Anesthesia Co-Pilot

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{ handleApiRequest } from \"./api.ts\";\nimport { jsContent } from \"./app.js.ts\";\nimport { htmlContent } from \"./index.html.ts\";\nimport { cssContent } from \"./styles.css.ts\";\n\n// Main HTTP handler that acts as a router\nexport default async function mainHandler(req: Request): Promise {\n const url = new URL(req.url);\n const pathname = url.pathname;\n\n // Route API requests\n if (pathname === \"/api\" && req.method === \"POST\") {\n return await handleApiRequest(req);\n }\n\n // Route OPTIONS requests for CORS preflight\n if (pathname === \"/api\" && req.method === \"OPTIONS\") {\n return await handleApiRequest(req);\n }\n\n // Route static frontend files from imported content\n switch (pathname) {\n case \"/\":\n return new Response(htmlContent, {\n headers: { \"Content-Type\": \"text/html\" },\n });\n case \"/styles.css\":\n return new Response(cssContent, {\n headers: { \"Content-Type\": \"text/css\" },\n });\n case \"/app.js\":\n return new Response(jsContent, {\n headers: { \"Content-Type\": \"application/javascript\" },\n });\n default:\n // Return a 404 for any other path\n return new Response(\"Not Found\", { status: 404 });\n }\n}","deleted","label","children",[],"path",[37],{"_35":120,"_13":121,"_38":122,"_40":-5,"_41":42,"_43":123,"_45":46,"_47":124,"_16":125,"_50":72,"_52":126,"_54":33,"_55":-5,"_56":127,"_58":128},{"_35":111,"_13":112,"_38":113,"_40":-5,"_41":42,"_43":114,"_45":46,"_47":115,"_16":116,"_50":72,"_52":117,"_54":33,"_55":-5,"_56":118,"_58":119},{"_35":103,"_13":104,"_38":105,"_40":-5,"_41":42,"_43":106,"_45":46,"_47":107,"_16":49,"_50":72,"_52":108,"_54":33,"_55":-5,"_56":109,"_58":110},{"_35":94,"_13":95,"_38":96,"_40":-5,"_41":42,"_43":97,"_45":46,"_47":98,"_16":99,"_50":72,"_52":100,"_54":33,"_55":-5,"_56":101,"_58":102},{"_35":85,"_13":86,"_38":87,"_40":-5,"_41":42,"_43":88,"_45":46,"_47":89,"_16":90,"_50":72,"_52":91,"_54":33,"_55":-5,"_56":92,"_58":93},{"_35":76,"_13":77,"_38":78,"_40":-5,"_41":42,"_43":79,"_45":46,"_47":80,"_16":81,"_50":72,"_52":82,"_54":33,"_55":-5,"_56":83,"_58":84},{"_35":67,"_13":68,"_38":69,"_40":-5,"_41":42,"_43":70,"_45":46,"_47":71,"_16":49,"_50":72,"_52":73,"_54":33,"_55":-5,"_56":74,"_58":75},"3e828158-5221-11f0-9475-f69ea79377d9","styles.css.ts","688230e2-5209-11f0-b686-f69ea79377d9",52,["D",1750896318441],"script","export const cssContent =\n `@import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&family=Lobster+Two:ital,wght@1,700&display=swap');\n\n:root {\n --bg-color: #111827;\n --card-bg: #1F2937;\n --nav-bg: rgba(17, 24, 39, 0.7);\n --border-color: #374151;\n --text-primary: #F9FAFB;\n --text-secondary: #9CA3AF;\n --accent-color: #3B82F6;\n --accent-hover: #60A5FA;\n --danger-color: #EF4444;\n --danger-bg: rgba(239, 68, 68, 0.1);\n --danger-border: #991B1B;\n --font-sans: 'Inter', sans-serif;\n}\n\nhtml {\n font-family: var(--font-sans);\n background: var(--bg-color);\n color: var(--text-primary);\n}\n\nbody {\n margin: 0;\n padding: 0;\n}\n\nkbd {\n background: #4B5563;\n padding: 2px 6px;\n border-radius: 4px;\n border: 1px solid #6B7280;\n font-family: monospace;\n}\n\n.navbar {\n position: fixed;\n top: 0;\n left: 0;\n right: 0;\n background: var(--nav-bg);\n backdrop-filter: blur(20px);\n -webkit-backdrop-filter: blur(20px);\n border-bottom: 1px solid var(--border-color);\n z-index: 1000;\n padding: 12px 25px;\n display: flex;\n align-items: center;\n justify-content: space-between;\n}\n\n.navbar-brand {\n font-family: 'Lobster Two', cursive;\n font-style: italic;\n font-weight: 700;\n font-size: 1.8rem;\n}\n\n.nav-action-btn {\n background: var(--accent-color);\n border: none;\n color: white;\n font-weight: 500;\n padding: 10px 18px;\n border-radius: 8px;\n cursor: pointer;\n transition: background-color 0.2s ease;\n}\n\n.nav-action-btn:hover {\n background-color: var(--accent-hover);\n}\n\n#patient-banner {\n padding: 90px 20px 10px;\n text-align: center;\n display: none;\n}\n\n.patient-context-card {\n background: var(--card-bg);\n border-radius: 12px;\n border: 1px solid var(--border-color);\n display: inline-flex;\n flex-wrap: wrap;\n gap: 20px;\n padding: 12px 20px;\n box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);\n}\n\n.context-item {\n text-align: left;\n}\n\n.context-item .context-item-label {\n font-size: 0.8rem;\n color: var(--text-secondary);\n}\n\n.context-item .context-item-value {\n font-size: 1rem;\n font-weight: 500;\n}\n\n#main-content {\n max-width: 800px;\n margin: 0 auto;\n padding: 100px 20px 40px;\n}\n\n.placeholder {\n text-align: center;\n color: var(--text-secondary);\n padding: 50px;\n border: 2px dashed var(--border-color);\n border-radius: 12px;\n margin-top: 10px;\n}\n\n.result-container {\n padding: 25px;\n background: var(--card-bg);\n border-radius: 12px;\n border: 1px solid var(--border-color);\n opacity: 0;\n transform: translateY(10px);\n animation: fadeIn 0.5s forwards;\n margin-top: 20px;\n}\n\n@keyframes fadeIn {\n to {\n opacity: 1;\n transform: translateY(0);\n }\n}\n\n.result-title {\n margin: 0 0 20px;\n color: var(--accent-hover);\n border-bottom: 1px solid var(--border-color);\n padding-bottom: 12px;\n font-size: 1.75rem;\n font-weight: 700;\n}\n\n.result-section {\n margin-bottom: 24px;\n}\n\n.result-section h4 {\n font-size: 1.1rem;\n color: var(--text-secondary);\n margin: 0 0 10px;\n font-weight: 600;\n padding-bottom: 6px;\n border-bottom: 1px solid #374151;\n}\n\n.result-section ul {\n list-style: none;\n padding-left: 5px;\n margin: 0;\n}\n\n.result-section li {\n margin-bottom: 8px;\n display: flex;\n align-items: flex-start;\n line-height: 1.7;\n}\n\n.result-section li::before {\n