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🤖 AI Agent

Ask me anything — I can search the web & do math

Start a conversation...

\n \n

\n view source\n

\n \n\n`;\n\n// --- Tools the agent can use ---\nconst tools = [\n {\n type: \"function\" as const,\n function: {\n name: \"math\",\n description: \"Evaluate a math expression. Example: '2 + 2' or 'Math.sqrt(144)'\",\n parameters: { type: \"object\", properties: { expression: { type: \"string\" } }, required: [\"expression\"] },\n },\n },\n {\n type: \"function\" as const,\n function: {\n name: \"get_current_time\",\n description: \"Get the current date and time in UTC\",\n parameters: { type: \"object\", properties: {} },\n },\n },\n {\n type: \"function\" as const,\n function: {\n name: \"random_number\",\n description: \"Generate a random number between min and max\",\n parameters: {\n type: \"object\",\n properties: { min: { type: \"number\" }, max: { type: \"number\" } },\n required: [\"min\", \"max\"],\n },\n },\n },\n];\n\nfunction executeTool(name: string, args: Record): string {\n switch (name) {\n case \"math\":\n try {\n const result = new Function(`return (${args.expression})`)();\n return String(result);\n } catch {\n return \"Error evaluating expression\";\n }\n case \"get_current_time\":\n return new Date().toISOString();\n case \"random_number\":\n return String(Math.floor(Math.random() * ((args.max as number) - (args.min as number) + 1)) + (args.min as number));\n default:\n return \"Unknown tool\";\n }\n}\n\nasync function chat(messages: Array<{ role: string; content: string }>) {\n const apiKey = Deno.env.get(\"OPENAI_API_KEY\");\n if (!apiKey) {\n return { reply: \"⚠️ Please add your OPENAI_API_KEY in the val's environment variables to use this agent.\", toolCalls: null };\n }\n\n const systemMsg = {\n role: \"system\",\n content: \"You are a helpful AI agent. You can use tools to do math, get the current time, and generate random numbers. Be concise and friendly.\",\n };\n\n const res = await fetch(\"https://api.openai.com/v1/chat/completions\", {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\", Authorization: `Bearer ${apiKey}` },\n body: JSON.stringify({ model: \"gpt-4o-mini\", messages: [systemMsg, ...messages], tools }),\n });\n\n const data = await res.json();\n const choice = data.choices?.[0];\n\n if (!choice) return { reply: \"Something went wrong: \" + JSON.stringify(data), toolCalls: null };\n\n // If the model wants to call tools\n if (choice.finish_reason === \"tool_calls\" && choice.message.tool_calls) {\n const toolResults: string[] = [];\n const toolMessages: Array> = [{ ...choice.message }];\n\n for (const tc of choice.message.tool_calls) {\n const args = JSON.parse(tc.function.arguments);\n const result = executeTool(tc.function.name, args);\n toolResults.push(`${tc.function.name}(${JSON.stringify(args)}) → ${result}`);\n toolMessages.push({ role: \"tool\", tool_call_id: tc.id, content: result });\n }\n\n // Second call with tool results\n const res2 = await fetch(\"https://api.openai.com/v1/chat/completions\", {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\", Authorization: `Bearer ${apiKey}` },\n body: JSON.stringify({ model: \"gpt-4o-mini\", messages: [systemMsg, ...messages, ...toolMessages] }),\n });\n const data2 = await res2.json();\n return { reply: data2.choices?.[0]?.message?.content || \"No response\", toolCalls: toolResults };\n }\n\n return { reply: choice.message?.content || \"No response\", toolCalls: null };\n}\n\nexport default async function(req: Request): Promise {\n const url = new URL(req.url);\n\n if (url.pathname === \"/source\") {\n return new Response(null, { status: 302, headers: { Location: parseVal().links.self.val } });\n }\n\n if (url.pathname === \"/chat\" && req.method === \"POST\") {\n const { messages } = await req.json();\n const result = await chat(messages);\n return Response.json(result);\n }\n\n return new Response(APP_HTML, { headers: { \"Content-Type\": \"text/html\" } });\n}\n","label",[59],"pulls","branches","forks","envVars",{"_151":20,"_153":20},"connections",{"_151":20,"_152":20},"count","unfilledCount","emptyCount",{"_27":136,"_13":59,"_57":58,"_37":-5,"_29":30,"_137":34,"_138":78,"_31":155,"_33":20,"_60":61,"_140":141,"_62":24,"_142":-5,"_156":157,"_114":158},["D",1779849050809],"children",[],[59],["D",1779849013304],{"_11":12,"_113":65},{"_11":12,"_109":65,"_64":65,"_25":63,"_110":111,"_112":24},{"_33":34,"_13":16,"_27":30,"_101":66,"_102":-5,"_103":-5,"_104":-5,"_105":-5,"_106":-5,"_107":14,"_108":12},"ctx",{"_46":-5,"_132":196,"_197":198,"_199":200,"_201":24,"_202":24,"_203":24,"_204":78,"_205":-5,"_206":-7,"_207":-7,"_208":20,"_209":24,"_210":24,"_211":-5,"_212":24,"_213":24,"_214":24,"_215":-5},"ENV",{"_167":168,"_169":170,"_171":16,"_172":173,"_174":175,"_176":177,"_178":179,"_180":181,"_182":183,"_184":185,"_186":187,"_188":189,"_190":191,"_192":193,"_194":195},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","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"]

History