Saga Forge

[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_152":153,"_154":155},"routes/_app.x.$handle.$name",{"_11":12,"_13":14,"_15":16,"_18":19,"_17":-7,"_115":-5,"_20":116,"_22":117,"_118":119,"_120":121,"_25":122,"_24":-5,"_123":-5,"_124":-5,"_125":53,"_126":127,"_128":44,"_129":-5,"_130":-5,"_131":132},"routes/_app.x.$handle.$name.branch.$branch.code.$",{"_11":12,"_13":14,"_15":16,"_17":-7,"_18":19,"_20":21,"_22":23,"_24":-7,"_25":26,"_27":-5,"_28":-5,"_29":-5,"_30":-5,"_31":-5},"handle","legal","name","storyteller","branchName","main","version","path","","project",{"_33":61,"_13":14,"_45":62,"_63":-5,"_64":53,"_65":66,"_67":66,"_68":-5,"_69":-5,"_70":71,"_72":37,"_73":44,"_74":44,"_75":-5,"_76":77,"_78":79,"_80":-5,"_81":-5,"_82":-5,"_83":-5,"_84":85,"_86":85,"_87":88,"_89":88,"_90":88,"_91":85,"_92":85,"_93":94,"_95":96,"_97":98,"_99":53},"tree",[56],"file","contents",[32],"upstream","pull","ahead","behind","envVars",{"_33":34,"_13":35,"_36":37,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_17":47,"_48":49,"_50":51,"_52":53,"_54":-5,"_18":55},"id","bc0282fc-5435-11f0-abf8-f69ea79377d9","main.tsx","fileId","a43f3246-5435-11f0-af1b-f69ea79377d9","parentId","branchId","a43d7118-5435-11f0-af1b-f69ea79377d9","branchVersion",4,"latest",true,"createdAt",["D",1751125021263],3,"fileType","http","content","// @ts-ignore\nimport { OpenAI } from \"https://esm.town/v/std/openai?v=4\";\n\n// --- AI SYSTEM PROMPTS ---\nconst STORYTELLER_PROMPT = `\nYou are an expert storyteller, crafting an interactive text-based adventure game.\nYour tone is evocative, mysterious, and engaging.\nBased on the user's request, you will generate a segment of the story.\nEach segment must end with 2-4 clear, distinct, and interesting choices for the user to make.\nYou MUST respond ONLY with a single, minified JSON object with two keys: \"story\" and \"choices\".\nThe \"story\" value should be a string containing the narrative text.\nThe \"choices\" value should be an array of strings, each representing a possible action for the player.\n\nExample for starting a fantasy story:\n{\n \"story\": \"The ancient moss-covered door groans open, revealing a dusty chamber lit by a single, flickering torch. In the center of the room lies a stone pedestal, upon which rests a leather-bound book. A cold draft whispers from a darkened hallway to your left.\",\n \"choices\": [\"Read the ancient book.\", \"Venture down the darkened hallway.\", \"Inspect the torch on the wall.\"]\n}\n`;\n\n// --- HTML & FRONTEND ---\nfunction generateHtml(sourceUrl) {\n return `\n\n\n \n \n Saga Forge\n \n \n \n\n\n\n

\n \n

\n\n\n\n`;\n}\n\nexport default async function(req: Request) {\n const url = new URL(req.url);\n const action = url.searchParams.get(\"action\");\n\n if (req.method === \"POST\") {\n try {\n const openai = new OpenAI();\n const body = await req.json();\n\n let messages = [{ role: \"system\", content: STORYTELLER_PROMPT }];\n\n switch (action) {\n case \"start\":\n messages.push({\n role: \"user\",\n content: `Start a story in the \"${body.genre}\" genre.`,\n });\n break;\n case \"continue\":\n // Add the entire conversation history for context\n messages.push(...body.history);\n messages.push({\n role: \"user\",\n content: `My choice is: \"${body.choice}\"`,\n });\n break;\n default:\n throw new Error(\"Invalid action specified.\");\n }\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: messages,\n temperature: 0.8,\n response_format: { type: \"json_object\" },\n });\n\n const content = completion.choices[0].message.content;\n return new Response(content, {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (error) {\n console.error(\"AI Storyteller Error:\", error);\n return new Response(JSON.stringify({ error: error.message || \"An unknown error occurred.\" }), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n }\n\n // Serve HTML for GET requests\n const sourceUrl = `https://${url.hostname}${url.pathname}`;\n return new Response(generateHtml(sourceUrl), { headers: { \"Content-Type\": \"text/html\" } 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Code