Tribal Knowledge Engine 2027

\n \n\n

\n ✨\n Welcome\n

\n Your workspace is ready. Select a favorite from the sidebar or define a new context.\n

\n \n

\n\n

Select Your O*NET Occupation

\n\n

Select Document Type to Generate

\n\n

\n \n

\n 💬\n Gathering Details\n

\n \n

\n\n \n

\n\n

\n \n \n

\n \n

\n\n

\n\n\n\n

✓

Success!

Your action was completed.

\n\n\n\n\n`;\n}\n\n// --- SERVER-SIDE HANDLER (HONO ROUTER) ---\n\nconst app = new Hono();\n\n/**\n * Extracts and sanitizes a JSON object.\n * MODIFIED: Now handles the 'COMPLETE' token from the gatherer.\n */\nfunction extractJson(content: string): any {\n // Find the first '{' and the last '}'\n const jsonMatch = content.match(/\\{[\\s\\S]*\\}/);\n if (!jsonMatch) {\n // Handle 'COMPLETE' token\n if (content.startsWith(\"COMPLETE\")) {\n const jsonPart = content.replace(\"COMPLETE\", \"\").trim();\n try {\n return JSON.parse(jsonPart);\n } catch (e) {\n throw new Error(\"AI returned 'COMPLETE' but JSON was malformed.\");\n }\n }\n throw new Error(\"AI did not return a valid JSON object.\");\n }\n try {\n return JSON.parse(jsonMatch[0]);\n } catch (e) {\n console.error(\"Failed to parse AI JSON response:\", e.message);\n throw new Error(\"AI returned malformed JSON.\");\n }\n}\n\n// --- API ROUTES ---\n\napp.post(\"/api\", async (c) => {\n const { action } = c.req.query();\n const openai = new OpenAI();\n\n try {\n switch (action) {\n // --- ACTION: generate-occupations ---\n case \"generate-occupations\": {\n const { industry, company, role, language } = await c.req.json();\n if (!industry || !company || !role || !language) {\n return c.json(\n { error: \"Industry, company, role, and language are required.\" },\n 400,\n );\n }\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: OCCUPATION_AND_SCHEMA_GENERATOR_PROMPT },\n {\n role: \"user\",\n content:\n `Industry: ${industry}\\nCompany: ${company}\\nRole: ${role}\\nLanguage: ${language}`,\n },\n ],\n response_format: { type: \"json_object\" },\n temperature: 0.3,\n });\n\n const content = completion.choices[0].message.content;\n const parsed = extractJson(content);\n return c.json(parsed);\n }\n\n // --- NEW: ACTION: gather ---\n case \"gather\": {\n const { task, domain, history } = await c.req.json();\n if (!task || !domain) {\n return c.json({ error: \"Task and domain are required.\" }, 400);\n }\n\n const historyString = (history || []).map((h: any) =>\n `${h.role === \"assistant\" ? \"AI\" : \"User\"}: ${h.content}`\n ).join(\"\\n\");\n\n const prompt = INFORMATION_GATHERER_PROMPT\n .replace(\"{{TASK}}\", task)\n .replace(\"{{DOMAIN}}\", domain)\n .replace(\n \"{{HISTORY}}\",\n historyString ||\n \"No history yet. Start with your most important question.\",\n );\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o-mini\", // Use a faster model for chat\n messages: [\n {\n role: \"system\",\n content:\n \"You are a helpful assistant following strict output rules.\",\n },\n { role: \"user\", content: prompt },\n ],\n temperature: 0.2,\n });\n\n const responseText = completion.choices[0].message.content.trim();\n\n if (responseText.startsWith(\"COMPLETE\")) {\n const jsonData = extractJson(responseText); // Use robust extractor\n return c.json({ status: \"complete\", data: jsonData });\n } else {\n // Return the question\n return c.json({ status: \"in-progress\", question: responseText });\n }\n }\n\n // --- ACTION: generate-document (STREAMING) ---\n // MODIFIED: Now accepts 'gatheredData'\n case \"generate-document\": {\n const { docTypeSchema, occupationTitle, context, gatheredData } =\n await c.req.json();\n\n if (!docTypeSchema || !context || !gatheredData) {\n return c.json(\n { error: \"docTypeSchema, context, and gatheredData are required.\" },\n 400,\n );\n }\n\n const prompt = createDocumentPrompt(\n docTypeSchema,\n occupationTitle,\n context,\n gatheredData, // Pass interview data to prompt\n );\n\n const streamResponse = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: prompt },\n ],\n stream: true,\n temperature: 0.7,\n });\n\n return stream(c, async (stream) => {\n for await (const chunk of streamResponse) {\n const content = chunk.choices[0]?.delta?.content || \"\";\n if (content) {\n await stream.write(content);\n }\n }\n });\n }\n\n default:\n return c.json({ error: \"Invalid action.\" }, 400);\n }\n } catch (error) {\n console.error(`API Error on action '${action}':`, error);\n const errorMessage = (error instanceof Error)\n ? error.message\n : String(error);\n return c.json(\n { error: errorMessage || \"An unexpected error occurred.\" },\n 500,\n );\n }\n});\n\n// --- MAIN HANDLER ---\n// Serve HTML for GET requests, handle API for POST\nexport default async function (req: Request) {\n if (req.method === \"GET\") {\n const url = new URL(req.url);\n const sourceUrl = `https://${url.hostname}${url.pathname}`;\n return new Response(generateHtml(sourceUrl), {\n headers: { \"Content-Type\": \"text/html\" },\n });\n }\n\n // Handle API routes via Hono\n return app.fetch(req);\n}","deleted","label",[99],"permalink","https://www.val.town/x/volt/untitled-3175/code/main.ts","extension","actionData","errors"]

O*Task

O*Task

\n ✨\n Welcome\n

Select Your O*NET Occupation

Select Document Type to Generate

\n 💬\n Gathering Details\n

\n ✨\n Welcome\n

Select Your O*NET Occupation

Select Document Type to Generate

\n 💬\n Gathering Details\n

✨ Welcome to O*Task

Define Context

Preferences

You're all set!