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lastProxyFetch < PROXY_CACHE_TTL) {\n return proxyCache;\n }\n\n try {\n const response = await fetch(\"https://free.redscrape.com/api/proxies\");\n const text = await response.text();\n proxyCache = text.trim().split(\"\\n\").filter((p) => p.trim());\n lastProxyFetch = now;\n return proxyCache;\n } catch (error) {\n console.error(\"Error fetching proxy list:\", error);\n return proxyCache.length > 0 ? proxyCache : [];\n }\n}\n\n// Get random proxy\nasync function getRandomProxy(): Promise {\n const proxies = await fetchProxyList();\n if (proxies.length === 0) return null;\n return proxies[Math.floor(Math.random() * proxies.length)];\n}\n\n// Make request with proxy rotation\nasync function fetchWithProxy(\n url: string,\n options: RequestInit = {},\n): Promise {\n const proxy = await getRandomProxy();\n\n const userAgents = [\n \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36\",\n \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36\",\n \"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36\",\n ];\n\n const randomUserAgent =\n userAgents[Math.floor(Math.random() * userAgents.length)];\n\n // If we have a proxy, add it to the request headers\n const headers: Record = {\n \"User-Agent\": randomUserAgent,\n \"Accept\": \"application/json, text/plain, */*\",\n \"Accept-Language\": \"en-US,en;q=0.9\",\n ...options.headers as Record,\n };\n\n if (proxy) {\n headers[\"X-Forwarded-For\"] = proxy.split(\":\")[0];\n headers[\"X-Proxy-Used\"] = proxy;\n }\n\n return await fetch(url, {\n ...options,\n headers,\n });\n}\n\n// Clean response\nfunction cleanResponse(text: string): { message: string; think?: string } {\n let think: string | undefined;\n let cleanedMessage = text;\n\n const thinkRegex =\n /```think\\n([\\s\\S]*?)\\n```|\\[THINK\\]([\\s\\S]*?)\\[\\/THINK\\]|([\\s\\S]*?)<\\/thinking>|```reasoning\\n([\\s\\S]*?)\\n```/gi;\n const thinkMatches = [...text.matchAll(thinkRegex)];\n\n if (thinkMatches.length > 0) {\n think = thinkMatches.map((m) => m[1] || m[2] || m[3] || m[4]).join(\"\\n\")\n .trim();\n cleanedMessage = text.replace(thinkRegex, \"\").trim();\n }\n\n // Try to extract JSON response\n try {\n const jsonMatch = cleanedMessage.match(/\\{[\\s\\S]*\\}/);\n if (jsonMatch) {\n const parsed = JSON.parse(jsonMatch[0]);\n if (parsed.message || parsed.response || parsed.content) {\n cleanedMessage = parsed.message || parsed.response || parsed.content;\n }\n }\n } catch {\n // Not JSON\n }\n\n cleanedMessage = cleanedMessage.replace(/```[\\s\\S]*?```/g, \"\").trim();\n cleanedMessage = cleanedMessage.replace(/\\n{3,}/g, \"\\n\\n\").trim();\n\n return {\n message: cleanedMessage ||\n \"I received your message but couldn't generate a proper response.\",\n think,\n };\n}\n\n// Build conversation with reply detection\nfunction buildConversationContext(\n prompt: string,\n conversationId?: string,\n replyToMessageId?: string,\n): { messages: ChatMessage[]; newConversationId: string } {\n let conversation: ConversationContext;\n let newConversationId: string;\n\n if (conversationId && conversations.has(conversationId)) {\n conversation = conversations.get(conversationId)!;\n newConversationId = conversationId;\n\n if (replyToMessageId) {\n const messageIndex = conversation.messages.findIndex(\n (m) => m.messageId === replyToMessageId,\n );\n\n if (messageIndex !== -1) {\n const contextMessages: string[] = [];\n const startIndex = Math.max(0, messageIndex - 3);\n\n for (let i = startIndex; i <= messageIndex; i++) {\n const msg = conversation.messages[i];\n if (msg.role === \"user\") {\n contextMessages.push(`User said: \"${msg.content}\"`);\n } else {\n contextMessages.push(`You said: \"${msg.content}\"`);\n }\n }\n\n contextMessages.push(\n `Now the user replied to your last message saying: \"${prompt}\"`,\n );\n const fullPrompt = contextMessages.join(\"\\n\\n\") +\n \"\\n\\nPlease respond appropriately.\";\n\n conversation.messages.push({\n role: \"user\",\n content: fullPrompt,\n messageId: crypto.randomUUID(),\n });\n\n return { messages: conversation.messages, newConversationId };\n }\n }\n\n conversation.messages.push({\n role: \"user\",\n content: prompt,\n messageId: crypto.randomUUID(),\n });\n\n return { messages: conversation.messages, newConversationId };\n }\n\n newConversationId = crypto.randomUUID();\n const newConversation: ConversationContext = {\n messages: [{\n role: \"user\",\n content: prompt,\n messageId: crypto.randomUUID(),\n }],\n conversationId: newConversationId,\n };\n\n conversations.set(newConversationId, newConversation);\n return { messages: newConversation.messages, newConversationId };\n}\n\n// Send to chatbot API\nasync function sendToChatbot(\n messages: ChatMessage[],\n model: string,\n conversationId: string,\n): Promise<{ response: string; botMessageId: string }> {\n try {\n const lastMessage = messages[messages.length - 1];\n\n // Map model names\n const modelMap: