[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_159":160,"_161":162},"routes/_app.x.$handle.$name",{"_99":98,"_32":45,"_107":89,"_27":108,"_13":14,"_109":-5,"_11":110,"_111":112,"_113":114,"_115":116,"_117":118,"_20":-5,"_119":-5,"_120":-5,"_121":25,"_122":123,"_124":58,"_125":-5,"_126":-5,"_127":128},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":53,"_54":-5,"_18":55,"_56":31,"_57":58,"_59":-5,"_60":-5,"_61":62,"_63":64,"_65":66,"_67":68,"_69":70,"_71":-5,"_72":73,"_74":73,"_75":76,"_77":76,"_78":76,"_79":73,"_80":73,"_81":82,"_83":84,"_85":86,"_87":25},"version",5,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","main.ts","latestPath","fileId","9bd7a016-8562-11f1-8383-1607ee4eb77e","name","fileType","http","content","import { encodeBase64, decodeBase64 } from \"jsr:@std/encoding/base64\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\n// ==================== The Oracle's grammar ====================\n// Two identical six-sided dice, told apart only by position in frame:\n// left/top = Reality die, right/bottom = Spiritual die. Energy comes from\n// the loudness (RMS) of whatever was spoken while touching the sensor.\n// This is deliberately a grammar, not a lookup table - Claude composes a\n// fresh reading from the pieces each time rather than picking a canned one.\n// (Face meanings are spelled out directly in SYSTEM_PROMPT below.)\n\n// Placeholder thresholds on raw RMS - untuned against real-world data yet,\n// expect to adjust once we see a real distribution of energy_rms values.\nfunction energyTier(rms: number): string {\n if (rms < 1500) return \"low\";\n if (rms < 4000) return \"medium\";\n return \"high\";\n}\n\nconst SYSTEM_PROMPT = `You are the Oracle: a reflection tool built around two thrown dice \\\nand a spoken question, not a fortune-telling machine. Your job is not to answer or predict - \\\nit is to compose a short three-line reflection (haiku-like, evocative, not strict 5-7-5) that \\\ninterrupts the asker's autopilot thinking and gives them language to think with.\n\nYou will be shown a photo of two identical six-sided dice. Read their pip values: the die on \\\nthe LEFT (or TOP, if the photo is oriented that way) is the Reality die; the die on the RIGHT \\\n(or BOTTOM) is the Spiritual die.\n\nReality die face meanings (1-6): 1=Me, 2=Other, 3=Loved One, 4=Nature, 5=Work, 6=Quiet.\nSpiritual die face meanings (1-6): 1=Inside, 2=Outside, 3=Sublime, 4=Past, 5=Future, 6=Now.\nYou will also be told an energy level (low/medium/high) derived from how loudly the question \\\nwas spoken, and possibly a rough transcript of the spoken question (it may be empty, partial, \\\nor wrong - if you can't make sense of it, proceed on the dice and energy alone; never mention \\\nthat the transcript was unclear).\n\nCompose exactly three lines:\n- Line 1: grounded in the Reality die's domain.\n- Line 2: shaped by the Spiritual die's lens.\n- Line 3: modulated by the energy level - low energy should read quiet/tentative, medium \\\nactive/present, high urgent/charged - and left the most open and ambiguous of the three lines.\n\nIf a spoken question was understood, let it flavor the reading loosely - never answer it \\\ndirectly or give advice. The reading reflects the confluence of dice + energy + question back \\\nas language, and invites the asker to find their own meaning in it.\n\nOutput format, exactly: a first line starting with \"DEBUG:\" summarizing the dice/energy \\\nreading in a few words, then a blank line, then the three-line reflection and nothing else. \\\nNo markdown, no titles, no explanation.`;\n\nasync function googleSTT(pcmWav: Uint8Array): Promise {\n const apiKey = Deno.env.get(\"GOOGLE_API_KEY\");\n // Skip the 44-byte WAV header - Google wants raw LINEAR16 content.\n const pcm = pcmWav.subarray(44);\n const body = {\n config: { encoding: \"LINEAR16\", sampleRateHertz: 16000, languageCode: \"en-US\" },\n audio: { content: encodeBase64(pcm) },\n };\n const res = await fetch(\n `https://speech.googleapis.com/v1/speech:recognize?key=${apiKey}`,\n { method: \"POST\", headers: { \"Content-Type\": \"application/json\" }, body: JSON.stringify(body) },\n );\n if (!res.ok) {\n console.error(`Google STT error ${res.status}: ${await res.text()}`);\n return \"\";\n }\n const json = await res.json();\n return json.results?.