This document describes the HTTP communication of LibreLinkUp which functions as follower app to receive cgm data. Some data in the responses were masked.
This dump was created on an android device with LibreLinkUp app. Capturing was done with HttpToolkit over adb.
The global api url is https://api.libreview.io. If you are placed in europe you can use https://api-eu.libreview.io instead.
The following list includes general purpose headers but also specific ones which are required to get correct responses:
'accept-encoding': 'gzip'
'cache-control': 'no-cache'
'connection': 'Keep-Alive'
'content-type': 'application/json'
The following headers are required and needs to be setted to get correct responses. There might be alternative values which are not known.
'product': 'llu.android'
'version': '4.2.1',
To get cgm data from the api it is required to fire at least three requests:
- Login and retrieve JWT Token
- Get connections of patients to get
patientId - Retrieve cgm data of specific
patient
This request expects credentials and will return a JWT Token which is required to call auth-needed endpoints.
Endpoint POST /llu/auth/login
Request Body
{
"email": "your-libre-email@provider.com",
"password": "$yOurVerySecretPasSw0rd!"
}
Response
{
"status": 0,
"data": {
"user": {
"id": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"firstName": "John",
"lastName": "Doe",
"email": "your-libre-email@provider.com",
"country": "DE",
"uiLanguage": "de-DE",
"communicationLanguage": "de-DE",
"accountType": "pat",
"uom": "1",
"dateFormat": "2",
"timeFormat": "2",
"emailDay": [
1
],
"system": {
"messages": {
"firstUsePhoenix": 1652399492,
"firstUsePhoenixReportsDataMerged": 1652399492,
"lluGettingStartedBanner": 1652399555,
"lluNewFeatureModal": 1652399526,
"lluOnboarding": 1652399536,
"lvWebPostRelease": "3.9.47"
}
},
"details": {},
"created": 1652399492,
"lastLogin": 1653140180,
"programs": {},
"dateOfBirth": 627609600,
"practices": {},
"devices": {},
"consents": {
"llu": {
"policyAccept": 1652399485,
"touAccept": 1652399485
}
}
},
"messages": {
"unread": 0
},
"notifications": {
"unresolved": 0
},
"authTicket": {
"token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6IjZlZGFjNDk2LWQyNGUtMTFlYy04ZTVkLTAyNDJhYzExMDAwMiIsImZpcnN0TmFtZSI6IkhhbGltZSBTZWxjdWsiLCJsYXN0TmFtZSI6Iktla2VjIiwiY291bnRyeSI6IkRFIiwicmVnaW9uIjoiZXUiLCJyb2xlIjoicGF0aWVudCIsInVuaXRzIjoxLCJwcmFjdGljZXMiOltdLCJjIjoxLCJzIjoibGx1LmFuZHJvaWQiLCJleHAiOjE2Njg2OTIzNTh9.MdEzdJ3NrpYS4WVAcuy87Gxzk7EJFHzCtei-y7_XXXX",
"expires": 1668692358,
"duration": 15552000000
},
"invitations": [
"xxxxxxxxx"
]
}
}
The JWT Token is present in data.authTicket.token and is valid for nearly 6 month which is quite long. This is extremly long and actually you cannot invalidate this token why you should not share it with anyone.
For the next requests you have to set this token in the headers:
'authorization': Bearer [YOUR_JWT_TOKEN]
To be able to retrieve cgm data you have to determine the patientId of the person who is sharing his data with you.