Record = {\n \"chatgpt-5-4\": \"chatgpt-5-4\",\n \"gemini_3_pro\": \"gemini_3_pro\",\n };\n\n const apiModel = modelMap[model] || \"gemini_3_pro\";\n\n console.log(\n `🤖 Sending to ${apiModel} with conversation ${conversationId}`,\n );\n\n const response = await fetchWithProxy(\n \"https://chatbotsplace.com/api/chatgpt\",\n {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n message: lastMessage.content,\n conversationId: conversationId,\n version: apiModel,\n uploadImageUrls: [],\n uploadFileKeys: [],\n flow: \"chat\",\n }),\n },\n );\n\n const data = await response.json();\n const botMessageId = data.messageId;\n\n if (!botMessageId) {\n throw new Error(\"No messageId received from API\");\n }\n\n // Fetch the prompt stream\n const streamUrl =\n `https://chatbotsplace.com/api/prompt-stream?messageId=${botMessageId}&conversationId=${conversationId}`;\n const streamResponse = await fetchWithProxy(streamUrl);\n\n let responseText = \"\";\n const contentType = streamResponse.headers.get(\"content-type\");\n\n if (contentType?.includes(\"application/json\")) {\n const streamData = await streamResponse.json();\n responseText = JSON.stringify(streamData);\n } else {\n responseText = await streamResponse.text();\n }\n\n return { response: responseText, botMessageId };\n } catch (error) {\n console.error(\"Error sending to chatbot:\", error);\n throw new Error(`Failed to get response from ${model}: ${error.message}`);\n }\n}\n\n// Main handler for Val Town\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const pathname = url.pathname;\n\n // CORS headers\n const corsHeaders = {\n \"Access-Control-Allow-Origin\": \"*\",\n \"Access-Control-Allow-Methods\": \"GET, POST, OPTIONS\",\n \"Access-Control-Allow-Headers\": \"Content-Type\",\n };\n\n // Handle preflight\n if (req.method === \"OPTIONS\") {\n return new Response(null, { headers: corsHeaders });\n }\n\n // Only handle GET requests to /api or root\n if (\n req.method !== \"GET\" ||\n (pathname !== \"/api\" && pathname !== \"/\" && pathname !== \"\")\n ) {\n return new Response(JSON.stringify({ error: \"Not Found\" }), {\n status: 404,\n headers: { \"Content-Type\": \"application/json\", ...corsHeaders },\n });\n }\n\n // Get query parameters\n const prompt = url.searchParams.get(\"prompt\");\n const model = url.searchParams.get(\"model\") || \"gemini_3_pro\";\n const conversationId = url.searchParams.get(\"conversationId\") || undefined;\n const replyToMessageId = url.searchParams.get(\"replyTo\") || undefined;\n\n // Validate required parameters\n if (!prompt) {\n const errorResponse: ApiResponse = {\n success: false,\n error: \"Missing required parameter: prompt\",\n };\n return new Response(JSON.stringify(errorResponse), {\n status: 400,\n headers: { \"Content-Type\": \"application/json\", ...corsHeaders },\n });\n }\n\n // Validate model\n if (![\"chatgpt-5-4\", \"gemini_3_pro\"].includes(model)) {\n const errorResponse: ApiResponse = {\n success: false,\n error: \"Invalid model. Choose 'chatgpt-5-4' or 'gemini_3_pro'\",\n };\n return new Response(JSON.stringify(errorResponse), {\n status: 400,\n headers: { \"Content-Type\": \"application/json\", ...corsHeaders },\n });\n }\n\n try {\n // Build conversation context with reply detection\n const { messages, newConversationId } = buildConversationContext(\n prompt,\n conversationId,\n replyToMessageId,\n );\n\n console.log(`🤖 Using model: ${model}`);\n console.log(`💬 Conversation ID: ${newConversationId}`);\n console.log(`📝 Prompt: ${prompt}`);\n if (replyToMessageId) {\n console.log(`↩️ Replying to message: ${replyToMessageId}`);\n }\n\n // Send to chatbot API\n const { response, botMessageId } = await sendToChatbot(\n messages,\n model,\n newConversationId,\n );\n\n // Clean the response\n const { message, think } = cleanResponse(response);\n\n // Update conversation with bot's response\n const conversation = conversations.get(newConversationId);\n if (conversation) {\n conversation.messages.push({\n role: \"assistant\",\n content: message,\n messageId: botMessageId,\n });\n conversation.lastBotMessageId = botMessageId;\n conversations.set(newConversationId, conversation);\n }\n\n // Prepare API response\n const apiResponse: ApiResponse = {\n success: true,\n message: message,\n model: model,\n conversationId: newConversationId,\n ...(think && { think }),\n };\n\n return new Response(JSON.stringify(apiResponse), {\n status: 200,\n headers: { \"Content-Type\": \"application/json\", ...corsHeaders },\n });\n } catch (error) {\n console.error(\"API Error:\", error);\n const errorResponse: ApiResponse = {\n success: false,\n error: error instanceof Error ? error.message : \"Internal server error\",\n };\n return new Response(JSON.stringify(errorResponse), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\", ...corsHeaders },\n });\n }\n}","deleted","label",[103],"permalink","https://www.val.town/x/zyloxtube/gem_gpt_api/code/main.ts","extension","actionData","errors"]