HTTP dump of Libre Link Up used in combination with FreeStyle Libre 3

libre-link-up-http-dump.md

LibreLinkUp HTTP-Dump

This document describes the HTTP communication of LibreLinkUp which functions as follower app to receive cgm data. Some data in the responses were masked.

Context

This dump was created on an android device with LibreLinkUp app. Capturing was done with HttpToolkit over adb.

API Url

The global api url is https://api.libreview.io. If you are placed in europe you can use https://api-eu.libreview.io instead.

Headers

The following list includes general purpose headers but also specific ones which are required to get correct responses:

General purpose

'accept-encoding': 'gzip'
'cache-control': 'no-cache'
'connection': 'Keep-Alive'
'content-type': 'application/json'

Specific

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',

Request Flow

To get cgm data from the api it is required to fire at least three requests:

1. Login and retrieve JWT Token
2. Get connections of patients to get patientId
3. Retrieve cgm data of specific patient

Login

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": "[email protected]",
  "password": "$yOurVerySecretPasSw0rd!"
}

Response

{
  "status": 0,
  "data": {
    "user": {
      "id": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
      "firstName": "John",
      "lastName": "Doe",
      "email": "[email protected]",
      "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]

Get connections

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.

Get cgm data

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.

Contact

Selcuk Kekec

E-mail: [email protected]

@Mynuggets-dev Good questions. My Python script only stores data of the last 30 minutes, and uses that to determine if all is well. No DB needed. The Telegram bot is only to bridge between my house MQTT and external Telegram. The bot only relays between my phone and the Python script (via Telegram and MQTT). I got diabetes when I was 43 (in 2009).
Before each meal I administer insulin, and then usually it goes up and then down to normal level after 3 hrs. However, sometimes at t=2 hrs the Python script notices that the level goes not down anymore, but up again (depending on meal). In such cases I get a message, I compensate, and the final curve looks very good. My doctor asked me how I got my levels so flat, and I told him I use control techniques (is also my job) and this Python script.
Same at nighttime: usually very good, but sometimes I miscalculate, and then it's good to receive a message so I can compensate.
Freestyle Libre has a "bug" in my opinion: if my level is above alarm level before I go to sleep, I compensate (of course), but if I don't compensate enough, it can remain the whole night above the alarm level without raising any alarm. Abbott should automatically repeat any alarm after 3 hours in my opinion. Also for such cases this Python script is good.
Hope this explains :-)

@Mynuggets-dev Good questions. My Python script only stores data of the last 30 minutes, and uses that to determine if all is well. No DB needed. The Telegram bot is only to bridge between my house MQTT and external Telegram. The bot only relays between my phone and the Python script (via Telegram and MQTT). I got diabetes when I was 43 (in 2009). Before each meal I administer insulin, and then usually it goes up and then down to normal level after 3 hrs. However, sometimes at t=2 hrs the Python script notices that the level goes not down anymore, but up again (depending on meal). In such cases I get a message, I compensate, and the final curve looks very good. My doctor asked me how I got my levels so flat, and I told him I use control techniques (is also my job) and this Python script. Same at nighttime: usually very good, but sometimes I miscalculate, and then it's good to receive a message so I can compensate. Freestyle Libre has a "bug" in my opinion: if my level is above alarm level before I go to sleep, I compensate (of course), but if I don't compensate enough, it can remain the whole night above the alarm level without raising any alarm. Abbott should automatically repeat any alarm after 3 hours in my opinion. Also for such cases this Python script is good. Hope this explains :-)

yeah in the librelinkup i found they do like data sanitizing and its compressing high / low readings ( 20mins time for insulin for the fat cells etc so 30min could be half the issues for a good source of data ) that's why i just log the readings raw data and compile it myself, all my analytics are python functions i created based on Australian standards etc ( i like the pretty look but advice not to use as a direct refence, and i have handling incase trying to view more data than i have etc eg

and i have discord accounts that can link to a bot etc

and working on widgets too, i get alot of ideas from posts like these and issues, so thanks to anyone that posts for help or ideas 💕

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 🤔

feel free to try it, only thing i ask is please don't use it like a source of truth, it can be flawed with my ' skill level ' https://diabetes.mynuggets.dev/

@Mynuggets-dev Great that you exposed your scripting with others with your website! It looks good. Nice example for other developers. I hope one day I will provide machine-learned alerting service to others. At the moment I am too busy with other things. Keep going!