Anesthesia Co-Pilot

Welcome, Doctor.

Click \"New Command\" or press Ctrl + K.

Start with a Pre-Op Assessment to load a patient context.

Example: preop for Josef Smith 75yo 80kg ASA 3 with CAD for CABG

\n \n \n `;\n};\n\n// --- CORE BACKEND LOGIC ---\nconst llm = async (sysPrompt, userPrompt, log, tid, model = \"gpt-4o\") => {\n log(\"DEBUG\", \"LLM\", `Calling OpenAI for TID ${tid}`);\n try {\n const oa = new OpenAI();\n const completion = await oa.chat.completions.create({\n model,\n messages: [{ role: \"system\", content: sysPrompt }, { role: \"user\", content: userPrompt }],\n response_format: { type: \"json_object\" },\n temperature: 0.1,\n });\n const content = completion.choices[0]?.message?.content;\n if (!content) throw new Error(\"OpenAI returned no content.\");\n return JSON.parse(content);\n } catch (err) {\n log(\"ERROR\", \"LLM\", `OpenAI API call failed for TID ${tid}`, { error: err.message });\n throw new Error(`AI model error: ${err.message}`);\n }\n};\n\nconst helpData = {\n \"disclaimer\":\n \"AI generated for informational purposes only. This is not medical advice. Verify all information and exercise independent clinical judgment. Adhere to all institutional protocols and standards of care.\",\n \"title\": \"Anesthesia Co-Pilot Help\",\n \"description\":\n \"This tool uses AI to provide clinical decision support. Enter a command in natural language. The Co-Pilot maintains a 'patient context' for your current session. Start by loading a patient with a 'preop' command.\",\n \"commands\": [\n {\n \"name\": \"Pre-Op Assessment\",\n \"usage\": \"Loads patient data and provides a full pre-operative workup.\",\n \"example\": \"preop for 80kg 65yo M with HTN for a CABG\",\n },\n {\n \"name\": \"Anesthetic Plan\",\n \"usage\": \"Generates a phased anesthetic plan for the active patient.\",\n \"example\": \"plan for GA with difficult airway risk\",\n },\n {\n \"name\": \"Drug Information\",\n \"usage\": \"Provides detailed info for a drug, tailored to the active patient.\",\n \"example\": \"drug info for rocuronium\",\n },\n {\n \"name\": \"Differential Diagnosis\",\n \"usage\": \"Initiates an interactive diagnostic pathway for a clinical sign.\",\n \"example\": \"diff for intraoperative hypotension\",\n },\n {\n \"name\": \"Crisis Protocol\",\n \"usage\": \"IMMEDIATE access to critical event management protocols.\",\n \"example\": \"crisis malignant hyperthermia\",\n },\n {\n \"name\": \"Checklist Generation\",\n \"usage\": \"Creates an interactive safety checklist.\",\n \"example\": \"checklist for central line insertion\",\n },\n {\n \"name\": \"Guideline Summary\",\n \"usage\": \"Summarizes key points from major clinical guidelines.\",\n \"example\": \"guideline on ASA fasting\",\n },\n ],\n};\n\n// --- MAIN HTTP HANDLER ---\nexport default async function(req: Request): Promise {\n const reqId = `req-${Date.now()}`;\n const logger = new Logger(reqId);\n const headers = { \"Content-Type\": \"application/json\", \"Access-Control-Allow-Origin\": \"*\" };\n\n if (req.method === \"OPTIONS\") {\n return new Response(null, {\n headers: {\n ...headers,\n \"Access-Control-Allow-Methods\": \"POST, GET, OPTIONS\",\n \"Access-Control-Allow-Headers\": \"Content-Type\",\n },\n });\n }\n\n if (req.method === \"GET\") {\n return new Response(generateHtml(req.url), { headers: { \"Content-Type\": \"text/html\" } });\n }\n\n if (req.method !