Vitality AI

Holistic guidance for mind, body, and spirit.

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\n\n\n\n\n\n`;\n}\n\n// --- Service Initialization ---\nconst app = new Hono();\n\n// Middleware to ensure OpenAI client is initialized\nconst initMiddleware = (c, next) => {\n if (!c.get(\"openai\")) {\n c.set(\"openai\", new OpenAI());\n }\n return next();\n};\n\napp.use(\"*\", initMiddleware);\n\n// --- API Endpoints ---\n// GET / -> Serves the HTML user interface.\napp.get(\"/\", (c) => {\n const sourceUrl = new URL(c.req.url);\n const baseUrl = `https://${sourceUrl.hostname}${sourceUrl.pathname}`;\n return c.html(generateHtml(baseUrl.endsWith(\"/\") ? baseUrl : `${baseUrl}/`));\n});\n\n// POST /recommend -> The API endpoint for getting recommendations.\napp.post(\"/recommend\", async (c) => {\n const body = await c.req.json();\n const validation = RecommendationRequestSchema.safeParse(body);\n\n if (!validation.success) {\n return c.json({\n error: \"Invalid request body.\",\n details: validation.error.flatten(),\n }, 400);\n }\n\n const { symptoms, demographics } = validation.data;\n const openai = c.get(\"openai\");\n\n try {\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: SYSTEM_PROMPT },\n {\n role: \"user\",\n content:\n `Generate holistic recommendations for the following case:\\n- Symptoms: ${symptoms}\\n- Age: ${demographics.age}\\n- Sex: ${demographics.sex}`,\n },\n ],\n response_format: { type: \"json_object\" },\n });\n\n const aiContent = completion.choices[0]?.message?.content;\n if (!aiContent) throw new Error(\"AI returned an empty response.\");\n\n let aiJson;\n try {\n const jsonStart = aiContent.indexOf(\"{\");\n const jsonEnd = aiContent.lastIndexOf(\"}\");\n if (jsonStart === -1 || jsonEnd === -1) {\n throw new Error(\"No JSON object found in AI response.\");\n }\n const jsonString = aiContent.substring(jsonStart, jsonEnd + 1);\n aiJson = JSON.parse(jsonString);\n } catch (parseError) {\n console.error(\"Failed to parse AI response:\", aiContent);\n throw new Error(\"AI returned malformed JSON.\");\n }\n\n const validatedResponse = AIResponseSchema.parse(aiJson);\n return c.json(validatedResponse);\n } catch (error) {\n console.error(\"Error in /recommend endpoint:\", error);\n if (error instanceof z.ZodError) {\n return c.json({\n error: \"AI response did not conform to the required data structure.\",\n details: error.flatten(),\n }, 502);\n }\n return c.json(\n { error: error.message || \"An internal error occurred.\" },\n 500,\n );\n }\n});\n\n// POST /chat -> New endpoint for handling expert chat conversations\nconst ChatRequestSchema = z.object({\n topic: z.string().min(1),\n message: z.string().min(1),\n});\n\napp.post(\"/chat\", async (c) => {\n const body = await c.req.json();\n const validation = ChatRequestSchema.safeParse(body);\n\n if (!validation.success) {\n return c.json({\n error: \"Invalid chat request.\",\n details: validation.error.flatten(),\n }, 400);\n }\n\n const { topic, message } = validation.data;\n const openai = c.get(\"openai\");\n\n const CHAT_SYSTEM_PROMPT = `\n You are a world-renowned expert on the specific topic of **${topic}**.\n Your persona is helpful, deeply knowledgeable, and clear.\n You must stay strictly on topic. Do not discuss other subjects.\n When you ask a question that has common follow-ups, you MUST provide multiple-choice options for the user.\n Format these options as a single, minified JSON object at the end of your response, like this:\n {\"question\": \"What would you like to explore next?\", \"choices\": [\"Tell me about its history\", \"What are the primary benefits?\", \"Explain the main risks\"]}\n Do not use markdown for the JSON block. It must be a raw string.\n Keep your text responses concise and easy to read.\n `;\n\n try {\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o-mini\", // Use a faster model for chat\n messages: [\n { role: \"system\", content: CHAT_SYSTEM_PROMPT },\n { role: \"user\", content: message },\n ],\n temperature: 0.7,\n max_tokens: 250,\n });\n\n const aiResponse = completion.choices[0]?.message?.content;\n if (!aiResponse) throw new Error(\"Chat AI returned an empty response.\");\n\n return c.json({ response: aiResponse });\n } catch (error) {\n console.error(\"Error in /chat endpoint:\", error);\n return c.json({ error: \"An error occurred during the chat.\" }, 500);\n }\n});\n\nexport default app.fetch;","deleted","label",[98],"permalink","https://www.val.town/x/know/vitals/code/main.ts","extension","actionData","errors"]