content: '•';\n color: var(--accent-color);\n margin-right: 10px;\n font-size: 1.2rem;\n line-height: 1.6;\n}\n\n.checklist-item {\n display: flex;\n align-items: center;\n padding: 8px;\n border-radius: 6px;\n cursor: pointer;\n transition: background-color 0.2s;\n}\n\n.checklist-item:hover {\n background-color: rgba(255, 255, 255, 0.05);\n}\n\n.checklist-item input {\n margin-right: 12px;\n width: 18px;\n height: 18px;\n accent-color: var(--accent-color);\n cursor: pointer;\n}\n\n.checklist-item.checked label {\n text-decoration: line-through;\n color: var(--text-secondary);\n}\n\n.diag-pathway-options {\n display: flex;\n flex-wrap: wrap;\n gap: 12px;\n margin-top: 10px;\n}\n\n.diag-option-btn {\n background: #2b3a4f;\n border: 1px solid var(--border-color);\n color: var(--text-primary);\n padding: 10px 15px;\n border-radius: 8px;\n cursor: pointer;\n transition: all 0.2s ease;\n}\n\n.diag-option-btn:hover {\n background-color: var(--accent-color);\n color: white;\n}\n\n.crisis-container {\n border-color: var(--danger-border);\n background: var(--danger-bg);\n}\n\n.crisis-title {\n color: var(--danger-color);\n}\n\n.crisis-container li::before {\n color: var(--danger-color);\n}\n\n.disclaimer {\n font-size: 0.8em;\n font-style: italic;\n color: var(--text-secondary);\n margin-top: 20px;\n padding-top: 15px;\n border-top: 1px solid var(--border-color);\n}\n\n.error-msg,\n.loading-indicator {\n text-align: center;\n padding: 20px;\n font-size: 1.1em;\n}\n\n.error-msg {\n color: #F87171;\n background: var(--danger-bg);\n border: 1px solid var(--danger-border);\n border-radius: 8px;\n}\n\n.modal-overlay {\n position: fixed;\n top: 0;\n left: 0;\n width: 100%;\n height: 100%;\n background: rgba(17, 24, 39, 0.8);\n backdrop-filter: blur(8px);\n display: none;\n align-items: flex-start;\n justify-content: center;\n padding-top: 15vh;\n z-index: 2000;\n}\n\n.modal-overlay.visible {\n display: flex;\n}\n\n.modal-content {\n width: 100%;\n max-width: 600px;\n background: var(--card-bg);\n border-radius: 12px;\n border: 1px solid var(--border-color);\n}\n\n#command-input {\n width: 100%;\n background: transparent;\n border: none;\n color: var(--text-primary);\n font-size: 1.25rem;\n padding: 16px;\n outline: none;\n}\n\n#command-palette-results {\n max-height: 300px;\n overflow-y: auto;\n padding: 8px;\n border-top: 1px solid var(--border-color);\n}\n\n.palette-item {\n display: flex;\n align-items: center;\n padding: 12px 16px;\n border-radius: 8px;\n cursor: pointer;\n}\n\n.palette-item.active {\n background-color: var(--accent-color);\n color: #fff;\n}\n\n.palette-item .icon {\n margin-right: 12px;\n font-size: 1.2rem;\n width: 24px;\n text-align: center;\n}\n\n.palette-item .name {\n flex-grow: 1;\n font-weight: 500;\n}\n\n.palette-item .type {\n color: var(--text-secondary);\n font-size: 0.8rem;\n}\n\n.palette-item.active .type {\n color: #fff;\n}\n\n/* --- DYNAMIC FORM STYLES --- */\n.dynamic-form {\n display: flex;\n flex-direction: column;\n gap: 24px;\n margin-top: 16px;\n}\n\n.form-group {\n display: flex;\n flex-direction: column;\n}\n\n.form-fieldset {\n border: 1px solid var(--border-color);\n border-radius: 8px;\n padding: 16px;\n display: flex;\n flex-direction: column;\n gap: 16px;\n}\n\n.form-fieldset legend {\n padding: 0 8px;\n font-weight: 600;\n color: var(--text-secondary);\n}\n\n.form-field {\n display: flex;\n flex-direction: column;\n gap: 6px;\n}\n\n.dynamic-form label {\n font-size: 0.9rem;\n font-weight: 500;\n color: var(--text-secondary);\n}\n\n.dynamic-form input[type=\"text\"],\n.dynamic-form textarea {\n width: 100%;\n background-color: var(--bg-color);\n color: var(--text-primary);\n border: 1px solid var(--border-color);\n border-radius: 6px;\n padding: 10px;\n font-family: var(--font-sans);\n font-size: 1rem;\n transition: border-color 0.2s, box-shadow 0.2s;\n box-sizing: border-box; /* Important */\n}\n\n.dynamic-form input[type=\"text\"]:focus,\n.dynamic-form textarea:focus {\n outline: none;\n border-color: var(--accent-color);\n box-shadow: 0 0 0 2px rgba(59, 130, 246, 0.4);\n}\n\n.dynamic-form textarea {\n min-height: 100px;\n resize: vertical;\n}\n\n.form-actions {\n display: flex;\n justify-content: flex-end;\n margin-top: 16px;\n}\n\n.form-actions button {\n background: var(--accent-color);\n border: none;\n color: white;\n font-weight: 500;\n padding: 10px 18px;\n border-radius: 8px;\n cursor: pointer;\n transition: background-color 0.2s ease;\n}\n\n.form-actions button:hover {\n background-color: var(--accent-hover);\n}\n`;",[],[68],"e5dbca7a-520f-11f0-a99d-f69ea79377d9","schemas.ts","b0e0862c-5209-11f0-b0dd-f69ea79377d9",48,["D",1750888868274],4,"import { z } from \"npm:zod\";\n\nexport const TaskEnum = z.enum([\"PREOP\", \"DRUG\", \"DIAG\", \"CHECKLIST\", \"GUIDELINE\", \"PLAN\", \"CRISIS\", \"HELP\"]);\n\nexport const ClinBaseSchema = z.object({\n ptName: z.string().optional().nullable(),\n ptAge: z.number().optional().nullable(),\n ptWtKg: z.number().optional().nullable(),\n asa: z.enum([\"ASA I\", \"ASA II\", \"ASA III\", \"ASA IV\", \"ASA V\", \"ASA VI\", \"ASA E\"]).optional().nullable(),\n procName: z.string().min(1, \"Procedure name is required.\").optional().nullable(),\n comorb: z.string().optional().nullable(),\n allergies: z.string().optional().nullable(),\n meds: z.string().optional().nullable(),\n carePhase: z.enum([\"pre-op\", \"intra-op\", \"post-op\"]).optional().nullable(),\n});\n\nexport const UserInputSchema = z.object({\n task: TaskEnum,\n data: ClinBaseSchema.partial().and(z.record(z.any())),\n patientContext: ClinBaseSchema.partial().optional(),\n conversationState: z.any().optional(),\n}).refine(inp => {\n const d = { ...inp.patientContext, ...inp.data };\n if (inp.conversationState) return true;\n switch (inp.task) {\n case \"DRUG\":\n return !!d.drug;\n case \"DIAG\":\n return !!d.sign;\n case \"CHECKLIST\":\n return d.type === \"custom\" ? !!d.customTopic : !!d.type;\n case \"GUIDELINE\":\n return !!d.topic;\n case \"CRISIS\":\n return !!d.topic;\n case \"PREOP\":\n case \"PLAN\":\n return !!d.procName;\n case \"HELP\":\n return true;\n default:\n return true;\n }\n}, { message: \"Missing a required field for the selected task.