Endpoint GET /llu/connections
Response
{
"status": 0,
"data": [
{
"id": "xxxxx",
"patientId": "xxxxxxx",
"country": "DE",
"status": 2,
"firstName": "John",
"lastName": "Doe",
"targetLow": 70,
"targetHigh": 130,
"uom": 1,
"sensor": {
"deviceId": "",
"sn": "xxxxx",
"a": 1652400270,
"w": 60,
"pt": 4
},
"alarmRules": {
"c": true,
"h": {
"on": true,
"th": 130,
"thmm": 7.2,
"d": 1440,
"f": 0.1
},
"f": {
"th": 55,
"thmm": 3,
"d": 30,
"tl": 10,
"tlmm": 0.6
},
"l": {
"on": true,
"th": 70,
"thmm": 3.9,
"d": 1440,
"tl": 10,
"tlmm": 0.6
},
"nd": {
"i": 20,
"r": 5,
"l": 6
},
"p": 5,
"r": 5,
"std": {}
},
"glucoseMeasurement": {
"FactoryTimestamp": "5/21/2022 1:38:50 PM",
"Timestamp": "5/21/2022 3:38:50 PM",
"type": 1,
"ValueInMgPerDl": 91,
"TrendArrow": 3,
"TrendMessage": null,
"MeasurementColor": 1,
"GlucoseUnits": 1,
"Value": 91,
"isHigh": false,
"isLow": false
},
"glucoseItem": {
"FactoryTimestamp": "5/21/2022 1:38:50 PM",
"Timestamp": "5/21/2022 3:38:50 PM",
"type": 1,
"ValueInMgPerDl": 91,
"TrendArrow": 3,
"TrendMessage": null,
"MeasurementColor": 1,
"GlucoseUnits": 1,
"Value": 91,
"isHigh": false,
"isLow": false
},
"glucoseAlarm": null,
"patientDevice": {
"did": "2d97357e-d250-11ec-b409-0242ac110004",
"dtid": 40068,
"v": "3.3.1",
"ll": 65,
"hl": 130,
"u": 1653016896,
"fixedLowAlarmValues": {
"mgdl": 60,
"mmoll": 3.3
},
"alarms": false
},
"created": 1652399545
}
],
"ticket": {
"token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6IjZlZGFjNDk2LWQyNGUtMTFlYy04ZTVkLTAyNDJhYzExMDAwMiIsImZpcnN0TmFtZSI6IkhhbGltZSBTZWxjdWsiLCJsYXN0TmFtZSI6Iktla2VjIiwiY291bnRyeSI6IkRFIiwicmVnaW9uIjoiZXUiLCJyb2xlIjoicGF0aWVudCIsInVuaXRzIjoxLCJwcmFjdGljZXMiOltdLCJjIjoxLCJzIjoibGx1LmFuZHJvaWQiLCJleHAiOjE2Njg2OTIzNTh9.MdEzdJ3NrpYS4WVAcuy87Gxzk7EJFHzCtei-y7_XXXX",
"expires": 1668692358,
"duration": 15552000000
}
}
The datapart includes all persons who are sharing their data with you. To retrieve cgm data you need data[0].patientId.
Now both prerequirements (JWT Token and Patient ID) are met and you can retrieve the cgm data.
Endpoint GET /llu/connections/{patientId}/graph
Response
{
"status": 0,
"data": {
"connection": {
"id": "xxxxxxx",
"patientId": "xxxxxxx",
"country": "DE",
"status": 2,
"firstName": "John",
"lastName": "Doe",
"targetLow": 70,
"targetHigh": 130,
"uom": 1,
"sensor": {
"deviceId": "",
"sn": "XXXXXXXXXX",
"a": 1652400270,
"w": 60,
"pt": 4
},
"alarmRules": {
"c": true,
"h": {
"on": true,
"th": 130,
"thmm": 7.2,
"d": 1440,
"f": 0.1
},
"f": {
"th": 55,
"thmm": 3,
"d": 30,
"tl": 10,
"tlmm": 0.6
},
"l": {
"on": true,
"th": 70,
"thmm": 3.9,
"d": 1440,
"tl": 10,
"tlmm": 0.6
},
"nd": {
"i": 20,
"r": 5,
"l": 6
},
"p": 5,
"r": 5,
"std": {}
},
"glucoseMeasurement": {
"FactoryTimestamp": "5/21/2022 1:38:50 PM",
"Timestamp": "5/21/2022 3:38:50 PM",
"type": 1,
"ValueInMgPerDl": 91,
"TrendArrow": 3,
"TrendMessage": null,
"MeasurementColor": 1,
"GlucoseUnits": 1,
"Value": 91,
"isHigh": false,
"isLow": false
},
"glucoseItem": {
"FactoryTimestamp": "5/21/2022 1:38:50 PM",
"Timestamp": "5/21/2022 3:38:50 PM",
"type": 1,
"ValueInMgPerDl": 91,
"TrendArrow": 3,
"TrendMessage": null,
"MeasurementColor": 1,
"GlucoseUnits": 1,
"Value": 91,
"isHigh": false,
"isLow": false
},
"glucoseAlarm": null,
"patientDevice": {
"did": "xxxxxxx",
"dtid": 40068,
"v": "3.3.1",
"ll": 65,
"hl": 130,
"u": 1653016896,
"fixedLowAlarmValues": {
"mgdl": 60,
"mmoll": 3.3
},
"alarms": false
},
"created": 1652399545
},
"activeSensors": [
{
"sensor": {
