneAndDelete({ sessionId });\n\n        if (!result) {\n            throw new Error('Session not found');\n        }\n\n        logger.info(`Deleted temporary chat session: ${sessionId}`);\n        return { success: true, sessionId };\n    } catch (error) {\n        logger.error(`Delete temporary session error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - EXTEND SESSION EXPIRY\nconst extendSessionExpiry = async (sessionId, hours = 24) => {\n    try {\n        const session = await getTemporarySession(sessionId);\n        await session.extendExpiry(hours);\n\n        return session;\n    } catch (error) {\n        logger.error(`Extend session expiry error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - GET SESSION STATISTICS\nconst getSessionStats = async (sessionId) => {\n    try {\n        const session = await getTemporarySession(sessionId);\n\n        return {\n            sessionId: session.sessionId,\n            totalMessages: session.metadata.totalMessages,\n            totalTokensUsed: session.metadata.totalTokensUsed,\n            createdAt: session.createdAt,\n            lastActivity: session.lastActivity,\n            expiresAt: session.expiresAt,\n            settings: session.settings,\n            isActive: session.isActive\n        };\n    } catch (error) {\n        logger.error(`Get session stats error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - CLEANUP EXPIRED SESSIONS (FOR SCHEDULED TASKS)\nconst cleanupExpiredSessions = async () => {\n    try {\n        const deletedCount = await TemporaryChat.cleanupExpiredSessions();\n        logger.info(`Cleaned up ${deletedCount} expired temporary chat sessions`);\n        return deletedCount;\n    } catch (error) {\n        logger.error(`Cleanup expired sessions error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - GET USER'S TEMPORARY SESSIONS (IF AUTHENTICATED)\nconst getUserTemporarySessions = async (userId) => {\n    try {\n        const sessions = await TemporaryChat.find({\n            userId: userId,\n            isActive: true,\n            expiresAt: { $gt: new Date() }\n        })\n            .select('sessionId title lastActivity expiresAt metadata.totalMessages metadata.totalTokensUsed')\n            .sort({ lastActivity: -1 });\n\n        return sessions;\n    } catch (error) {\n        logger.error(`Get user temporary sessions error: ${error.message}`);\n        throw error;\n    }\n};\n\nmodule.exports = {\n    createTemporarySession,\n    getTemporarySession,\n    sendTemporaryMessage,\n    updateTemporarySettings,\n    deleteTemporarySession,\n    extendSessionExpiry,\n    getSessionStats,\n    cleanupExpiredSessions,\n    getUserTemporarySessions\n};"}, "c88e96522c7a761d37d93ffdc01e01eef378ef29": {"t": 1785766961.227494, "n": 10857, "h": "1fff071e8dd0942f", "c": "//!SECTION - TEMPORARY CHAT SERVICE FOR HANDLING TEMPORARY AI CONVERSATIONS\n\nconst TemporaryChat = require('../models/temporaryChat');\nconst OpenAI = require('openai');\nconst { GoogleGenerativeAI } = require('@google/generative-ai');\nconst axios = require('axios');\nconst logger = require('../utils/logger');\n\n// Initialize AI services\nlet openaiChat = null;\nif (process.env.OPENAI_API_KEY) {\n    openaiChat = new OpenAI({\n        apiKey: process.env.OPENAI_API_KEY\n    });\n}\n\nconst genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY);\nconst DEEPSEEK_API_KEY = process.env.DEEPSEEK_API_KEY;\nconst DEEPSEEK_BASE_URL = 'https://api.deepseek.com/v1';\n\n//NOTE - CREATE NEW TEMPORARY CHAT SESSION\nconst createTemporarySession = async (options = {}) => {\n    try {\n        const session = await TemporaryChat.createTemporarySession({\n            userId: options.userId || null,\n            title: options.title || 'Temporary Chat',\n            aiModel: options.aiModel || 'gpt-3.5-turbo',\n            temperature: options.temperature || 0.7,\n            maxTokens: options.maxTokens || 1000,\n            systemPrompt: options.systemPrompt || 'You are a helpful AI assistant.',\n            ipAddress: options.ipAddress,\n            userAgent: options.userAgent\n        });\n\n        logger.info(`Created temporary chat session: ${session.sessionId}`);\n        return session;\n    } catch (error) {\n        logger.error(`Create temporary session error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - GET TEMPORARY CHAT SESSION\nconst getTemporarySession = async (sessionId) => {\n    try {\n        const session = await TemporaryChat.findActiveSession(sessionId);\n\n        if (!session) {\n            throw new Error('Session not found or expired');\n        }\n\n        return session;\n    } catch (error) {\n        logger.error(`Get temporary session error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - SEND MESSAGE IN TEMPORARY CHAT\nconst sendTemporaryMessage = async (sessionId, userMessage, options = {}) => {\n    try {\n        const session = await getTemporarySession(sessionId);\n\n        // Add user message