== \"POST\") {\n return new Response(JSON.stringify({ error: \"Method Not Allowed\" }), { status: 405, headers });\n }\n\n try {\n const body = await req.json();\n const { endpoint, command, patientContext, conversationState } = body;\n\n if (endpoint === \"full-process\") {\n const parsedData = await llm(COMMAND_PARSER_PROMPT, command, logger.log.bind(logger), \"parser-task\");\n const task = parsedData.task;\n\n if (task === \"HELP\") {\n return new Response(JSON.stringify({ task, result: HelpOutSchema.parse(helpData), patientContext }), {\n status: 200,\n headers,\n });\n }\n\n const agentPayload: UserInput = {\n task,\n data: parsedData.data,\n patientContext: { ...patientContext, ...parsedData.data },\n conversationState: null,\n };\n UserInputSchema.parse(agentPayload);\n\n const agentPrompt = getAgentPrompt(agentPayload, `task-${Date.now()}`);\n const aiResult = await llm(agentPrompt.sys, agentPrompt.user, logger.log.bind(logger), `task-${Date.now()}`);\n\n const validatedResult = await AllOutputSchemas[task].parseAsync(aiResult);\n const updatedPatientContext = task === \"PREOP\" ? agentPayload.patientContext : patientContext;\n\n return new Response(JSON.stringify({ task, result: validatedResult, patientContext: updatedPatientContext }), {\n status: 200,\n headers,\n });\n }\n\n if (endpoint === \"follow-up\") {\n const agentPayload: UserInput = { task: body.task, data: {}, patientContext, conversationState };\n UserInputSchema.parse(agentPayload);\n\n const agentPrompt = getAgentPrompt(agentPayload, `followup-${Date.now()}`);\n const aiResult = await llm(agentPrompt.sys, agentPrompt.user, logger.log.bind(logger), `followup-${Date.now()}`);\n\n const validatedResult = await AllOutputSchemas[body.task].parseAsync(aiResult);\n return new Response(JSON.stringify({ task: body.task, result: validatedResult }), { status: 200, headers });\n }\n\n return new Response(JSON.stringify({ error: \"Invalid endpoint\" }), { status: 404, headers });\n } catch (err) {\n const errorMsg = (err instanceof z.ZodError)\n ? `Validation Error: ${err.issues.map(i => `'${i.path.join(\".\")}' - ${i.message}`).join(\", \")}`\n : err.message;\n logger.log(\"ERROR\", \"Handler\", \"Request failed\", { error: errorMsg, stack: err.stack });\n return new Response(JSON.stringify({ error: errorMsg }), { status: 500, headers });\n }\n}","deleted","label",[123],"pulls","branches","envVars",{"_144":22,"_146":22},"connections",{"_144":22,"_145":22},"count","unfilledCount","emptyCount",{"_27":122,"_13":123,"_124":63,"_125":-5,"_126":87,"_127":85,"_128":46,"_47":148,"_84":130,"_131":132,"_133":134,"_135":20,"_136":-5,"_149":150,"_98":151},["D",1750885817226],"children",[],[123],["D",1750807292909],{"_11":12,"_57":96},{"_11":12,"_51":-5,"_52":96,"_34":62,"_54":55,"_56":20},{"_84":85,"_13":86,"_27":87,"_88":58,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":-5,"_94":14,"_95":12},"ctx",{"_39":-5,"_118":189,"_190":191,"_192":193,"_194":20,"_195":20,"_196":20,"_197":46,"_198":-5,"_199":-7,"_200":-7,"_201":22,"_202":20,"_203":20,"_204":-5,"_205":20,"_206":20,"_207":20,"_208":-5},"ENV",{"_160":161,"_162":163,"_164":86,"_165":166,"_167":168,"_169":170,"_171":172,"_173":174,"_175":176,"_177":178,"_179":180,"_181":182,"_183":184,"_185":186,"_187":188},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","811aa22498c9b0b5a47e8d778de579cdb990f332","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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