"deviceId": "xxxxxx",
"sn": "xxxxx",
"a": 1652400270,
"w": 60,
"pt": 4
},
"device": {
"did": "xxxxxx",
"dtid": 40068,
"v": "3.3.1",
"ll": 65,
"hl": 130,
"u": 1653016896,
"fixedLowAlarmValues": {
"mgdl": 60,
"mmoll": 3.3
},
"alarms": false
}
},
{
"sensor": {
"deviceId": "xxxxx",
"sn": "xxxxxx",
"a": 1652399154,
"w": 60,
"pt": 4
},
"device": {
"did": "xxxxxxxxx",
"dtid": 40068,
"v": "3.3.1",
"ll": 70,
"hl": 250,
"u": 1652399060,
"fixedLowAlarmValues": {
"mgdl": 60,
"mmoll": 3.3
},
"alarms": false
}
},
{
"sensor": {
"deviceId": "xxxxx",
"sn": "xxxxx",
"a": 1652391830,
"w": 60,
"pt": 4
},
"device": {
"did": "xxxxx",
"dtid": 40068,
"v": "3.3.1",
"ll": 70,
"hl": 250,
"u": 1652396851,
"fixedLowAlarmValues": {
"mgdl": 60,
"mmoll": 3.3
},
"alarms": false
}
}
],
"graphData": [
{
"FactoryTimestamp": "5/21/2022 1:39:50 AM",
"Timestamp": "5/21/2022 3:39:50 AM",
"type": 0,
"ValueInMgPerDl": 117,
"MeasurementColor": 1,
"GlucoseUnits": 1,
"Value": 117,
"isHigh": false,
"isLow": false
},
{
"FactoryTimestamp": "5/21/2022 1:44:51 AM",
"Timestamp": "5/21/2022 3:44:51 AM",
"type": 0,
"ValueInMgPerDl": 115,
"MeasurementColor": 1,
"GlucoseUnits": 1,
"Value": 115,
"isHigh": false,
"isLow": false
},
{
"FactoryTimestamp": "5/21/2022 1:49:50 AM",
"Timestamp": "5/21/2022 3:49:50 AM",
"type": 0,
"ValueInMgPerDl": 115,
"MeasurementColor": 1,
"GlucoseUnits": 1,
"Value": 115,
"isHigh": false,
"isLow": false
},
{
"FactoryTimestamp": "5/21/2022 1:54:51 AM",
"Timestamp": "5/21/2022 3:54:51 AM",
"type": 0,
"ValueInMgPerDl": 116,
"MeasurementColor": 1,
"GlucoseUnits": 1,
"Value": 116,
"isHigh": false,
"isLow": false
},
{
"FactoryTimestamp": "5/21/2022 1:59:50 AM",
"Timestamp": "5/21/2022 3:59:50 AM",
"type": 0,
"ValueInMgPerDl": 116,
"MeasurementColor": 1,
"GlucoseUnits": 1,
"Value": 116,
"isHigh": false,
"isLow": false
},
{
"FactoryTimestamp": "5/21/2022 2:04:50 AM",
"Timestamp": "5/21/2022 4:04:50 AM",
"type": 0,
"ValueInMgPerDl": 118,
"MeasurementColor": 1,
"GlucoseUnits": 1,
"Value": 118,
"isHigh": false,
"isLow": false
},
{
"FactoryTimestamp": "5/21/2022 2:09:50 AM",
"Timestamp": "5/21/2022 4:09:50 AM",
"type": 0,
"ValueInMgPerDl": 118,
"MeasurementColor": 1,
"GlucoseUnits": 1,
"Value": 118,
"isHigh": false,
"isLow": false
},
{
"FactoryTimestamp": "5/21/2022 2:14:51 AM",
"Timestamp": "5/21/2022 4:14:51 AM",
"type": 0,
"ValueInMgPerDl": 115,
"MeasurementColor": 1,
"GlucoseUnits": 1,
"Value": 115,
"isHigh": false,
"isLow": false
}
]
},
"ticket": {
"token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6IjZlZGFjNDk2LWQyNGUtMTFlYy04ZTVkLTAyNDJhYzExMDAwMiIsImZpcnN0TmFtZSI6IkhhbGltZSBTZWxjdWsiLCJsYXN0TmFtZSI6Iktla2VjIiwiY291bnRyeSI6IkRFIiwicmVnaW9uIjoiZXUiLCJyb2xlIjoicGF0aWVudCIsInVuaXRzIjoxLCJwcmFjdGljZXMiOltdLCJjIjoxLCJzIjoibGx1LmFuZHJvaWQiLCJleHAiOjE2Njg2OTIzNTl9.LK8Ejr2IDKGM7oiObVYMHC8HV2bPcv6obt7UiEFXXXX",
"expires": 1668692359,
"duration": 15552000000
}
}
The last measurement is present in glucoseMeasurement:
{
"FactoryTimestamp": "5/21/2022 1:38:50 PM",
"Timestamp": "5/21/2022 3:38:50 PM",
"type": 1,
"ValueInMgPerDl": 91,
"TrendArrow": 3,
"TrendMessage": null,
"MeasurementColor": 1,
"GlucoseUnits": 1,
"Value": 91,
"isHigh": false,
"isLow": false
}
Instead you can find historical measurements in graphData. The data has the same shape as above.
Selcuk Kekec
E-mail: khskekec@gmail.com
ive been trying to add something to auto log mealtimes based on levels, but thats hard cause if you do it right it shouldnt detect the rapid changes 🤔