\" });\n\nexport type UserInput = z.infer;\n\nconst 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.\";\nexport const BaseOutSchema = z.object({ disclaimer: z.string().default(DISCLAIMER) });\n\nexport const POutSchema = BaseOutSchema.extend({\n assessment: z.object({\n patientSummary: z.string().optional(),\n procedure: z.union([z.string(), z.object({}).passthrough()]).optional(),\n keyRisks: z.array(z.object({ risk: z.string(), rationale: z.string() })).optional(),\n recommendedInvestigations: z.array(z.string()).optional(),\n }).optional(),\n plan: z.object({\n anestheticType: z.string().optional(),\n monitoring: z.array(z.string()).optional(),\n medicationManagement: z.array(z.string()).optional(),\n }).optional(),\n summary: z.string().optional().describe(\"A fallback summary if the structured data cannot be generated.\"),\n});\n\n// -- MODIFICATION IS HERE: 'drug' is now a union of string or object. --//\nexport const DOutSchema = BaseOutSchema.extend({\n drug: z.union([\n z.string(),\n z.object({\n name: z.string(),\n }).passthrough(),\n ]),\n dosing: z.object({\n general: z.string().optional(),\n adjustments: z.array(z.object({ population: z.string(), adjustment: z.string() })).optional(),\n infusion: z.string().optional(),\n }).optional(),\n interactions: z.array(\n z.object({ drug: z.string(), interaction: z.string(), severity: z.enum([\"High\", \"Moderate\", \"Low\"]) }),\n ).optional(),\n contraindications: z.array(z.string()).optional(),\n adverseEffects: z.array(z.string()).optional(),\n pharmacology: z.object({ mechanism: z.string(), onset: z.string(), duration: z.string() }).optional(),\n});\n\nexport const DiagOutSchema = BaseOutSchema.extend({\n sign: z.string(),\n initialActions: z.array(z.string()).optional(),\n interactivePathway: z.object({\n initialQuestion: z.string(),\n options: z.array(z.object({\n response: z.string(),\n followUpQuestion: z.string().optional(),\n differential: z.string().optional(),\n rationale: z.string().optional(),\n })),\n }).optional(),\n});\n\nexport const ChkOutSchema = BaseOutSchema.extend({\n title: z.string(),\n items: z.array(z.object({\n id: z.string(),\n label: z.string(),\n checked: z.boolean().default(false),\n subItems: z.array(z.object({ id: z.string(), label: z.string(), checked: z.boolean().default(false) })).optional(),\n })).optional(),\n});\n\nexport const GOutSchema = BaseOutSchema.extend({\n topic: z.string(),\n keyRecommendations: z.array(z.object({\n recommendation: z.string(),\n strength: z.string().optional(),\n })).optional(),\n sourceUrl: z.string().url().optional(),\n});\n\nexport const CPlanOutSchema = BaseOutSchema.extend({\n focus: z.string().optional(),\n planByPhase: z.object({\n premedication: z.array(z.string()).optional(),\n induction: z.array(z.string()).optional(),\n maintenance: z.array(z.string()).optional(),\n emergence: z.array(z.string()).optional(),\n postOp: z.array(z.string()).optional(),\n }).optional(),\n contingencyPlanning: z.array(z.object({\n problem: z.string(),\n strategy: z.array(z.string()),\n })).optional(),\n visualAidSuggestion: z.string().optional(),\n});\n\nexport const CrisisOutSchema = BaseOutSchema.extend({\n crisisName: z.string(),\n initialSteps: z.array(z.string()).optional(),\n treatmentProtocol: z.array(z.object({\n step: z.string(),\n details: z.string(),\n drugDose: z.string().optional(),\n })).optional(),\n followUpCare: z.array(z.string()).optional(),\n source: z.string().optional(),\n});\n\nexport const HelpOutSchema = BaseOutSchema.extend({\n title: z.string(),\n description: z.string(),\n commands: z.array(z.object({ name: z.string(), usage: z.string(), example: z.string() })),\n});\n\nexport const AllOutputSchemas = {\n PREOP: POutSchema,\n DRUG: DOutSchema,\n DIAG: DiagOutSchema,\n CHECKLIST: ChkOutSchema,\n GUIDELINE: GOutSchema,\n PLAN: CPlanOutSchema,\n CRISIS: CrisisOutSchema,\n HELP: HelpOutSchema,\n};",[],[77],"d8cb7e3e-520f-11f0-a094-f69ea79377d9","prompts.ts","05d75cdc-520a-11f0-bb75-f69ea79377d9",47,["D",1750888846358],5,"import {\n ChkOutSchema,\n CPlanOutSchema,\n CrisisOutSchema,\n DiagOutSchema,\n DOutSchema,\n GOutSchema,\n POutSchema,\n UserInput,\n} from \"./schemas.ts\";\n\n// -- MODIFICATION IS HERE: Removed the rule forcing 'drug' to be a string. --//\nexport const COMMAND_PARSER_PROMPT =\n `You are an expert AI router for an anesthesiology support tool. Your task is to analyze the user's raw text command and convert it into a structured JSON object. The user is a medical professional. Infer the 'task' and extract all clinical entities. The available tasks are: \"PREOP\", \"PLAN\", \"DRUG\", \"DIAG\", \"CHECKLIST\", \"GUIDELINE\", \"CRISIS\", \"HELP\". \"CRISIS\" is triggered by terms like 'crisis', 'emergency', 'protocol for' with known critical events. Respond STRICTLY with a single JSON object with \"task\" and \"data\" keys. Data keys must be: ptName, ptAge, ptWtKg, asa, procName, comorb, allergies, meds, carePhase, drug, sign, type, topic, focus. The 'carePhase' key, if present, MUST be one of \"pre-op\", \"intra-op\", or \"post-op\"; map terms like \"post-induction\" to \"intra-op\". If an optional entity is not present, either omit it or set it to null.