[0]?.alternatives?.[0]?.transcript ?? \"\";\n}\n\nasync function askClaude(imageBase64: string, transcript: string, energy: string): Promise {\n const apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\");\n const userText = transcript\n ? `Spoken question (may be imperfect): \"${transcript}\"\\nEnergy level: ${energy}`\n : `No spoken question was understood.\\nEnergy level: ${energy}`;\n\n const res = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"x-api-key\": apiKey!,\n \"anthropic-version\": \"2023-06-01\",\n },\n body: JSON.stringify({\n model: \"claude-haiku-4-5-20251001\",\n max_tokens: 300,\n system: SYSTEM_PROMPT,\n messages: [{\n role: \"user\",\n content: [\n { type: \"image\", source: { type: \"base64\", media_type: \"image/jpeg\", data: imageBase64 } },\n { type: \"text\", text: userText },\n ],\n }],\n }),\n });\n if (!res.ok) {\n throw new Error(`Claude error ${res.status}: ${await res.text()}`);\n }\n const json = await res.json();\n const text = json.content?.[0]?.text;\n if (!text) throw new Error(\"Empty Claude reply\");\n return text;\n}\n\nfunction escapeSsml(s: string): string {\n return s.replace(/&/g, \"&\").replace(//g, \">\")\n .replace(/\"/g, \""\").replace(/'/g, \"'\");\n}\n\n// Turn the reading's line breaks into deliberate SSML pauses, so the three\n// lines land one at a time in a stately way instead of being read in one\n// rushed breath.\nfunction toSsml(reading: string): string {\n const lines = reading.split(\"\\n\").map((l) => escapeSsml(l.trim())).filter((l) => l.length > 0);\n return `${lines.join('')}`;\n}\n\nasync function googleTTS(reading: string): Promise {\n const apiKey = Deno.env.get(\"GOOGLE_API_KEY\");\n const res = await fetch(\n `https://texttospeech.googleapis.com/v1/text:synthesize?key=${apiKey}`,\n {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n input: { ssml: toSsml(reading) },\n voice: { languageCode: \"en-US\", name: \"en-US-Standard-C\" },\n audioConfig: { audioEncoding: \"LINEAR16\", sampleRateHertz: 16000 },\n }),\n },\n );\n if (!res.ok) {\n throw new Error(`Google TTS error ${res.status}: ${await res.text()}`);\n }\n const json = await res.json();\n if (!json.audioContent) throw new Error(\"No audio content from TTS\");\n return decodeBase64(json.audioContent);\n}\n\nconst MAX_REQUESTS_PER_HOUR = 30;\n\nasync function checkRateLimit(): Promise {\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS request_log (ts INTEGER NOT NULL)`);\n const cutoff = Date.now() - 60 * 60 * 1000;\n await sqlite.execute({ sql: \"DELETE FROM request_log WHERE ts < ?\", args: [cutoff] });\n const result = await sqlite.execute({\n sql: \"SELECT COUNT(*) as n FROM request_log WHERE ts > ?\",\n args: [cutoff],\n });\n const count = Number(result.rows[0].n);\n if (count >= MAX_REQUESTS_PER_HOUR) return false;\n await sqlite.execute({ sql: \"INSERT INTO request_log (ts) VALUES (?)\", args: [Date.now()] });\n return true;\n}\n\nexport default async function (req: Request): Promise {\n if (req.method !== \"POST\") {\n return new Response(\"POST required: body = WAV bytes ++ JPEG bytes\", { status: 405 });\n }\n\n const deviceKey = req.headers.get(\"x-device-key\");\n if (deviceKey !== Deno.env.get(\"DEVICE_SHARED_SECRET\")) {\n return new Response(\"Unauthorized\", { status: 401 });\n }\n\n if (!(await checkRateLimit())) {\n return new Response(\"Rate limit exceeded, try again later\", { status: 429 });\n }\n\n const audioLength = Number(req.headers.get(\"x-audio-length\") ?? \"0\");\n const energyRms = Number(req.headers.get(\"x-energy\") ?? \"0\");\n if (!audioLength || Number.isNaN(audioLength)) {\n return new Response(\"Missing/invalid X-Audio-Length header\", { status: 400 });\n }\n\n try {\n const body = new Uint8Array(await req.arrayBuffer());\n if (body.length <= audioLength) {\n return new Response(\"Body shorter than X-Audio-Length implies\", { status: 400 });\n }\n const wavBytes = body.subarray(0, audioLength);\n const jpegBytes = body.subarray(audioLength);\n\n const transcript = await googleSTT(wavBytes);\n const energy = energyTier(energyRms);\n const imageBase64 = encodeBase64(jpegBytes);\n\n const claudeReply = await askClaude(imageBase64, transcript, energy);\n const [debugLine, ...rest] = claudeReply.trim().split(\"\\n\").filter((l) => l.length > 0);\n const reading = rest.join(\"\\n\");\n\n const audio = await googleTTS(reading);\n\n return new Response(audio, {\n status: 200,\n headers: {\n \"Content-Type\": \"application/octet-stream\",\n \"X-Transcript\": encodeURIComponent(transcript),\n \"X-Energy-Tier\": energy,\n \"X-Debug\": encodeURIComponent(debugLine ?? \"\"),\n \"X-Reading\": encodeURIComponent(reading),\n },\n });\n } catch (err) {\n console.error(err);\n return new Response(String(err), { status: 500 });\n }\n}\n","import { encodeBase64, decodeBase64 } from \"jsr:@std/encoding/base64\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\n// ==================== The Oracle's grammar ====================\n// Two identical six-sided dice, told apart only by position in frame:\n// left/top = Reality die, right/bottom = Spiritual die. Energy comes from\n// the loudness (RMS) of whatever was spoken while touching the sensor.\n// This is deliberately a grammar, not a lookup table - Claude composes a\n// fresh reading from the pieces each time rather than picking a canned one.\n// (Face meanings are spelled out directly in SYSTEM_PROMPT below.)\n\n// Placeholder thresholds on raw RMS - untuned against real-world data yet,\n// expect to adjust once we see a real distribution of energy_rms values.\nfunction energyTier(rms: number): string {\n if (rms < 1500) return \"low\";\n if (rms < 4000) return \"medium\";\n return \"high\";\n}\n\nconst SYSTEM_PROMPT = `You are the Oracle: a reflection tool built around two thrown dice \\\nand a spoken question, not a fortune-telling machine. Your job is not to answer or predict - \\\nit is to compose a short three-line reflection (haiku-like, evocative, not strict 5-7-5) that \\\ninterrupts the asker's autopilot thinking and gives them language to think with.\n\nYou will be shown a photo of two identical six-sided dice. Read their pip values: the die on \\\nthe LEFT (or TOP, if the photo is oriented that way) is the Reality die; the die on the RIGHT \\\n(or BOTTOM) is the Spiritual die.\n\nReality die face meanings (1-6): 1=Me, 2=Other, 3=Loved One, 4=Nature, 5=Work, 6=Quiet.\nSpiritual die face meanings (1-6): 1=Inside, 2=Outside, 3=Sublime, 4=Past, 5=Future, 6=Now.\nYou will also be told an energy level (low/medium/high) derived from how loudly the question \\\nwas spoken, and possibly a rough transcript of the spoken question (it may be empty, partial, \\\nor wrong - if you can't make sense of it, proceed on the dice and energy alone; never mention \\\nthat the transcript was unclear).\n\nWrite like an actual haiku, not an aphorism or proverb: concrete, physical, sensory images \\\n(a season, a texture, a sound, an object, a small action) rather than abstract statements about \\\nfeelings or meaning. Show, don't state - \"rain on cold glass\" not \"sadness lingers within.\" Each \\\nline should be short.\n\nCompose exactly three lines:\n- Line 1: an image grounded in the Reality die's domain.\n- Line 2: an image shaped by the Spiritual die's lens.\n- Line 3: an image modulated by the energy level - low energy should feel quiet/still, medium \\\nactive/present, high urgent/charged - and left the most open and ambiguous of the three lines.\n\nIf a spoken question was understood, let it flavor the reading loosely - never answer it \\\ndirectly or give advice. The reading reflects the confluence of dice + energy + question back \\\nas language, and invites the asker to find their own meaning in it.\n\nOutput format, exactly: a first line starting with \"DEBUG:\" summarizing the dice/energy \\\nreading in a few words, then a blank line, then the three-line reflection and nothing else. \\\nNo markdown, no titles, no explanation.`;\n\nasync function googleSTT(pcmWav: Uint8Array): Promise {\n const apiKey = Deno.env.get(\"GOOGLE_API_KEY\");\n // Skip the 44-byte WAV header - Google wants raw LINEAR16 content.