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We have an issue in our production system that influence many users. We have a app using JavaScript SDK where requests to the Group API times out.  Can you please trace one of the request timing out: 492e1fee-234e-95eb-b371-8a11870708e8 

On a user.Group.yaml file we are able to set specific ids to certain capabilities, such as datasets:  - datasetsAcl: actions: - READ scope: idScope: ids: - datasetId1 - datasetId2 Are we able to also do this for agents via agentsAcl run? I couldn’t find anything specifying it in the documentation and the assistant claimed it was not possible. I wanted to double check here if someone knew more about this.

I have 4 views that implement CogniteAsset. When clicking on an instance and heading over to the properties tab, there are four properties there:Asset class Name Asset class Description Asset class External Id Asset class SpaceThese are visible for 3 of the 4 views. Looking at the propertyLayout, I did not see any reference to an asset class in a view where they are visible, and neither in a view where they are hidden. I’ve tried adding the following to the PropertyLayout section of views where they are visible in the UI:- property: assetClass  hidden: true But it did not help. What is the factor that determine whether these are visible or not? 

Zendesk not working on MFA can you reset. The popup or the code doesn’t work in my MS auth app

I am having the same issue while running the querySELECTconcat('Anshul1994',loc) as externalId,IF(parent_loc='' OR parent_loc IS NULL, '', concat('Anshul1994',parent_loc)) AS parentExternalId,CAST(lastUpdatedTime AS STRING) AS name,to_metadata(*) AS metadata,description AS description,7836510854795177 AS dataSetIdFROM `Anshul1994`.assets

 When defining both data-model time-series nodes and DatapointSubscriptions on those nodes, cdf publish fails, because the data being subscribed to does not yet exist in CDF. This means we have to first push the .node.yaml files, allow the CI/CD pipeline to run, and then push the subscriptions. This does not work however because the moment both changes exist in dev at the same time, and we move it over to the next branch, the project won’t deploy. Does the toolkit somehow support defining data-model time-series and subscriptions on those time-series on the same deployment, or can it be implemented that nodes are published before subscriptions are made? ╭─ Deploy summary (dry run) ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮│

Under the admin panel, in “Access Management” you are able to modify a group to provide them capabilities to access the new Flows apps, e.g., “apphosting”. By adding the read and run capabilities we have confirmed it is possible for users with these to see and run the apps.We want to replicate this in the infrastructure code, and have attempted to add “apphostingAcl” with actions for - apphostingAcl: actions: - READ - RUN scope: all: {} However, when attempting to deploy this to a project:cdf deploy $(pwd)/build-qaThe following error is received for the commandAPI error: Request failed with status code 400: Unknown field name:`apphostingAcl` at items.capabilities[15].?.The request body and response has been written todeploy_logs_2026-06-04/2026-06-04T06_49_09.086412+00_00.json for debuggingpurposes. When attempting to consult the documentation, I could not find a reference for this. So is this currently possible in

Hi Team,We are currently exploring migration of our existing content to use Flexible Data Modeling in CDF, and we are facing some challenges while configuring the OPC UA Extractor.At the moment, we are still pointing the extractor to the traditional Asset-Centric Time Series (dataset-based approach) and then transforming the data into our Data Model types afterward. However, we would like to ingest data directly into a view that implements the CogniteTimeSeries type.We would appreciate your guidance on the following: Do you have any example .yml configuration for the OPC UA Extractor that ingests data directly into a view implementing CogniteTimeSeries? Are there any best practices or recommended approaches for this setup? Is the following documentation the correct reference for this use case?https://docs.cognite.com/cdf/integration/guides/extraction/configuration/opcua#data-models Additionally, we are also evaluating OPC Events ingestion: Should OPC Events be modeled using Cognite

The documentation link takes me to a 404 page: 

Help! I am currently facing an issue where the dataset data type is set as string = true, whereas it should be false (numeric). As a result, the chart is not displaying any data due to the field being treated as a string.However, when I download the dataset as a CSV file, the data is present. Could you advise if there is a quick fix on your side to convert the data type from string to numeric?  

I am currently facing an issue where the dataset data type is set as string = true, whereas it should be false (numeric). As a result, the chart is not displaying any data due to the field being treated as a string.However, when I download the dataset as a CSV file, the data is present. Could you advise if there is a quick fix on your side to convert the data type from string to numeric?  

Is it possible to remove a Flow App from a Cognite cluster after it has already been deployed?

Hi,We're using the Cognite DB extractor (version 3.9.2) with a MongoDB database (Azure Cosmos DB via the MongoDB API) and are trying to set up incremental loading.The documentation for mongodb (https://docs.cognite.com/cdf/integration/guides/extraction/configuration/db#databases.mongodb) doesn't mention the use of start_at and incremental_field but after testing them and looking at the debug logs, we can see the extractor sends the {start_at} placeholder literally without substituting the state value. My questions are:    1. Is start_at substitution supported at all for MongoDB JSON queries, or is it SQL-only?    2. If incremental loading is not supported for MongoDB, is there a recommended workaround?Thanks.