to session\n        await session.addMessage('user', userMessage);\n\n        // Prepare conversation history for AI\n        const conversationHistory = session.messages.map(msg => ({\n            role: msg.role,\n            content: msg.content\n        }));\n\n        // Add system prompt if it's the first message\n        if (conversationHistory.length === 1) {\n            conversationHistory.unshift({\n                role: 'system',\n                content: session.settings.systemPrompt\n            });\n        }\n\n        // Get AI response based on selected model\n        const aiResponse = await generateAIResponse(\n            session.settings.aiModel,\n            conversationHistory,\n            {\n                temperature: session.settings.temperature,\n                maxTokens: session.settings.maxTokens\n            }\n        );\n\n        // Add AI response to session\n        await session.addMessage('assistant', aiResponse.content, {\n            model: session.settings.aiModel,\n            tokens: aiResponse.tokens,\n            processingTime: aiResponse.processingTime\n        });\n\n        // Reload session to get updated data\n        const updatedSession = await getTemporarySession(sessionId);\n\n        return {\n            sessionId: updatedSession.sessionId,\n            messages: updatedSession.messages,\n            metadata: updatedSession.metadata,\n            lastMessage: aiResponse\n        };\n\n    } catch (error) {\n        logger.error(`Send temporary message error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - GENERATE AI RESPONSE BASED ON MODEL\nconst generateAIResponse = async (model, conversationHistory, settings) => {\n    const startTime = Date.now();\n    let response, tokens = 0;\n\n    try {\n        switch (model) {\n            case 'gpt-3.5-turbo':\n            case 'gpt-4':\n            case 'gpt-4-turbo':\n                response = await generateOpenAIResponse(model, conversationHistory, settings);\n                break;\n\n            case 'gemini-pro':\n                response = await generateGeminiResponse(conversationHistory, settings);\n                break;\n\n            case 'deepseek-chat':\n                response = await generateDeepSeekResponse(conversationHistory, settings);\n                break;\n\n            default:\n                throw new Error(`Unsupported model: ${model}`);\n        }\n\n        const processingTime = Date.now() - startTime;\n\n        return {\n            content: response.content,\n            tokens: response.tokens || tokens,\n            processingTime\n        };\n\n    } catch (error) {\n        logger.error(`Generate AI response error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - OPENAI RESPONSE GENERATION\nconst generateOpenAIResponse = async (model, messages, settings) => {\n    try {\n        if (!openaiChat) {\n            throw new Error('OpenAI API key not configured');\n        }\n\n        const completion = await openaiChat.chat.completions.create({\n            model: model,\n            messages: messages,\n            temperature: settings.temperature,\n            max_tokens: settings.maxTokens,\n        });\n\n        return {\n            content: completion.choices[0].message.content,\n            tokens: completion.usage?.total_tokens || 0\n        };\n    } catch (error) {\n        logger.error(`OpenAI API error: ${error.message}`);\n        throw new Error('Failed to generate response from OpenAI');\n    }\n};\n\n//NOTE - GEMINI RESPONSE GENERATION\nconst generateGeminiResponse = async (messages, settings) => {\n    try {\n        const model = genAI.getGenerativeModel({ model: 'gemini-pro' });\n\n        // Convert conversation to Gemini format\n        const conversation = messages\n            .filter(msg => msg.role !== 'system')\n            .map(msg => msg.content)\n            .join('\\n\\nUser: ');\n\n        const result = await model.generateContent(conversation);\n        const response = await result.response;\n\n        return {\n            content: response.text(),\n            tokens: 0 // Gemini doesn't provide token count in free tier\n        };\n    } catch (error) {\n        logger.error(`Gemini API error: ${error.message}`);\n        throw new Error('Failed to generate response from Gemini');\n    }\n};\n\n//NOTE - DEEPSEEK RESPONSE GENERATION\nconst generateDeepSeekResponse = async (messages, settings) => {\n    try {\n        const response = await axios.post(\n            `${DEEPSEEK_BASE_URL}/chat/completions`,\n            {\n                model: 'deepseek-chat',\n                messages: messages,\n                temperature: settings.temperature,\n                max_tokens: settings.maxTokens,\n                stream: false\n            },\n            {\n                headers: {\n                    'Content-Type': 'application/json',\n                    'Authorization': `Bearer ${DEEPSEEK_API_KEY}`\n                }\n            }\n        );\n\n        return {\n            content: response.data.choices[0].message.content,\n            tokens: response.data.usage?.total_tokens || 0\n        };\n    } catch (error) {\n        logger.error(`DeepSeek API error: ${error.message}`);\n        throw new Error('Failed to generate response from DeepSeek');\n    }\n};\n\n//NOTE - UPDATE TEMPORARY CHAT SETTINGS\nconst updateTemporarySettings = async (sessionId, newSettings) => {\n    try {\n        const session = await getTemporarySession(sessionId);\n\n        const allowedSettings = ['aiModel', 'temperature', 'maxTokens', 'systemPrompt'];\n        const filteredSettings = {};\n\n        for (const key of allowedSettings) {\n            if (newSettings[key] !== undefined) {\n                filteredSettings[key] = newSettings[key];\n            }\n        }\n\n        await session.updateSettings(filteredSettings);\n\n        return session;\n    } catch (error) {\n        logger.error(`Update temporary settings error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - DELETE TEMPORARY CHAT SESSION\nconst deleteTemporarySession = async (sessionId) => {\n    try {\n        const result = await TemporaryChat.findOneAndDelete({ sessionId });\n\n        if (!result) {\n            throw new Error('Session not found');\n        }\n\n        logger.info(`Deleted temporary chat session: ${sessionId}`);\n        return { success: true, sessionId };\n    } catch (error) {\n        logger.error(`Delete temporary session error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - EXTEND SESSION EXPIRY\nconst extendSessionExpiry = async (sessionId, hours = 24) => {\n    try {\n        const session = await getTemporarySession(sessionId);\n        await session.extendExpiry(hours);\n\n        return session;\n    } catch (error) {\n        logger.error(`Extend session expiry error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - GET SESSION STATISTICS\nconst getSessionStats = async (sessionId) => {\n    try {\n        const session = await getTemporarySession(sessionId);\n\n        return {\n            sessionId: session.sessionId,\n            totalMessages: session.metadata.totalMessages,\n            totalTokensUsed: session.metadata.totalTokensUsed,\n            createdAt: session.createdAt,\n            lastActivity: session.lastActivity,\n            expiresAt: session.expiresAt,\n            settings: session.settings,\n            isActive: session.isActive\n        };\n    } catch (error) {\n        logger.error(`Get session stats error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - CLEANUP EXPIRED SESSIONS (FOR SCHEDULED TASKS)\nconst cleanupExpiredSessions = async () => {\n    try {\n        const deletedCount = await TemporaryChat.cleanupExpiredSessions();\n        logger.info(`Cleaned up ${deletedCount} expired temporary chat sessions`);\n        return deletedCount;\n    } catch (error) {\n        logger.error(`Cleanup expired sessions error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - GET USER'S TEMPORARY SESSIONS (IF AUTHENTICATED)\nconst getUserTemporarySessions = async (userId) => {\n    try {\n        const sessions = await TemporaryChat.find({\n            userId: userId,\n            isActive: true,\n            expiresAt: { $gt: new Date() }\n        })\n            .select('sessionId title lastActivity expiresAt metadata.totalMessages metadata.totalTokensUsed')\n            .sort({ lastActivity: -1 });\n\n        return sessions;\n    } catch (error) {\n        logger.error(`Get user temporary sessions error: ${error.message}`);\n        throw error;\n    }\n};\n\nmodule.exports = {\n    createTemporarySession,\n    getTemporarySession,\n    sendTemporaryMessage,\n    updateTemporarySettings,\n    deleteTemporarySession,\n    extendSessionExpiry,\n    getSessionStats,\n    cleanupExpiredSessions,\n    getUserTemporarySessions\n};"}, "3c6241e421588a4433960a5d85367f327b42cf3a": {"t": 1785766964.4291549, "n": 10692, "h": "493395d49a044546", "c": "//!SECTION - TEMPORARY CHAT SERVICE FOR HANDLING TEMPORARY AI CONVERSATIONS\n\nconst TemporaryChat = require('../models/temporaryChat');\nconst OpenAI = require('openai');\nconst { GoogleGenerativeAI } = require('@google/generative-ai');\nconst axios = require('axios');\nconst logger = require('../utils/logger');\n\n// Initialize AI services\nconst openaiChat = new OpenAI({\n    apiKey: process.env.OPENAI_API_KEY\n});\n\nconst genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY);\nconst DEEPSEEK_API_KEY = process.env.DEEPSEEK_API_KEY;\nconst DEEPSEEK_BASE_URL = 'https://api.deepseek.com/v1';\n\n//NOTE - CREATE NEW TEMPORARY CHAT SESSION\nconst createTemporarySession = async (options = {}) => {\n    try {\n        const session = await TemporaryChat.createTemporarySession({\n            userId: options.userId || null,\n            title: options.title || 'Temporary Chat',\n            aiModel: options.aiModel || 'gpt-3.5-turbo',\n            