`;\n\nexport const getAgentPrompt = (taskPayload: UserInput, tid: string) => {\n const { task, data, patientContext, conversationState } = taskPayload;\n const patientContextText = `Patient Context: Name: ${patientContext?.ptName ?? \"N/A\"}, Age: ${\n patientContext?.ptAge ?? \"N/A\"\n }, Weight: ${patientContext?.ptWtKg ?? \"N/A\"}kg, ASA: ${patientContext?.asa ?? \"N/A\"}, Procedure: ${\n patientContext?.procName ?? \"N/A\"\n }, Comorbidities: ${patientContext?.comorb ?? \"N/A\"}, Allergies: ${\n patientContext?.allergies ?? \"N/A\"\n }, Current Meds: ${patientContext?.meds ?? \"N/A\"}`;\n\n // -- MODIFICATION IS HERE: Add a helper to handle string or object for 'drug' --//\n const getDrugName = (drug: any): string => {\n if (typeof drug === \"string\") {\n return drug;\n }\n if (typeof drug === \"object\" && drug !== null && drug.name) {\n return drug.name;\n }\n return \"the specified drug\";\n };\n\n const prompts = {\n PREOP: {\n sys:\n `You are an AI Anesthesiology Consultant. Generate a structured pre-operative assessment. Respond STRICTLY with a JSON object matching this Zod schema: ${POutSchema.toString()}. If the user provides enough detail, generate the full structured 'assessment' and 'plan'. If the query is too simple, provide a text 'summary' instead.`,\n user: `Generate the pre-op assessment. ${patientContextText}.`,\n },\n DRUG: {\n sys:\n `You are an AI Clinical Pharmacologist specializing in Anesthesia. Provide detailed, structured information for the requested drug. Respond STRICTLY with a JSON object matching this Zod schema: ${DOutSchema.toString()}. If patient context is available, provide specific dosing adjustments. If context includes other medications, screen for critical interactions.`,\n user: `Generate drug info for: ${getDrugName(data.drug)}. ${patientContextText}`,\n },\n DIAG: {\n sys:\n `You are an AI Anesthesia Diagnostic Aid. Your goal is to guide a clinician through a differential diagnosis using an interactive, branching pathway. Respond STRICTLY with a JSON object matching this Zod schema: ${DiagOutSchema.toString()}. If this is the start of a conversation, generate the initial question. If conversationState is provided, analyze the user's lastResponse and the history. Generate the NEXT logical follow-up question. If the pathway has reached a logical conclusion, provide the final differential.`,\n user: conversationState\n ? `Continue the diagnostic pathway. ${patientContextText}. The user's last response to the question \"${\n conversationState.history[conversationState.history.length - 1].question\n }\" was \"${conversationState.lastResponse}\". Generate the next step.`\n : `Start a new diagnostic pathway for the sign: \"${data.sign}\". ${patientContextText}`,\n },\n CHECKLIST: {\n sys:\n `You are an AI Anesthesia Safety Officer. Create an interactive checklist. Respond STRICTLY with a JSON object matching this Zod schema: ${ChkOutSchema.toString()}. Each item must have a unique 'id' and a default 'checked' state of false.`,\n user: `Generate a checklist for: ${data.type === \"custom\" ? data.customTopic : data.type}. Procedure context: ${\n patientContext?.procName || \"N/A\"\n }.`,\n },\n GUIDELINE: {\n sys:\n `You are an AI Clinical Guideline Summarizer. Summarize key, actionable recommendations. Respond STRICTLY with a JSON object matching this Zod schema: ${GOutSchema.toString()}. Focus on actionable recommendations. If possible, identify strength of recommendation and ALWAYS include a 'sourceUrl' if known.`,\n user: `Summarize the guidelines for: \"${data.topic}\".`,\n },\n PLAN: {\n sys:\n `You are an AI Anesthesia Case Planner. Brainstorm a structured anesthetic plan organized by phase. Respond STRICTLY with a JSON object matching this Zod schema: ${CPlanOutSchema.toString()}. Emphasize contingency planning for high-risk cases. Identify at least one major potential problem and outline a clear management strategy.`,\n user: `Generate an anesthetic plan. Focus: \"${\n data.focus || \"General anesthetic management\"\n }\". ${patientContextText}`,\n },\n CRISIS: {\n sys:\n `You are an AI Critical Event Manager. An emergency is signaled. Immediately provide a clear, actionable protocol. Respond STRICTLY with a JSON object matching this Zod schema: ${CrisisOutSchema.toString()}. If patient weight is known, calculate specific drug doses. Order steps by priority. Cite the official source (e.g., MHAUS, ASRA).`,\n user: `Provide the crisis protocol for: \"${data.topic}\". ${patientContextText}`,\n },\n HELP: { sys: \"\", user: \"\" },\n };\n return prompts[task];\n};",[],[86],"fb0e19a8-5209-11f0-8079-f69ea79377d9","logger.ts","f1e4e816-5209-11f0-baef-f69ea79377d9",20,["D",1750886326857],2,"export type LogLevel = \"DEBUG\" | \"INFO\" | \"WARN\" | \"ERROR\";\nexport type LogEntry = { ts: string; mid: string; tid?: string; lvl: LogLevel; comp: string; msg: string; dtls?: any };\n\nexport class Logger {\n _logs: LogEntry[] = [];\n midCtx?: string;\n\n constructor(mid?: string) {\n this.midCtx = mid;\n }\n\n log(lvl: LogLevel, comp: string, msg: string, dtls?: any, mid?: string, tid?: string) {\n const entry: LogEntry = {\n ts: new Date().toISOString(),\n mid: mid || this.midCtx || \"N/A\",\n tid,\n lvl,\n comp,\n msg,\n dtls: dtls === undefined ? undefined : JSON.parse(JSON.stringify(dtls)),\n };\n this._logs.push(entry);\n console.log(`[${entry.lvl}] [${entry.comp}] ${entry.msg}`, dtls ? `| ${JSON.stringify(dtls)}` : \"\");\n }\n\n getLogs = (): LogEntry[] => JSON.parse(JSON.stringify(this._logs));\n}",[],[95],"3c4d6f46-520e-11f0-93d3-f69ea79377d9","index.html.ts","5dcf73da-5209-11f0-b5d3-f69ea79377d9",39,["D",1750888154311],"export const htmlContent = `\n\n\n \n \n Anesthesia Co-Pilot\n \n\n\n \n \n

