Weather Today

\n `;\nconst SHELL_CLOSE =\n `

`;\n\nfunction successHtml(summary: string, tools: string[]) {\n const toolPills = tools.length\n ? tools\n .map((t) =>\n `${esc(t)}`\n )\n .join(\"\")\n : `(none)`;\n\n return `${SHELL_OPEN}\n \n

weatherGPT

Self-edit complete ✨

\n \n \n

Agent response

${esc(summary)}

\n \n \n

Tools used

${toolPills}

\n \n ${SHELL_CLOSE}`;\n}\n\nfunction errorHtml(message: string, stack: string, partial: string) {\n return `${SHELL_OPEN}\n \n

weatherGPT

Self-edit failed

\n \n \n

Error

${esc(message)}

\n \n ${\n stack\n ? `\n

Stack

${esc(stack)}

\n `\n : \"\"\n }\n ${\n partial\n ? `\n

Partial transcript

${esc(partial)}

\n `\n : ``\n }\n ${SHELL_CLOSE}`;\n}\n",[140],"a01f162e-560d-11f1-a3bf-ee650bb23af1","proxy.ts",15,["D",1779475194605],"http","// Scoped MCP proxy for Val Town's MCP server.\n//\n// Locks the agent down to a single val: every tools/call is rewritten so the\n// `val` parameter is forced to weatherGPT, regardless of what the model\n// supplied. Tools not in the allowlist are rejected. The real Val Town API\n// token stays server-side; the agent only sees MCP_PROXY_TOKEN.\n\nimport { Hono } from \"npm:hono\";\n\nconst UPSTREAM = \"https://api.val.town/v3/mcp\";\nconst SCOPED_VAL = \"stevekrouse/weatherGPT\";\n\n// Only file-editing + read tools for self-editing. No list_vals, no sqlite,\n// no blob, no env vars, no remix/create_val, no cross-val anything.\nconst ALLOWLIST = new Set([\n \"list_files\",\n \"read_file\",\n \"create_file\",\n \"update_file\",\n \"replace_in_file\",\n \"append_to_file\",\n \"prepend_to_file\",\n \"insert_at_line\",\n \"delete_file\",\n \"rename_file\",\n \"move_file\",\n \"copy_file\",\n \"set_file_type\",\n \"create_directory\",\n \"get_val_detail\",\n \"get_logs\",\n \"get_traces\",\n \"run_file\",\n \"fetch_val_endpoint\",\n]);\n\nconst app = new Hono();\n\napp.post(\"/mcp\", async (c) => {\n const presented = c.req.header(\"authorization\")?.replace(/^Bearer\\s+/i, \"\");\n if (presented !== Deno.env.get(\"MCP_PROXY_TOKEN\")) {\n return c.json(jsonRpcError(null, -32001, \"unauthorized\"), 401);\n }\n\n const body = await c.req.json();\n const { id, method, params } = body;\n\n if (method === \"initialize\") {\n return c.json({\n jsonrpc: \"2.0\",\n id,\n result: {\n protocolVersion: \"2024-11-05\",\n capabilities: { tools: {} },\n serverInfo: {\n name: \"weatherGPT-scoped-valtown\",\n version: \"0.1.0\",\n },\n },\n });\n }\n\n if (method?.startsWith(\"notifications/\")) {\n return new Response(null, { status: 202 });\n }\n\n if (method === \"tools/list\") {\n const upstream = await callUpstream(body);\n if (!upstream?.result?.tools) return c.json(upstream);\n upstream.result.tools = upstream.result.tools\n .filter((t: any) => ALLOWLIST.has(t.name))\n .map(lockValParam);\n return c.json(upstream);\n }\n\n if (method === \"tools/call\") {\n const name = params?.name;\n if (!ALLOWLIST.has(name)) {\n return c.json(jsonRpcError(\n id,\n -32601,\n `Tool '${name}' is not allowed by this scoped proxy.