temperature: options.temperature || 0.7,\n            maxTokens: options.maxTokens || 1000,\n            systemPrompt: options.systemPrompt || 'You are a helpful AI assistant.',\n            ipAddress: options.ipAddress,\n            userAgent: options.userAgent\n        });\n\n        logger.info(`Created temporary chat session: ${session.sessionId}`);\n        return session;\n    } catch (error) {\n        logger.error(`Create temporary session error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - GET TEMPORARY CHAT SESSION\nconst getTemporarySession = async (sessionId) => {\n    try {\n        const session = await TemporaryChat.findActiveSession(sessionId);\n\n        if (!session) {\n            throw new Error('Session not found or expired');\n        }\n\n        return session;\n    } catch (error) {\n        logger.error(`Get temporary session error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - SEND MESSAGE IN TEMPORARY CHAT\nconst sendTemporaryMessage = async (sessionId, userMessage, options = {}) => {\n    try {\n        const session = await getTemporarySession(sessionId);\n\n        // Add user message to session\n        await session.addMessage('user', userMessage);\n\n        // Prepare conversation history for AI\n        const conversationHistory = session.messages.map(msg => ({\n            role: msg.role,\n            content: msg.content\n        }));\n\n        // Add system prompt if it's the first message\n        if (conversationHistory.length === 1) {\n            conversationHistory.unshift({\n                role: 'system',\n                content: session.settings.systemPrompt\n            });\n        }\n\n        // Get AI response based on selected model\n        const aiResponse = await generateAIResponse(\n            session.settings.aiModel,\n            conversationHistory,\n            {\n                temperature: session.settings.temperature,\n                maxTokens: session.settings.maxTokens\n            }\n        );\n\n        // Add AI response to session\n        await session.addMessage('assistant', aiResponse.content, {\n            model: session.settings.aiModel,\n            tokens: aiResponse.tokens,\n            processingTime: aiResponse.processingTime\n        });\n\n        // Reload session to get updated data\n        const updatedSession = await getTemporarySession(sessionId);\n\n        return {\n            sessionId: updatedSession.sessionId,\n            messages: updatedSession.messages,\n            metadata: updatedSession.metadata,\n            lastMessage: aiResponse\n        };\n\n    } catch (error) {\n        logger.error(`Send temporary message error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - GENERATE AI RESPONSE BASED ON MODEL\nconst generateAIResponse = async (model, conversationHistory, settings) => {\n    const startTime = Date.now();\n    let response, tokens = 0;\n\n    try {\n        switch (model) {\n            case 'gpt-3.5-turbo':\n            case 'gpt-4':\n            case 'gpt-4-turbo':\n                response = await generateOpenAIResponse(model, conversationHistory, settings);\n                break;\n\n            case 'gemini-pro':\n                response = await generateGeminiResponse(conversationHistory, settings);\n                break;\n\n            case 'deepseek-chat':\n                response = await generateDeepSeekResponse(conversationHistory, settings);\n                break;\n\n            default:\n                throw new Error(`Unsupported model: ${model}`);\n        }\n\n        const processingTime = Date.now() - startTime;\n\n        return {\n            content: response.content,\n            tokens: response.tokens || tokens,\n            processingTime\n        };\n\n    } catch (error) {\n        logger.error(`Generate AI response error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - OPENAI RESPONSE GENERATION\nconst generateOpenAIResponse = async (model, messages, settings) => {\n    try {\n        const completion = await openaiChat.chat.completions.create({\n            model: model,\n            messages: messages,\n            temperature: settings.temperature,\n            max_tokens: settings.maxTokens,\n        });\n\n        return {\n            content: completion.choices[0].message.content,\n            tokens: completion.usage?.total_tokens || 0\n        };\n    } catch (error) {\n        logger.error(`OpenAI API error: ${error.message}`);\n        throw new Error('Failed to generate response from OpenAI');\n    }\n};\n\n//NOTE - GEMINI RESPONSE GENERATION\nconst generateGeminiResponse = async (messages, settings) => {\n    try {\n        const model = genAI.getGenerativeModel({ model: 'gemini-pro' });\n\n        // Convert conversation to Gemini format\n        const conversation = messages\n            .filter(msg => msg.role !