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`;",[],[104],"74968782-5210-11f0-b43f-f69ea79377d9","app.js.ts","9547aa3a-5209-11f0-b5d3-f69ea79377d9",51,["D",1750889107724],9,"export const jsContent = `const $ = s => document.querySelector(s);\nconst API_URL = '/api';\nconst mainContent = $('#main-content');\nconst patientBanner = $('#patient-banner');\nconst patientContextDisplay = $('#patient-context-display');\nconst commandPalette = $('#command-palette');\nconst commandInput = $('#command-input');\nconst resultsContainer = $('#command-palette-results');\nlet patientContext = {};\nlet conversationState = null;\nlet activePaletteIndex = 0;\n\nconst defaultCommands = [\n { icon: '🧑‍⚕️', name: 'Pre-Op Assessment', example: 'preop for 75yo with CAD for CABG' },\n { icon: '💊', name: 'Drug Information', example: 'drug info for propofol' },\n { icon: '🤔', name: 'Differential Diagnosis', example: 'diff for hypotension post-induction' },\n { icon: '📝', name: 'Anesthetic Plan', example: 'plan for robotic prostatectomy' },\n { icon: '🚨', name: 'Crisis Protocol', example: 'crisis malignant hyperthermia' },\n { icon: '✅', name: 'Generate Checklist', example: 'checklist for timeout' },\n { icon: '📚', name: 'Summarize Guideline', example: 'guideline for ASA fasting' },\n];\n\nconst escapeHtml = (unsafe) => unsafe?.toString().replace(/&/g, \"&\").replace(//g, \">\").replace(/\"/g, \""\").replace(/'/g, \"'\") || '';\n\n// --- NEW DYNAMIC FORM GENERATION LOGIC ---\n\n/**\n * Converts a camelCase or snake_case key into a human-readable Title Case label.\n * @param {string} key The object key.\n * @returns {string} A formatted label.\n */\nconst keyToLabel = (key) => {\n if (!key) return '';\n const result = key.replace(/_/g, ' ').replace(/([A-Z])/g, ' $1');\n return result.charAt(0).toUpperCase() + result.slice(1);\n};\n\n/**\n * Recursively creates an HTML form from a JSON object.\n * @param {object} data The object to convert into a form.\n * @param {string} path The current path for generating input names.\n * @returns {string} The generated HTML for the form fields.\n */\nconst createFormFromObject = (data, path = 'drug') => {\n let formHtml = '';\n for (const key in data) {\n if (!Object.prototype.hasOwnProperty.call(data, key)) continue;\n\n const value = data[key];\n const newPath = \\`\\${path}[\\${key}]\\`;\n const label = keyToLabel(key);\n\n formHtml += \\`