`,\n ));\n }\n const scoped = {\n ...body,\n params: {\n ...params,\n arguments: { ...(params?.arguments ?? {}), val: SCOPED_VAL },\n },\n };\n return c.json(await callUpstream(scoped));\n }\n\n // Anything else — let it pass through; upstream will 404 if it doesn't\n // know the method. Keeps us forward-compatible without expanding surface.\n return c.json(await callUpstream(body));\n});\n\napp.get(\"/\", (c) =>\n c.text(\n `Scoped Val Town MCP proxy. Locked to val ${SCOPED_VAL}.\\nPOST JSON-RPC to /mcp with Authorization: Bearer .`,\n ));\n\nfunction lockValParam(tool: any) {\n if (!tool?.inputSchema?.properties) return tool;\n const schema = structuredClone(tool.inputSchema);\n delete schema.properties.val;\n if (Array.isArray(schema.required)) {\n schema.required = schema.required.filter((r: string) => r !== \"val\");\n }\n return {\n ...tool,\n inputSchema: schema,\n description:\n `${tool.description ?? \"\"}\\n[Scoped to ${SCOPED_VAL}; the val parameter is fixed by the proxy.]`,\n };\n}\n\nasync function callUpstream(body: any) {\n const res = await fetch(UPSTREAM, {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"Accept\": \"application/json, text/event-stream\",\n \"Authorization\": `Bearer ${Deno.env.get(\"VAL_TOWN_API_TOKEN\")}`,\n },\n body: JSON.stringify(body),\n });\n const text = await res.text();\n // Streamable HTTP transport may return either plain JSON or SSE framing.\n if (text.startsWith(\"event:\") || text.includes(\"\\ndata:\")) {\n const line = text.split(\"\\n\").find((l) => l.startsWith(\"data:\"));\n if (line) return JSON.parse(line.slice(5).trim());\n }\n try {\n return JSON.parse(text);\n } catch {\n return jsonRpcError(body.id ?? null, -32603, `Upstream non-JSON: ${text.slice(0, 200)}`);\n }\n}\n\nfunction jsonRpcError(id: any, code: number, message: string) {\n return { jsonrpc: \"2.0\", id, error: { code, message } };\n}\n\nexport default app.fetch;\n",[149],"64a1e352-5611-11f1-a2ce-ee650bb23af1","main.tsx","1b376e4a-25f1-11f0-ad23-569c3dd06744",["D",1779476812768],13,"interval","import { email } from \"https://esm.town/v/std/email?v=11\";\nimport { emailAddress } from \"https://esm.town/v/std/utils/index.ts\";\nimport { OpenAI } from \"npm:openai\";\n\nlet location = \"brooklyn ny\";\nlet lang = \"en\";\nconst weather = await fetch(\n `https://wttr.in/${location}?lang=${lang}&format=j1`,\n).then(r => r.json());\n\nconst openai = new OpenAI();\nlet chatCompletion = await openai.chat.completions.create({\n messages: [{\n role: \"user\",\n content: `Based the weather data below, \n give me suggestions on how warmly to dress, \n ie pants or shorts, a light jacket or a warm jacket, \n a scarf and gloves or not, if I should carry an umbrella, etc. \n In your response, use temperature data from the weather data below \n throughout the day to explain your reccomendation.\n Be as concice as possible. Assume I'll wear the same thing the whole day.