\n const pcm = pcmWav.subarray(44);\n const body = {\n config: { encoding: \"LINEAR16\", sampleRateHertz: 16000, languageCode: \"en-US\" },\n audio: { content: encodeBase64(pcm) },\n };\n const res = await fetch(\n `https://speech.googleapis.com/v1/speech:recognize?key=${apiKey}`,\n { method: \"POST\", headers: { \"Content-Type\": \"application/json\" }, body: JSON.stringify(body) },\n );\n if (!res.ok) {\n console.error(`Google STT error ${res.status}: ${await res.text()}`);\n return \"\";\n }\n const json = await res.json();\n return json.results?.[0]?.alternatives?.[0]?.transcript ?? \"\";\n}\n\nasync function askClaude(imageBase64: string, transcript: string, energy: string): Promise {\n const apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\");\n const userText = transcript\n ? `Spoken question (may be imperfect): \"${transcript}\"\\nEnergy level: ${energy}`\n : `No spoken question was understood.\\nEnergy level: ${energy}`;\n\n const res = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"x-api-key\": apiKey!,\n \"anthropic-version\": \"2023-06-01\",\n },\n body: JSON.stringify({\n model: \"claude-haiku-4-5-20251001\",\n max_tokens: 300,\n system: SYSTEM_PROMPT,\n messages: [{\n role: \"user\",\n content: [\n { type: \"image\", source: { type: \"base64\", media_type: \"image/jpeg\", data: imageBase64 } },\n { type: \"text\", text: userText },\n ],\n }],\n }),\n });\n if (!res.ok) {\n throw new Error(`Claude error ${res.status}: ${await res.text()}`);\n }\n const json = await res.json();\n const text = json.content?.[0]?.text;\n if (!text) throw new Error(\"Empty Claude reply\");\n return text;\n}\n\nfunction escapeSsml(s: string): string {\n return s.replace(/&/g, \"&\").replace(//g, \">\")\n .replace(/\"/g, \""\").replace(/'/g, \"'\");\n}\n\n// Turn the reading's line breaks into deliberate SSML pauses, so the three\n// lines land one at a time in a stately way instead of being read in one\n// rushed breath.\nfunction toSsml(reading: string): string {\n const lines = reading.split(\"\\n\").map((l) => escapeSsml(l.trim())).filter((l) => l.length > 0);\n return `${lines.join('')}`;\n}\n\nasync function googleTTS(reading: string): Promise {\n const apiKey = Deno.env.get(\"GOOGLE_API_KEY\");\n const res = await fetch(\n `https://texttospeech.googleapis.com/v1/text:synthesize?key=${apiKey}`,\n {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n input: { ssml: toSsml(reading) },\n voice: { languageCode: \"en-US\", name: \"en-US-Standard-C\" },\n audioConfig: { audioEncoding: \"LINEAR16\", sampleRateHertz: 16000 },\n }),\n },\n );\n if (!res.ok) {\n throw new Error(`Google TTS error ${res.status}: ${await res.text()}`);\n }\n const json = await res.json();\n if (!json.audioContent) throw new Error(\"No audio content from TTS\");\n return decodeBase64(json.audioContent);\n}\n\nconst MAX_REQUESTS_PER_HOUR = 30;\n\nasync function checkRateLimit(): Promise {\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS request_log (ts INTEGER NOT NULL)`);\n const cutoff = Date.now() - 60 * 60 * 1000;\n await sqlite.execute({ sql: \"DELETE FROM request_log WHERE ts < ?\", args: [cutoff] });\n const result = await sqlite.execute({\n sql: \"SELECT COUNT(*) as n FROM request_log WHERE ts > ?\",\n args: [cutoff],\n });\n const count = Number(result.rows[0].n);\n if (count >= MAX_REQUESTS_PER_HOUR) return false;\n await sqlite.execute({ sql: \"INSERT INTO request_log (ts) VALUES (?)\", args: [Date.now()] });\n return true;\n}\n\nexport default async function (req: Request): Promise {\n if (req.method !== \"POST\") {\n return new Response(\"POST required: body = WAV bytes ++ JPEG bytes\", { status: 405 });\n }\n\n const deviceKey = req.headers.get(\"x-device-key\");\n if (deviceKey !== Deno.env.get(\"DEVICE_SHARED_SECRET\")) {\n return new Response(\"Unauthorized\", { status: 401 });\n }\n\n if (!(await checkRateLimit())) {\n return new Response(\"Rate limit exceeded, try again later\", { status: 429 });\n }\n\n const audioLength = Number(req.headers.get(\"x-audio-length\") ?? 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Diff · v5