\\`;\n\n if (Array.isArray(value)) {\n formHtml += \\`

\\${label}\\`;\n value.forEach((item, index) => {\n if (typeof item === 'string') {\n const itemPath = \\`\\${newPath}[\\${index}]\\`;\n formHtml += \\`

Item \\${index + 1}

\\`;\n }\n // Future enhancement: handle array of objects\n });\n formHtml += \\`

\\`;\n } else if (typeof value === 'object' && value !== null) {\n formHtml += \\`

\\${label}\\`;\n formHtml += createFormFromObject(value, newPath); // Recursion\n formHtml += \\`

\\`;\n } else {\n const isTextArea = typeof value === 'string' && value.length > 80;\n if (isTextArea) {\n formHtml += \\`

\\${label}

\\`;\n } else {\n formHtml += \\`

\\${label}

\\`;\n }\n }\n formHtml += \\`

\\`;\n }\n return formHtml;\n};\n// --- END NEW DYNAMIC FORM LOGIC ---\n\nconst renderPatientBanner = () => {\n if (!patientContext || !patientContext.procName) {\n patientBanner.style.display = 'none';\n return;\n }\n const ptName = patientContext.ptName ? \\`\\${escapeHtml(patientContext.ptName)}, \\` : '';\n patientContextDisplay.innerHTML = \\`\n

PATIENT

\\${ptName}\\${patientContext.ptAge || 'N/A'} yr, \\${patientContext.ptWtKg || 'N/A'} kg

ASA

\\${patientContext.asa || 'N/A'}

PROCEDURE

\\${escapeHtml(patientContext.procName)}

\n \\`;\n patientBanner.style.display = 'block';\n};\n\nconst renderSection = (title, content, itemRenderer) => {\n if (!content || (Array.isArray(content) && content.length === 0)) return '';\n const itemsHtml = Array.isArray(content) ? '

\\${escapeHtml(item)}

' : \\`

\\${escapeHtml(String(content)).replace(/\\\\n/g, '
')}

\\`;\n return \\`

\\${title}

\\${itemsHtml}

\\`;\n};\n\nconst renderResult = (task, result, container) => {\n let html = '';\n let isCrisis = false;\n\n const formatProcedure = (proc) => {\n if (!proc) return 'N/A';\n if (typeof proc === 'string') return proc;\n if (typeof proc === 'object' && proc !== null) return proc.name || JSON.stringify(proc);\n return 'N/A';\n };\n\n const formatDrugName = (drug) => {\n if (typeof drug === 'string') {\n return escapeHtml(drug);\n }\n if (typeof drug === 'object' && drug !== null && drug.name) {\n return escapeHtml(drug.name);\n }\n return 'N/A';\n };\n\n switch (task) {\n case 'PREOP':\n if (result.assessment || result.plan) {\n html += \\`

Pre-Operative Assessment

\\`;\n html += renderSection('Patient Summary', result.assessment?.patientSummary);\n html += renderSection('Procedure', formatProcedure(result.assessment?.procedure));\n html += renderSection('Key Anesthetic Risks', result.assessment?.keyRisks, item => \\`

\\${escapeHtml(item.risk)}: \\${escapeHtml(item.rationale)}

\\`);\n html += renderSection('Recommended Investigations', result.assessment?.recommendedInvestigations);\n html += renderSection('Anesthetic Type', result.plan?.anestheticType);\n html += renderSection('Monitoring Plan', result.plan?.monitoring);\n html += renderSection('Medication Management', result.plan?.medicationManagement);\n } else if (result.summary) {\n html += \\`

Pre-Operative Summary

\\`;\n html += renderSection('Summary', result.summary);\n }\n break;\n \n // --- MODIFICATION IS HERE: Render a dynamic form for the DRUG task ---\n case 'DRUG':\n const drugName = formatDrugName(result.drug);\n html += \\`

Drug Info: \\${drugName}

\\`;\n if (typeof result.drug === 'object') {\n const formContent = createFormFromObject(result.drug);\n html += \\`\\`;\n } else {\n // Fallback for simple string result\n html += \\`

Received basic information for \\${drugName}.

