Vitality AI

Get holistic wellness suggestions across multiple modalities.

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\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 // 1. Validate incoming request body against the schema.\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 // 2. Request structured data from the OpenAI API.\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) {\n throw new Error(\"AI returned an empty response.\");\n }\n\n // 3. Robustly extract JSON from a potentially messy AI response.\n let aiJson;\n try {\n // Find the first '{' and the last '}' to isolate the JSON object.\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 // 4. Validate the parsed AI's response against our strict schema.\n const validatedResponse = AIResponseSchema.parse(aiJson);\n\n // 5. Return the validated, structured data to the client.\n return c.json(validatedResponse);\n } catch (error) {\n console.error(\"Error in /recommend endpoint:\", error);\n\n // Distinguish between a validation failure and other server errors.\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); // 502 Bad Gateway is appropriate for an invalid upstream response.\n }\n\n return c.json({\n error: error.message ||\n \"An internal error occurred while processing the request.\",\n }, 500);\n }\n});\n\nexport default app.fetch;","deleted","label","children",[],[99],"files",[150],"counts",{"_173":32,"_174":175,"_176":32,"_177":32},"pulls","branches",1,"forks","envVars","contents",[],"file",{"_104":151,"_95":99,"_152":153,"_154":-5,"_155":138,"_156":101,"_157":22,"_106":182,"_100":159,"_160":161,"_162":163,"_164":22,"_165":96,"_98":183},["D",1757692290782],[99],"upstreamProject","upstreamBranch","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name.branch.$branch.version.$version.code.$",{"_93":94,"_95":96,"_97":43,"_100":101,"_98":99,"_102":192,"_148":197,"_169":201,"_180":202,"_178":204,"_205":-5,"_206":22,"_207":-5,"_208":-5,"_209":-5,"_210":211},{"_104":105,"_95":96,"_106":193,"_108":-5,"_109":22,"_110":111,"_112":-5,"_113":-5,"_14":114,"_115":-5,"_116":22,"_117":-5,"_118":32,"_16":119,"_120":121,"_122":121,"_123":124,"_125":124,"_126":124,"_127":121,"_128":121,"_23":194,"_132":195,"_135":196,"_147":22},["D",1757649922978],{"_93":94,"_130":131},{"_93":94,"_134":131},{"_100":137,"_95":43,"_104":138,"_139":105,"_140":-5,"_141":-5,"_142":-5,"_143":-5,"_144":-5,"_145":96,"_146":94},[198],{"_104":151,"_95":99,"_152":153,"_154":-5,"_155":138,"_156":101,"_157":22,"_106":158,"_100":159,"_160":161,"_162":163,"_164":22,"_165":96,"_166":199,"_98":200},[],[99],[198],{"_104":151,"_95":99,"_152":153,"_154":-5,"_155":138,"_156":101,"_157":22,"_106":182,"_100":159,"_160":161,"_162":163,"_164":22,"_165":96,"_98":203},[99],[],"upstream","showCompareCallout","pull","ahead","behind","templates",[],"actionData","errors"]