{"nodes":{"61057378712615":{"id":"61057378712615","x":-105.7097141273154,"y":111.47259997251062,"z":0,"htmlParent":"#outlineWrapperLower","fx":-105.7097141273154,"fy":111.47259997251062,"fz":0,"val":0,"ap":1,"ports":{},"links":[{"id":"49892944396611","strength":1}],"colorRef":"#9fbbd1","name":"input","ui":true,"vx":0,"vy":0,"vz":0,"remainingLinks":-1,"selected":true,"lastSparkID":-1,"lastProcessedSparkID":-2,"html":"|||lt|||div class=\"htmlUI\"|||gt||||||lt|||label class=\"goChatInput\"|||gt|||Chat Input|||lt|||/label|||gt|||\n |||lt|||textarea id=\"textarea-[node.id]\" style=\"height:auto;\" nodeid=\"[node.id]\" class=\"goButtonTextarea\" placeholder=\"Type something...\"|||gt||||||lt|||/textarea|||gt||||||lt|||br|||gt|||\n|||lt|||/div|||gt|||\n|||lt|||div class=\"goButtonWrapper\"|||gt|||\n |||lt|||button onclick=\"sparkNode([node.id])\" class=\"goButton\"|||gt|||Go|||lt|||/button|||gt|||\n|||lt|||/div|||gt|||\n\n","js":"jQuery(\"#helpsheet\").hide()\n\n\nnode.ports.systemPrompt = \"You are LiveMindGPT. You will perform as requested whilst remaining professional at all times.\"\nnode.ports.temperature = 0.9;\nnode.ports.model = \"sonnet\";\nnode.ports.latestInput = jQuery(\"#textarea-\" + node.id).val();\n\n//Let|||apos|||s see if we have a settings object we can use to set the model\nif ($(\"#gptmodel\").val()) {\n node.ports.model = $(\"#gptmodel\").val();\n node.ports.writingModel = $(\"#gptmodel\").val();\n}\n\nnode.ports.latestInput = jQuery(\"#textarea-\" + node.id).val()\n\nlogMessage(node.ports.latestInput, \"user\")\njQuery(\"#textarea-\" + node.id).val(\"\"); //clear text box\n\n","lastSparkTime":1741145636670},"49892944396611":{"id":"49892944396611","x":-25.969544796933764,"y":145.29672360039154,"z":0,"fx":-25.969544796933764,"fy":145.29672360039154,"fz":0,"val":0,"ap":1,"ports":{},"links":[{"id":"27324225997487","strength":1}],"colorRef":"#9fbbd1","vx":0,"vy":0,"vz":0,"ui":false,"selected":true,"apInputId":"61057378712615","lastSparkID":-1,"lastProcessedSparkID":-2,"remainingLinks":-1,"name":"stream","apInputHistory":["61057378712615","61057378712615","61057378712615"],"lastSparkTime":1741145636775,"html":"|||lt|||label|||gt|||GPT API|||lt|||/label|||gt||||||lt|||br|||gt|||\n","js":"// Define languages array with codes and names\nconst languages = [\n { code: \"es\", name: \"Spanish\" },\n { code: \"fr\", name: \"French\" },\n { code: \"ja\", name: \"Japanese\" },\n { code: \"zh-CN\", name: \"Chinese\" }\n];\n\n// Function to download text as a file\nfunction downloadText(text, filename) {\n const blob = new Blob([text], { type: |||apos|||application/json|||apos||| });\n const url = URL.createObjectURL(blob);\n const a = document.createElement(|||apos|||a|||apos|||);\n a.href = url;\n a.download = filename;\n document.body.appendChild(a);\n a.click();\n document.body.removeChild(a);\n URL.revokeObjectURL(url);\n}\n\n// Main translation function that processes all languages\nasync function processAllLanguages() {\n const data = node.ports.latestInput; // Use the input as the data to translate\n let lastTranslation = data; // Start with original data\n \n for (const lang of languages) {\n // Log that we|||apos|||re processing this language\n let processLogId = |||apos|||reply-|||apos|||+getRandomInt(10000000);\n logMessage(`Processing ${lang.name}`, \"robot\", undefined, processLogId);\n \n //Define variables\n let logCleanText = getLogClean(jQuery(\"#log-\" + getNodeByName(\"multichatlog\").id));\n let inputVal = \"Chat History:\\n\" + logCleanText;\n let streamId = |||apos|||reply-|||apos|||+getRandomInt(10000000);\n let logId = getNodeByName(\"multichatlog\").id;\n \n //Log the Reply (This logs an empty reply which is streamed into)\n logMessage(\"\", \"robot\", undefined, streamId);\n \n //Build the Prompt\n finalPrompt = logCleanText;\n finalPrompt += \"user: \" + data + \"\\nrobot:\";\n \n // Create system prompt for the current language\n const systemPrompt = `This is the language pack for Eggy, our Dragon Pet Simulator. Please return this document in full, with all variables perfectly in tact, but with the translations, using appropriate phrases for maximum cultural appropriateness. Do not include any additional text or explanations in your reply. Reply exclusively in JSON format, reproducing the input data, line by line, PRECISELY, using the PRESICE property names, but with the data translated into the corresponding language.