\\`;\n }\n break;\n // --- END MODIFICATION ---\n\n case 'PLAN':\n html += \\`

Anesthetic Plan: \\${escapeHtml(result.focus || patientContext.procName)}

\\`;\n if (result.planByPhase) {\n html += renderSection('Premedication', result.planByPhase.premedication);\n html += renderSection('Induction', result.planByPhase.induction);\n html += renderSection('Maintenance', result.planByPhase.maintenance);\n html += renderSection('Emergence', result.planByPhase.emergence);\n html += renderSection('Post-Operative Care', result.planByPhase.postOp);\n }\n html += renderSection('Contingency Planning', result.contingencyPlanning, item => \\`

\\${escapeHtml(item.problem)}:

\\${escapeHtml(s)}

\\`);\n break;\n case 'GUIDELINE':\n html += \\`

Guideline: \\${escapeHtml(result.topic)}

\\`;\n html += renderSection('Key Recommendations', result.keyRecommendations, item => \\`

\\${escapeHtml(item.recommendation)} \\${item.strength ? \\`(\\${escapeHtml(item.strength)})\\` : ''}

\\`);\n if (result.sourceUrl) html += \\`

Source

\\${result.sourceUrl}

\\`;\n break;\n case 'CHECKLIST':\n html += \\`

Checklist: \\${escapeHtml(result.title)}

\\${escapeHtml(item.label)}

';\n break;\n case 'CRISIS':\n isCrisis = true;\n html += \\`

CRISIS: \\${escapeHtml(result.crisisName)}

\\`;\n html += renderSection('1. Initial Steps', result.initialSteps);\n html += renderSection('2. Treatment Protocol', result.treatmentProtocol, item => \\`

\\${escapeHtml(item.step)}: \\${escapeHtml(item.details)} \\${item.drugDose ? \\`[\\${escapeHtml(item.drugDose)}]\\` : ''}

\\`);\n html += renderSection('3. Follow-up Care', result.followUpCare);\n if (result.source) html += renderSection('Source', result.source);\n break;\n case 'HELP':\n html += \\`

\\${escapeHtml(result.title)}

\\`;\n html += \\`

\\${escapeHtml(result.description)}

\\`;\n html += renderSection('Available Commands', result.commands, item => \\`

\\${escapeHtml(item.name)}: \\${escapeHtml(item.usage)}
Example: \"\\${escapeHtml(item.example)}\"

\\`);\n break;\n case 'DIAG':\n conversationState = { history: [], lastResponse: null, sign: result.sign };\n html += \\`

Differential Diagnosis for: \\${escapeHtml(result.sign)}

\\`;\n html += renderSection('Initial Actions', result.initialActions);\n html += \\`

\\`;\n break;\n default:\n html = \\`

\\${task || 'Result'}

\\${escapeHtml(JSON.stringify(result, null, 2))}

\\`;\n }\n container.innerHTML = \\`

\\${html}

Disclaimer: \\${escapeHtml(result.disclaimer)}

\\`;\n\n if (task === 'DIAG' && result.interactivePathway) renderDiagPathway(container.querySelector('.diag-pathway-section'), result.interactivePathway);\n container.querySelectorAll('.checklist-item').forEach(item => {\n item.addEventListener('click', e => {\n const cb = item.querySelector('input[type=\"checkbox\"]');\n if (e.target !== cb) cb.checked = !cb.checked;\n item.classList.toggle('checked', cb.checked);\n });\n });\n // Add a listener to prevent default form submission\n const form = container.querySelector('.dynamic-form');\n if(form) {\n form.addEventListener('submit', (e) => {\n e.preventDefault();\n console.log(\"Form submission intercepted. Add save logic here.\");\n alert(\"Form submission handled in console. This is where you would save the data.\");\n });\n }\n};\n\nconst renderDiagPathway = (element, pathway) => {\n const onOptionClick = async (option) => {\n element.innerHTML = '

Thinking...

';\n conversationState.history.push({ question: pathway.initialQuestion, options: pathway.options.map(o => o.response) });\n conversationState.lastResponse = option.response;\n const res = await fetch(API_URL, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ endpoint: 'follow-up', task: 'DIAG', patientContext: patientContext, conversationState: conversationState }) });\n const data = await res.json();\n if (!res.ok) {\n element.innerHTML = \\`

\\${data.error || 'Follow-up failed.'}

\\`;\n return;\n }\n renderDiagPathway(element, data.result.interactivePathway);\n };\n let html = \\`

\\${escapeHtml(pathway.initialQuestion)}

\\`;\n pathway.options.forEach(opt => {\n if (opt.differential && !opt.followUpQuestion) {\n html += \\`

Final Differential: \\${escapeHtml(opt.differential)}

\\${escapeHtml(opt.rationale)}

\\`;\n } else {\n html += \\`\\`;\n }\n });\n element.innerHTML = html + '

';\n element.querySelectorAll('.diag-option-btn').forEach((btn, i) => btn.addEventListener('click', () => onOptionClick(pathway.options[i])));\n};\n\nconst handleCommand = async () => {\n const commandText = commandInput.value.trim();\n if (!commandText) return;\n togglePalette(false);\n mainContent.innerHTML = '

Analyzing & Executing...