== 'system')\n            .map(msg => msg.content)\n            .join('\\n\\nUser: ');\n\n        const result = await model.generateContent(conversation);\n        const response = await result.response;\n\n        return {\n            content: response.text(),\n            tokens: 0 // Gemini doesn't provide token count in free tier\n        };\n    } catch (error) {\n        logger.error(`Gemini API error: ${error.message}`);\n        throw new Error('Failed to generate response from Gemini');\n    }\n};\n\n//NOTE - DEEPSEEK RESPONSE GENERATION\nconst generateDeepSeekResponse = async (messages, settings) => {\n    try {\n        const response = await axios.post(\n            `${DEEPSEEK_BASE_URL}/chat/completions`,\n            {\n                model: 'deepseek-chat',\n                messages: messages,\n                temperature: settings.temperature,\n                max_tokens: settings.maxTokens,\n                stream: false\n            },\n            {\n                headers: {\n                    'Content-Type': 'application/json',\n                    'Authorization': `Bearer ${DEEPSEEK_API_KEY}`\n                }\n            }\n        );\n\n        return {\n            content: response.data.choices[0].message.content,\n            tokens: response.data.usage?.total_tokens || 0\n        };\n    } catch (error) {\n        logger.error(`DeepSeek API error: ${error.message}`);\n        throw new Error('Failed to generate response from DeepSeek');\n    }\n};\n\n//NOTE - UPDATE TEMPORARY CHAT SETTINGS\nconst updateTemporarySettings = async (sessionId, newSettings) => {\n    try {\n        const session = await getTemporarySession(sessionId);\n\n        const allowedSettings = ['aiModel', 'temperature', 'maxTokens', 'systemPrompt'];\n        const filteredSettings = {};\n\n        for (const key of allowedSettings) {\n            if (newSettings[key] !== undefined) {\n                filteredSettings[key] = newSettings[key];\n            }\n        }\n\n        await session.updateSettings(filteredSettings);\n\n        return session;\n    } catch (error) {\n        logger.error(`Update temporary settings error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - DELETE TEMPORARY CHAT SESSION\nconst deleteTemporarySession = async (sessionId) => {\n    try {\n        const result = await TemporaryChat.findOneAndDelete({ sessionId });\n\n        if (!result) {\n            throw new Error('Session not found');\n        }\n\n        logger.info(`Deleted temporary chat session: ${sessionId}`);\n        return { success: true, sessionId };\n    } catch (error) {\n        logger.error(`Delete temporary session error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - EXTEND SESSION EXPIRY\nconst extendSessionExpiry = async (sessionId, hours = 24) => {\n    try {\n        const session = await getTemporarySession(sessionId);\n        await session.extendExpiry(hours);\n\n        return session;\n    } catch (error) {\n        logger.error(`Extend session expiry error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - GET SESSION STATISTICS\nconst getSessionStats = async (sessionId) => {\n    try {\n        const session = await getTemporarySession(sessionId);\n\n        return {\n            sessionId: session.sessionId,\n            totalMessages: session.metadata.totalMessages,\n            totalTokensUsed: session.metadata.totalTokensUsed,\n            createdAt: session.createdAt,\n            lastActivity: session.lastActivity,\n            expiresAt: session.expiresAt,\n            settings: session.settings,\n            isActive: session.isActive\n        };\n    } catch (error) {\n        logger.error(`Get session stats error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - CLEANUP EXPIRED SESSIONS (FOR SCHEDULED TASKS)\nconst cleanupExpiredSessions = async () => {\n    try {\n        const deletedCount = await TemporaryChat.cleanupExpiredSessions();\n        logger.info(`Cleaned up ${deletedCount} expired temporary chat sessions`);\n        return deletedCount;\n    } catch (error) {\n        logger.error(`Cleanup expired sessions error: ${error.message}`);\n        throw error;\n    }\n};\n\n//NOTE - GET USER'S TEMPORARY SESSIONS (IF AUTHENTICATED)\nconst getUserTemporarySessions = async (userId) => {\n    try {\n        const sessions = await TemporaryChat.find({\n            userId: userId,\n            isActive: true,\n            expiresAt: { $gt: new Date() }\n        })\n            .select('sessionId title lastActivity expiresAt metadata.totalMessages metadata.totalTokensUsed')\n            .sort({ lastActivity: -1 });\n\n        return sessions;\n    } catch (error) {\n        logger.error(`Get user temporary sessions error: ${error.message}`);\n        throw error;\n    }\n};\n\nmodule.exports = {\n    createTemporarySession,\n    getTemporarySession,\n    sendTemporaryMessage,\n    updateTemporarySettings,\n    deleteTemporarySession,\n    extendSessionExpiry,\n    getSessionStats,\n    cleanupExpiredSessions,\n    getUserTemporarySessions\n};"}}}}