Runbookify 💬➡️📘:

Paste incident notes → stream Slack-ready markdown.

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Output (streaming)

\n\n \n\n\n`;\n}\n\n/**\n * Streaming text response: chunk tokens to the browser as they arrive.\n */\nasync function streamRunbook(notes: string): Promise {\n const encoder = new TextEncoder();\n\n const stream = new ReadableStream({\n async start(controller) {\n try {\n const completion = await openai.chat.completions.create({\n model: \"gpt-5-nano\",\n stream: true,\n messages: [\n {\n role: \"system\",\n content:\n \"You are Runbookify. Convert incident notes into Slack-ready markdown with: Title, Current Date & Time, Version 1.0, Risk level, Summary, Steps (commands in ```bash``` blocks), Expected output, Troubleshooting. Be verbose and go step-by-step that the user may have left out.\",\n },\n { role: \"user\", content: notes },\n ],\n max_tokens: 900,\n });\n\n // The Val std/openai client typically returns an async iterable for stream:true\n for await (const evt of completion as any) {\n const delta = evt?.choices?.[0]?.delta?.content ?? \"\";\n if (delta) controller.enqueue(encoder.encode(delta));\n }\n\n controller.close();\n } catch (e) {\n controller.enqueue(\n encoder.encode(\"\\n\\n[Runbookify error while streaming]\\n\"),\n );\n controller.close();\n }\n },\n });\n\n return new Response(stream, {\n headers: {\n \"Content-Type\": \"text/plain; charset=utf-8\",\n // Helps proxies not buffer (best-effort)\n \"Cache-Control\": \"no-store\",\n },\n });\n}\n\n/**\n * Non-streaming fallback (classic POST -> full HTML response)\n */\nasync function nonStreamingRunbook(notes: string): Promise {\n const completion = await openai.chat.completions.create({\n model: \"gpt-5-nano\",\n max_tokens: 900,\n messages: [\n {\n role: \"system\",\n content:\n \"You are Runbookify. Convert incident notes into Slack-ready markdown with: Title, Date, Version 1.0, Risk level, Summary, Steps (commands in ```bash``` blocks), Expected output, Troubleshooting. Be concise and operational.\",\n },\n { role: \"user\", content: notes },\n ],\n });\n\n return completion.choices[0].message.content?.trim() ?? \"\";\n}\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n\n if (req.method === \"GET\") {\n return new Response(renderPage(), {\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n }\n\n if (req.method === \"POST\") {\n const form = await req.formData();\n const rawNotes = String(form.get(\"notes\") ?? \"\").trim();\n const notes = rawNotes.length > 4000\n ? rawNotes.slice(0, 4000) + \"…\"\n : rawNotes;\n\n if (!notes) {\n // Return the page; JS will show inline error; for no-js users, they’ll just see the page again.\n return new Response(renderPage(), {\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n }\n\n if (url.searchParams.get(\"stream\") === \"1\") {\n return streamRunbook(notes);\n }\n\n // Non-JS fallback: generate, then render in HTML\n const out = await nonStreamingRunbook(notes);\n const html = renderPage().replace(\n \"\",\n ``,\n );\n\n return new Response(html, {\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n }\n\n return new Response(\"Method Not Allowed\", { status: 405 });\n}","deleted","label","runbookify",[100],"permalink","https://www.val.town/x/jwsy/Runbookify/code/main.ts","extension","actionData","errors"]