';\n try {\n const res = await fetch(API_URL, { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ endpoint: 'full-process', command: commandText, patientContext: patientContext }) });\n const data = await res.json();\n if (!res.ok) throw new Error(data.error || 'API request failed.');\n patientContext = data.patientContext || {};\n renderPatientBanner();\n const container = document.createElement('div');\n renderResult(data.task, data.result, container);\n mainContent.innerHTML = '';\n mainContent.appendChild(container);\n commandInput.value = '';\n } catch (err) {\n mainContent.innerHTML = \\`

\\${escapeHtml(err.message)}

\\`;\n }\n};\n\nconst renderPaletteSuggestions = () => {\n const query = commandInput.value.toLowerCase();\n const filtered = query ? defaultCommands.filter(cmd => cmd.name.toLowerCase().includes(query) || cmd.example.toLowerCase().includes(query)) : defaultCommands;\n resultsContainer.innerHTML = '';\n activePaletteIndex = 0;\n filtered.forEach((item, index) => {\n const el = document.createElement('div');\n el.className = 'palette-item';\n if (index === activePaletteIndex) el.classList.add('active');\n el.innerHTML = \\`\\${item.icon}\\${item.name}\\${item.example}\\`;\n el.addEventListener('click', () => {\n commandInput.value = item.example;\n handleCommand();\n });\n resultsContainer.appendChild(el);\n });\n};\n\nconst togglePalette = (show) => {\n commandPalette.classList.toggle('visible', show);\n if (show) {\n commandInput.value = '';\n commandInput.focus();\n renderPaletteSuggestions();\n }\n};\n\n$('#new-command-btn').addEventListener('click', () => togglePalette(true));\ncommandPalette.addEventListener('click', (e) => {\n if (e.target === commandPalette) togglePalette(false);\n});\n\ncommandInput.addEventListener('input', renderPaletteSuggestions);\n\ncommandInput.addEventListener('keydown', e => {\n const items = resultsContainer.querySelectorAll('.palette-item');\n if (items.length === 0) {\n if (e.key === 'Enter') handleCommand();\n return;\n }\n const active = items[activePaletteIndex];\n if (e.key === 'ArrowDown') {\n e.preventDefault();\n active?.classList.remove('active');\n activePaletteIndex = (activePaletteIndex + 1) % items.length;\n items[activePaletteIndex]?.classList.add('active');\n } else if (e.key === 'ArrowUp') {\n e.preventDefault();\n active?.classList.remove('active');\n activePaletteIndex = (activePaletteIndex - 1 + items.length) % items.length;\n items[activePaletteIndex]?.classList.add('active');\n } else if (e.key === 'Enter') {\n e.preventDefault();\n active ? active.click() : handleCommand();\n }\n});\n\ndocument.addEventListener('keydown', e => {\n if ((e.ctrlKey || e.metaKey) && e.key === 'k') {\n e.preventDefault();\n togglePalette(true);\n }\n if (e.key === 'Escape' && commandPalette.classList.contains('visible')) {\n togglePalette(false);\n }\n});\n`;",[],[112],"e55aaba2-520a-11f0-aa9a-f69ea79377d9","api.ts","25a9745a-520a-11f0-9b74-f69ea79377d9",31,["D",1750886719942],3,"import { fetch } from \"https://esm.town/v/std/fetch\";\nimport { OpenAI } from \"https://esm.town/v/std/openai\";\nimport { z } from \"npm:zod\";\nimport { Logger } from \"./logger.ts\";\nimport { COMMAND_PARSER_PROMPT, getAgentPrompt } from \"./prompts.ts\";\nimport { AllOutputSchemas, HelpOutSchema, UserInput, UserInputSchema } from \"./schemas.ts\";\n\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: ${err.message}`);\n }\n};\n\nconst helpData = {\n \"disclaimer\":\n \"AI generated for informational purposes only. This is not medical advice. Verify all information and exercise independent clinical judgment. Adhere to all institutional protocols and standards of care.\",\n \"title\": \"Anesthesia Co-Pilot Help\",\n \"description\":\n \"This tool uses AI to provide clinical decision support. Enter a command in natural language. The Co-Pilot maintains a 'patient context' for your current session. Start by loading a patient with a 'preop' command.\",\n \"commands\": [\n {\n \"name\": \"Pre-Op Assessment\",\n \"usage\": \"Loads patient data and provides a full pre-operative workup.\",\n \"example\": \"preop for 80kg 65yo M with HTN for a CABG\",\n },\n {\n \"name\": \"Anesthetic Plan\",\n \"usage\": \"Generates a phased anesthetic plan for the active patient.\",\n \"example\": \"plan for GA with difficult airway risk\",\n },\n {\n \"name\": \"Drug Information\",\n \"usage\": \"Provides detailed info for a drug, tailored to the active patient.\",\n \"example\": \"drug info for rocuronium\",\n },\n {\n \"name\": \"Differential Diagnosis\",\n \"usage\": \"Initiates an interactive diagnostic pathway for a clinical sign.\",\n \"example\": \"diff for intraoperative hypotension\",\n },\n {\n \"name\": \"Crisis Protocol\",\n \"usage\": \"IMMEDIATE access to critical event management protocols.\",\n \"example\": \"crisis malignant hyperthermia\",\n },\n {\n \"name\": \"Checklist Generation\",\n \"usage\": \"Creates an interactive safety checklist.\",\n \"example\": \"checklist for central line insertion\",\n },\n {\n \"name\": \"Guideline Summary\",\n \"usage\": \"Summarizes key points from major clinical guidelines.\",\n \"example\": \"guideline on ASA fasting\",\n },\n ],\n};\n\nexport async function handleApiRequest(req: Request): Promise {\n const reqId = `req-${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 !== \"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 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