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
i was thinking that but i didn't want to give any false info eg predicting the levels, can confirm the scripting in my analytics is within reason for blood works ( JUST FOR TRENDS NOT FOR TRACKING! ) and trying to add some more to catch patterns ( so easier to see issues for users )
i will make another version not tied into my stack so others can host for themselves locally ( but i dont like the idea of it being on a system not on 24/7 or data is wrong as its all compiled from just current levels readings per 1min )