\n Do not use a bulleted list. Use 2-3 sentences. Only use Fahrenheit`.replaceAll(\"\\n\", \"\"),\n }, {\n role: \"user\",\n content: JSON.stringify(weather),\n }],\n model: \"gpt-4o\",\n max_tokens: 150,\n});\n\nconst text = chatCompletion.choices[0].message.content;\nconsole.log(text);\n\n// Pull a few useful fields from the weather payload for the HTML summary.\nconst current = weather?.current_condition?.[0] ?? {};\nconst today = weather?.weather?.[0] ?? {};\nconst area = weather?.nearest_area?.[0]?.areaName?.[0]?.value ?? location;\nconst region = weather?.nearest_area?.[0]?.region?.[0]?.value ?? \"\";\nconst tempF = current.temp_F ?? \"\";\nconst feelsF = current.FeelsLikeF ?? \"\";\nconst desc = current.weatherDesc?.[0]?.value ?? \"\";\nconst hiF = today.maxtempF ?? \"\";\nconst loF = today.mintempF ?? \"\";\nconst humidity = current.humidity ?? \"\";\nconst windMph = current.windspeedMiles ?? \"\";\nconst sunrise = today.astronomy?.[0]?.sunrise ?? \"\";\nconst sunset = today.astronomy?.[0]?.sunset ?? \"\";\nconst chanceRain = today.hourly?.reduce(\n (m: number, h: any) => Math.max(m, Number(h.chanceofrain ?? 0)),\n 0,\n) ?? 0;\n\nfunction escapeHtml(s: string) {\n return s\n .replace(/&/g, \"&\")\n .replace(//g, \">\")\n .replace(/\"/g, \""\");\n}\n\n// Pick an emoji + gradient based on the current conditions.\nfunction weatherTheme(d: string) {\n const s = (d || \"\").toLowerCase();\n if (s.includes(\"thunder\")) return { emoji: \"⛈️\", gradient: \"linear-gradient(135deg,#4338ca,#1e1b4b)\" };\n if (s.includes(\"snow\") || s.includes(\"sleet\") || s.includes(\"blizzard\")) return { emoji: \"❄️\", gradient: \"linear-gradient(135deg,#60a5fa,#1e3a8a)\" };\n if (s.includes(\"rain\") || s.includes(\"drizzle\") || s.includes(\"shower\")) return { emoji: \"🌧️\", gradient: \"linear-gradient(135deg,#3b82f6,#1e40af)\" };\n if (s.includes(\"fog\") || s.includes(\"mist\") || s.includes(\"haze\")) return { emoji: \"🌫️\", gradient: \"linear-gradient(135deg,#94a3b8,#475569)\" };\n if (s.includes(\"cloud\") || s.includes(\"overcast\")) return { emoji: \"⛅\", gradient: \"linear-gradient(135deg,#64748b,#334155)\" };\n if (s.includes(\"clear\") && Number(current.is_day ?? 1) === 0) return { emoji: \"🌙\", gradient: \"linear-gradient(135deg,#1e293b,#0f172a)\" };\n if (s.includes(\"sun\") || s.includes(\"clear\")) return { emoji: \"☀️\", gradient: \"linear-gradient(135deg,#f59e0b,#ef4444)\" };\n return { emoji: \"🌤️\", gradient: \"linear-gradient(135deg,#3b82f6,#8b5cf6)\" };\n}\nconst theme = weatherTheme(desc);\n\n// Build a small 4-slot hourly strip (morning / midday / afternoon / evening).\nconst targetHours = [800, 1200, 1600, 2000];\nconst hourLabels: Record = { 800: \"8a\", 1200: \"12p\", 1600: \"4p\", 2000: \"8p\" };\nconst hourly = today.hourly ?? [];\nconst hourCells = targetHours.map(t => {\n const h = hourly.find((x: any) => Number(x.time) === t) ?? hourly[0] ?? {};\n const d = h.weatherDesc?.[0]?.value ?? \"\";\n const { emoji } = weatherTheme(d);\n return `\n \n