\nLanguage: ${lang.name}\nData:`;\n \n //Call GPT\n await streamGPTInline(\n node.id, \n |||apos|||#|||apos||| + streamId, \n finalPrompt, \n undefined, \n node.ports.temperature, \n node.ports.model, \n undefined, \n undefined, \n undefined, \n undefined, \n undefined, \n undefined, \n data, \n undefined, \n systemPrompt, \n undefined\n );\n \n // Get the translation result\n const translatedElement = document.getElementById(streamId);\n if (translatedElement) {\n const translatedText = translatedElement.textContent;\n \n // Download the translation result\n downloadText(translatedText, `${lang.code}.json`);\n console.log(`Downloaded translation for ${lang.name}`);\n \n // Log that we|||apos|||re processing QA for this language\n let qaLogId = |||apos|||reply-|||apos|||+getRandomInt(10000000);\n logMessage(`Processing ${lang.name} QA`, \"robot\", undefined, qaLogId);\n \n // Now do QA pass - convert back to English\n let qaStreamId = |||apos|||reply-|||apos|||+getRandomInt(10000000);\n \n //Log the Reply for QA pass\n logMessage(\"\", \"robot\", undefined, qaStreamId);\n \n // Create system prompt for QA (back to English)\n const qaSystemPrompt = `This is the language pack for Eggy, our Dragon Pet Simulator. Please return this document in full, with all variables perfectly in tact, but with the translations, using appropriate phrases for maximum cultural appropriateness. Do not include any additional text or explanations in your reply. Reply exclusively in JSON format, reproducing the input data, line by line, PRECISELY, using the PRESICE property names, but with the data translated into English from the ${lang.name} input.\nLanguage: English\nData:`;\n \n //Build the QA Prompt\n let qaPrompt = logCleanText;\n qaPrompt += \"user: \" + translatedText + \"\\nrobot:\";\n \n //Call GPT for QA\n await streamGPTInline(\n node.id, \n |||apos|||#|||apos||| + qaStreamId, \n qaPrompt, \n undefined, \n node.ports.temperature, \n node.ports.model, \n undefined, \n undefined, \n undefined, \n undefined, \n undefined, \n undefined, \n translatedText, \n undefined, \n qaSystemPrompt, \n undefined\n );\n \n // Download the QA result\n const qaElement = document.getElementById(qaStreamId);\n if (qaElement) {\n downloadText(qaElement.textContent, `${lang.code}-QA.json`);\n console.log(`Downloaded QA translation for ${lang.name}`);\n }\n \n // Store this translation for the next iteration\n lastTranslation = translatedText;\n }\n }\n \n // Log completion\n let finalStreamId = |||apos|||reply-|||apos|||+getRandomInt(10000000);\n logMessage(\"All Done!\", \"robot\", undefined, finalStreamId);\n}\n\n// Start the translation process\nprocessAllLanguages();"},"43482471473467":{"id":"43482471473467","x":70.73560705993447,"y":115.22916512423888,"z":0,"fx":70.73560705993447,"fy":115.22916512423888,"fz":0,"val":0,"ap":1,"ports":{},"links":[],"colorRef":"#9fbbd1","vx":0,"vy":0,"vz":0,"name":"multichatlog","ui":true,"remainingLinks":-1,"html":"|||lt|||div class=\"htmlUI\"|||gt|||\n\n|||lt|||!-- label|||gt|||Log|||lt|||/label|||gt||||||lt|||br --|||gt|||\n|||lt|||div id=\"helpsheet\"|||gt|||Paste your JSON file in and hit enter and it will translate it into the predefined language sets ES, FR, JA, zh-CN and download the translation as well as a blind translation back to English for QA|||lt|||/div|||gt|||\n|||lt|||div id=\"log-[node.id]\"|||gt||||||lt|||/div|||gt||||||lt|||br|||gt|||\n|||lt|||/div|||gt|||\n|||lt|||button onclick=|||apos|||streamAllowed = {}; jQuery(\"#log-[node.id]\").html(\"\");pauseAllSpeech();controlMusic(\"fadeout\");toggleNodeVisibility(false, \"agentInfoNode\");resetGraphWeights();|||apos||||||gt|||Clear|||lt|||/button|||gt|||","js":"node.ports.latestLogID = node.id;\n\ngetNodeByName(\"agentinput\").ports.latestInput = node.ports.latestInput\n//outputVal = jQuery(\"#textarea-\" + node.apInputId).val();\n//\njQuery(\".robotTyping\").remove();\n//jQuery(function(){\n jQuery(\".robotDialog a\").attr(\"target\",\"_blank\");\n//});\n\nclearBelow = |||apos||||||lt|||div class=\"clearBelow\"|||gt||||||lt|||/div|||gt||||||apos|||;\njQuery(\"#log-\" + node.id).append( clearBelow);\n\n\ngetAndShowCurrentPoints();\n\n"},"27324225997487":{"id":"27324225997487","x":60.11063175561562,"y":154.27972985229871,"z":0,"fx":60.11063175561562,"fy":154.27972985229871,"fz":0,"val":0,"ap":1,"ports":{},"links":[],"colorRef":"#9fbbd1","vx":0,"vy":0,"vz":0,"selected":true,"remainingLinks":-1,"ui":false,"apInputId":"49892944396611","lastSparkID":-1,"lastProcessedSparkID":-2,"html":"Energy Dissipate","js":"//Energy can be dissipated by:\n//1. Being transferred to other nodes\n//2. Performing Actions (code)\n//3. Manually setting the energy (val) to zero\n//This node isn|||apos|||t required to dissipate energy.\n//You can remove the link to this node. \n//It is here only to demonstrate.\n\nnode.val = 0;","apInputHistory":["49892944396611","49892944396611","49892944396611"],"lastSparkTime":1741145636883}},"settings":{"htmlMode":2,"cameraPosition":{"x":30.93592547124716,"y":88.64332490799683,"z":773.7809374999995},"cameraRotation":{"x":-5.509642597728901e-17,"y":0,"z":0}}} oik