OpenAI Responses Test

\n \n \n

Prompt

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Response

Click Run…

\n \n \n`);\n }\n\n const prompt = url.searchParams.get(\"prompt\") ??\n \"Return JSON with {category, subcategory, tags}.\";\n const startedAt = performance.now();\n console.log(\"[ai-test] request\", {\n method: req.method,\n promptLength: prompt.length,\n });\n\n let response = await openai.responses.create({\n model: MODEL,\n input: [\n { role: \"system\", content: \"Return valid JSON only.\" },\n { role: \"user\", content: prompt },\n ],\n store: true,\n background: true,\n });\n\n let polls = 0;\n if (response.status === \"queued\" || response.status === \"in_progress\") {\n while (polls < POLL_ATTEMPTS) {\n polls += 1;\n await new Promise((resolve) => setTimeout(resolve, POLL_DELAY_MS));\n response = await openai.responses.retrieve(response.id);\n if (response.status === \"completed\") {\n break;\n }\n }\n }\n\n const outputText = response.output_text ?? \"\";\n const outputTypes = Array.isArray(response.output)\n ? response.output.map((o) => o?.type ?? \"unknown\")\n : [];\n const outputDetails = Array.isArray(response.output)\n ? response.output.map((o) => ({\n type: o?.type ?? \"unknown\",\n content: Array.isArray(o?.content)\n ? o?.content.map((c) => ({\n type: c?.type ?? \"unknown\",\n text: c?.text ?? \"\",\n }))\n : [],\n }))\n : [];\n console.log(\"[ai-test] response\", {\n id: response.id,\n model: (response as { model?: string }).model ?? \"unknown\",\n status: response.status,\n outputTextLength: outputText.length,\n outputTypes,\n outputDetails,\n polls,\n error: (response as { error?: unknown }).error ?? null,\n incompleteDetails: (response as { incomplete_details?: unknown })\n .incomplete_details ?? null,\n durationMs: Math.round(performance.now() - startedAt),\n });\n\n return json({\n id: response.id,\n model: (response as { model?: string }).model ?? \"unknown\",\n status: response.status,\n output_text: outputText,\n output_text_length: outputText.length,\n output_types: outputTypes,\n output_details: outputDetails,\n polls,\n error: (response as { error?: unknown }).error ?? null,\n incomplete_details: (response as { incomplete_details?: unknown })\n .incomplete_details ?? null,\n });\n}","deleted","label",[114],"61ded2c6-e120-11f0-bfb5-42dde27851f2","openai-http.ts","1e8a6328-e120-11f0-a3c6-42dde27851f2",6,["D",1766618964560],5,"// Simple HTTP val to test OpenAI Responses API (gpt-5-nano)\nimport { OpenAI } from \"https://esm.sh/openai@6.15.0\";\n\nconst apiKey = Deno.env.get(\"OPENAI_API_KEY\");\nif (!apiKey) {\n throw new Error(\"Missing OPENAI_API_KEY\");\n}\n\nconst openai = new OpenAI({ apiKey });\nconst MODEL = \"gpt-5-nano\";\nconst POLL_DELAY_MS = 1200;\nconst POLL_ATTEMPTS = 15;\n\nfunction json(data: unknown, status = 200): Response {\n return new Response(JSON.stringify(data, null, 2), {\n status,\n headers: { \"Content-Type\": \"application/json\" },\n });\n}\n\nfunction html(body: string, status = 200): Response {\n return new Response(body, {\n status,\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n}\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n if (!url.searchParams.has(\"json\")) {\n const baseUrl = `${url.origin}${url.pathname}`;\n return html(`\n\n \n \n \n OpenAI Responses Test\n \n \n \n

OpenAI Responses Test

\n \n \n

Prompt

\n \n

Response

Click Run…

\n \n \n`);\n }\n\n const prompt = url.searchParams.get(\"prompt\") ??\n \"Return JSON with {category, subcategory, tags}.\";\n const startedAt = performance.now();\n console.log(\"[ai-test] request\", {\n method: req.method,\n promptLength: prompt.length,\n });\n\n let response = await openai.responses.create({\n model: MODEL,\n input: [\n { role: \"system\", content: \"Return valid JSON only.\" },\n { role: \"user\", content: prompt },\n ],\n store: true,\n background: true,\n });\n\n let polls = 0;\n if (response.status === \"queued\" || response.status === \"in_progress\") {\n while (polls < POLL_ATTEMPTS) {\n polls += 1;\n await new Promise((resolve) => setTimeout(resolve, POLL_DELAY_MS));\n response = await openai.responses.retrieve(response.id);\n if (response.status === \"completed\") {\n break;\n }\n }\n }\n\n const outputText = response.output_text ?? \"\";\n const outputTypes = Array.isArray(response.output)\n ? response.output.map((o) => o?.type ?? \"unknown\")\n : [];\n const outputDetails = Array.isArray(response.output)\n ? response.output.map((o) => ({\n type: o?.type ?? \"unknown\",\n content: Array.isArray(o?.content)\n ? o?.content.map((c) => ({\n type: c?.type ?? \"unknown\",\n text: c?.text ?? \"\",\n }))\n : [],\n }))\n : [];\n console.log(\"[ai-test] response\", {\n id: response.id,\n model: (response as { model?: string }).model ?? \"unknown\",\n status: response.status,\n outputTextLength: outputText.length,\n outputTypes,\n outputDetails,\n polls,\n error: (response as { error?: unknown }).error ?? null,\n incompleteDetails: (response as { incomplete_details?: unknown })\n .incomplete_details ?? null,\n durationMs: Math.round(performance.now() - startedAt),\n });\n\n return json({\n id: response.id,\n model: (response as { model?: string }).model ?? \"unknown\",\n status: response.status,\n output_text: outputText,\n output_text_length: outputText.length,\n output_types: outputTypes,\n output_details: outputDetails,\n polls,\n error: (response as { error?: unknown }).error ?? null,\n incomplete_details: (response as { incomplete_details?: unknown })\n .incomplete_details ?? null,\n });\n}",[131],"pulls",1,"forks","envVars",{"_145":139,"_147":51},"connections",{"_145":51,"_146":51},"count","unfilledCount","emptyCount",{"_20":130,"_13":131,"_115":132,"_117":-5,"_118":21,"_119":133,"_120":106,"_22":154,"_29":135,"_123":124,"_125":136,"_127":38,"_128":-5,"_151":155,"_87":156},{"_20":113,"_13":114,"_115":116,"_117":-5,"_118":21,"_119":30,"_120":106,"_22":150,"_29":122,"_123":124,"_125":126,"_127":38,"_128":-5,"_151":152,"_87":153},["D",1766619010584],"children",[],[114],["D",1766618964560],[],[131],["D",1766618851587],{"_11":12,"_85":81},{"_11":12,"_79":-5,"_80":81,"_44":45,"_82":83,"_84":38},{"_29":30,"_13":26,"_20":21,"_27":28,"_31":-5,"_32":-5,"_74":-5,"_75":-5,"_76":-5,"_77":14,"_78":12},"ctx",{"_67":-5,"_108":194,"_195":196,"_197":198,"_199":38,"_200":38,"_201":38,"_202":106,"_203":-5,"_204":-7,"_205":-7,"_206":51,"_207":38,"_208":38,"_209":-5,"_210":38,"_211":38,"_212":38,"_213":-5},"ENV",{"_165":166,"_167":168,"_169":26,"_170":171,"_172":173,"_174":175,"_176":177,"_178":179,"_180":181,"_182":183,"_184":185,"_186":187,"_188":189,"_190":191,"_192":193},"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"]

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