${hourLabels[t]}

${emoji}

${escapeHtml(String(h.tempF ?? \"\"))}°

\n `;\n}).join(\"\");\n\nconst html = `\n\n \n \n \n Weather Today\n \n \n \n \n \n \n \n

\n \n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n\n \n \n \n \n

\n \n \n \n \n \n

Weather Today

${escapeHtml(area)}${region ? \", \" + escapeHtml(region) : \"\"}

${escapeHtml(String(tempF))}°F

${escapeHtml(desc)} · Feels like ${escapeHtml(String(feelsF))}°F

\n ${theme.emoji}\n

\n \n ${hourCells}\n

\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n

High / Low	${escapeHtml(String(hiF))}° / ${escapeHtml(String(loF))}°F
Chance of rain	${chanceRain}%
Humidity · Wind	${escapeHtml(String(humidity))}% · ${escapeHtml(String(windMph))} mph
Sunrise · Sunset	${escapeHtml(sunrise)} · ${escapeHtml(sunset)}

👕 What to wear

${escapeHtml(text ?? \"\").replace(/\\n+/g, \"
\")}

\n ✨ Reply to this email to ask weatherGPT to edit itself\n

\n Powered by wttr.in & GPT-4o · Val Town\n

\n \n`;\n\nexport async function weatherGPT() {\n // Reply-to points at the email-triggered reply.tsx file, so hitting \"Reply\"\n // routes your message to the self-editing Claude agent there.\n const replyTo = await emailAddress(\"/reply.tsx\", import.meta.url);\n await email({\n subject: \"Weather Today\",\n text:\n text +\n \"\\n\\n— Reply to this email to ask weatherGPT to edit itself.\",\n html,\n replyTo,\n });\n}\n",[156],"1b3772dc-25f1-11f0-ad23-569c3dd06744","README.md","1b377354-25f1-11f0-ad23-569c3dd06744",1,["D",1699547926264],"\n\n\nMigrated from folder: Archive/weatherGPT",[164],"branches","forks",18,"envVars",{"_177":179,"_180":131},"connections",{"_177":131,"_178":131},"count","unfilledCount",2,"emptyCount",{"_25":163,"_13":164,"_123":165,"_125":-5,"_126":74,"_127":166,"_129":31,"_27":199,"_71":131,"_132":105,"_134":168,"_136":23,"_137":-5,"_187":200,"_93":201},{"_25":155,"_13":156,"_123":157,"_125":-5,"_126":74,"_127":72,"_129":31,"_27":196,"_71":159,"_132":160,"_134":161,"_136":23,"_137":-5,"_187":197,"_93":198},{"_25":148,"_13":149,"_123":40,"_125":-5,"_126":74,"_127":150,"_129":31,"_27":193,"_71":131,"_132":152,"_134":153,"_136":23,"_137":-5,"_187":194,"_93":195},{"_25":139,"_13":140,"_123":141,"_125":-5,"_126":74,"_127":142,"_129":31,"_27":190,"_71":144,"_132":145,"_134":146,"_136":23,"_137":-5,"_187":191,"_93":192},{"_25":121,"_13":122,"_123":124,"_125":-5,"_126":74,"_127":128,"_129":31,"_27":186,"_71":131,"_132":133,"_134":135,"_136":23,"_137":-5,"_187":188,"_93":189},["D",1779476494419],"children",[],[122],["D",1779476737859],[],[140],["D",1779475194605],[],[149],["D",1779476812768],[],[156],["D",1699547926264],[],[164],["D",1746037792228],["D",1789597296394],{"_11":12,"_89":85},{"_11":12,"_83":-5,"_84":85,"_37":38,"_86":87,"_88":23},{"_71":72,"_13":73,"_25":74,"_75":26,"_76":-5,"_77":-5,"_78":-5,"_79":-5,"_80":-5,"_81":14,"_82":12},"ctx",{"_64":-5,"_113":240,"_241":242,"_243":244,"_245":23,"_246":23,"_247":23,"_248":31,"_249":-5,"_250":-7,"_251":-7,"_252":131,"_253":23,"_254":23,"_255":-5,"_256":23,"_257":23,"_258":23,"_259":-5},"ENV",{"_211":212,"_213":214,"_215":73,"_216":217,"_218":219,"_220":221,"_222":223,"_224":225,"_226":227,"_228":229,"_230":231,"_232":233,"_234":235,"_236":237,"_238":239},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","c73f21da490985bff19c279eb0e09db24d688e4f","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Pull requests