{lang === "zh" ? "对应 mirobody " : "Written for mirobody "}
1.5.3
{path}};
};
export const Fact = ({k, code = false, sep = ", "}) => {
const facts = {
"version": "1.5.3",
"commit": "c1aae297b4f3fad5cb87c5fc5bffc5163f7758c9",
"commitShort": "c1aae29",
"repo": "https://github.com/thetahealth/mirobody",
"python": "3.12",
"port": 18060,
"url": "http://localhost:18060",
"pgPort": 18062,
"redisPort": null,
"account": "you@mirobody.ai",
"accounts": ["you@mirobody.ai", "mom@mirobody.ai"],
"code": "111111",
"mcpUrlTtlDays": 10,
"llmKeys": ["OPENROUTER_API_KEY", "DASHSCOPE_API_KEY", "GOOGLE_API_KEY", "OPENAI_API_KEY", "ANTHROPIC_API_KEY", "DEEPSEEK_API_KEY"],
"cli": ["serve", "dev", "worker", "doctor", "fetch", "parse", "import", "resolve", "device-bundle", "mcp", "migrate-observations", "migrate-genotypes", "recode"],
"tools": {
"mcp": ["query_genetic_data", "query_health_indicators", "query_medications", "query_pharmacogenomics", "resolve_indicator", "convert_unit", "normalize_unit"],
"gated": ["query_genetic_data", "query_pharmacogenomics", "query_health_indicators", "query_medications"]
},
"readme": {
"en": {
"tagline": "Self-hosted AI health data engine: every source, one standard, answers that cite their source.",
"stages": [{
"mark": "①",
"name": "Collect",
"what": "Lab reports, wearables, phone photos, genetic files, all pulled in. The source file is kept as it was, so every indicator points back to the page it was read from."
}, {
"mark": "②",
"name": "Translate",
"what": "One name to one code, one unit to UCUM, offline and deterministic. `A1c`, `HbA1c` and `Glycated Hemoglobin` become the same test here, and `头疼` and `headache` the same complaint (ICPC-3)."
}, {
"mark": "③",
"name": "Agent",
"what": "Ask over the coded record. Trend a value by minute, hour, day, week or month; get count, min, max, avg or change over any window in one call; compare across labs and devices, because they share one code. It charts the result in its reply, reads medications and genetic variants too, and names the file every number came from."
}]
},
"zh": {
"tagline": "自托管的 AI 原生健康数据引擎：任何来源，一套标准，每个答案都有出处。",
"stages": [{
"mark": "①",
"name": "收集 Collect",
"what": "化验单、穿戴设备、手机照片、基因文件，都收进来。源文件原样留下，每一项指标都能指回它被读出来的那一页。"
}, {
"mark": "②",
"name": "转译 Translate",
"what": "一个名字解析成一个码，一个单位统一到 UCUM，全程离线、结果确定。`A1c`、`HbA1c`、`糖化血红蛋白` 在这一层变成同一项检查，`头疼` 和 `headache` 也成了同一条主诉（ICPC-3）。"
}, {
"mark": "③",
"name": "智能体 Agent",
"what": "在编码后的记录上提问。按分钟、小时、天、周、月给出趋势，一次调用就能算出计数、最小值、最大值、均值和变化量；同一个码，跨化验所、跨设备直接比较。图表画在回复里，用药记录和基因型数据也读得了，每个数字都说明出自哪份文件。"
}]
}
},
"source": {
"cli": "mirobody/cli.py",
"tools": "mirobody/agent/tools"
}
};
const value = k.split(".").reduce((o, p) => o == null ? undefined : o[p], facts);
if (value === undefined) return {"[unknown fact " + k + "]"};
const items = Array.isArray(value) ? value : [value];
return <>
{items.map((item, i) =>
{i > 0 ? sep : null}
{code ? {String(item)} : String(item)}
)}
;
};