In the Charts chapter, question 7 and 8 in the quiz asks for some reference values that I cannot understand can be correct. The quiz asks for number of  threshold events and durations within a specific timeframe: From the Data quality use case, how many gaps / events have been detected in Temp in: Gaps detection calculation during the following period: Jun 9, 2022 (9:00) - Jun 10, 2022 (9:00), Type: Between Min & Max of 1? However, none of the alternatives match the resulting dataset I see in Charts. I am a new learner, so perhaps a mistake somewhere, but I have checked multiple times and cannot see any error on my part. Is it only me? Or is there a mismatch in the data? Kind regardsJohannes 

How does asset hierarchy work in CDF?

How are .nwd and .lfa files rendered in Cognite Reveal? Does CDF already convert .nwd and .lfa files in a lossless way, without losing any node or asset metadata? Is is converted to .glb/.gltf file types as conversion output?What happens if we use raw Three.js instead? How can we work with .nwd files in that case? Three.js doesn’t support .nwd files directly, right?Is it necessary to convert them to .fbx or .obj formats? Wouldn’t that result in a lossy conversion, potentially causing loss of metadata, asset hierarchy, or textures? How do we use .nwd and .lfa files for show warnings or overlays? 

I follow the Docments for binding files in CDF(client.files.upload_content)After uploading, AtlasAI is indeed able to use the content.However, this file seems to be a chunked TXT document generated from the customer document. I believe this TXT file should follow a certain structure, but I could not find any documentation describing the expected text content structure in the help docs.Is this an industry-standard format, or is the file_content structure arbitrary?It seems that the completeness and quality of the chunk file directly determine the upper limit of AtlasAI’s intelligence and response quality. 

When we’ve tried to update to python sdk v8 we get a 400 validation issue when we try to create a container.We’re currently using v7.92.0, where we have no problems. We’ve tested versions v8.0.7 and v8.2.0.client.config.api_subversion is ‘20230101’ for both 7.92.0 and 8.2.0.Here is an example of a request that fails with: Unexpected field - items[0].properties..constraintState.constraintState seems to be a new property for v8 of the api.ContainerApply( space="Space", external_id="Comp", name="Comp", used_for="node", properties={ "manufacturer_name": ContainerProperty( type=Text(), nullable=True, ) })I notice also that the CDF Jupyter notebook in browser is still on v7.92.0. Is there potentially any other issues preventing an upgrade to v8? Best RegardsDaniel Rasmussen

When hovering over the dropdown, the legends are lingering making it hard to find and click on correct time series. Happens when creating calculations in Charts. 

Hi,I am trying to install Prosper, GAP and Unisim connectors but the instalation is failing for all of them.It just says that it cannot start the service and that is the only message I gotStart-Service : Failed to start service 'Cognite GAP connector 2.0.0-beta-6 (GapConnector)'.At line:1 char:1+ Start-Service GapConnector+ ~~~~~~~~~~~~~~~~~~~~~~~~~~ + CategoryInfo : OpenError: (System.ServiceProcess.ServiceController:ServiceController) [Start-Service], ServiceCommandException + FullyQualifiedErrorId : StartServiceFailed,Microsoft.PowerShell.Commands.StartServiceCommand 

Team, I am trying to schedule math functions, specifically addition of 4 tags and averaging of 4 tags.These need to run specifically at 10:05am as these are totals that are reported once a day, at approximately 10am EST.How can this be done and make these values available for use in Grafana? Thanks for helping!

I used to run this version to upload simulator connector, model and routines, but it is not working anymorehere is the error I pydantic_core._pydantic_core.ValidationError: 3 validation errors for PagedResponse[GroupResponse]items.324.capabilities.6.acl.scope.scope_nameInput should be 'all' [type=literal_error, input_value='agentExternalIdScope', input_type=str]For further information visit https://errors.pydantic.dev/2.13/v/literal_erroritems.526.capabilities.6.acl.scope.scope_nameInput should be 'all' [type=literal_error, input_value='agentExternalIdScope', input_type=str]For further information visit https://errors.pydantic.dev/2.13/v/literal_erroritems.639.capabilities.6.acl.scope.scope_nameInput should be 'all' [type=literal_error, input_value='agentExternalIdScope', input_type=str]For further information visit https://errors.pydantic.dev/2.13/v/literal_error

I am program manager with one of IT service organization. I want to know, what all the courses i need to complete in order to make sure i have all the information i need in order to manage a program?

Hi All,I just created an Asset in the Cognite Fundamentals workspace, following the guidelines from the course. After following all the steps mentioned I was expecting to find the asset Pranav1992 in the Search under Other Categories after logging into Industrial Tools workspace.However, upon filtering I do not see it there, can someone please help if I missed something?Thanks,Pranav

Hello experts,I have a question about Cognite Functions. I know there’s a limit on the size of the input data, as discussed here : Cognite Hub and documented there : Cloud provider limitations - Cognite Docs But is there a limit on the size of the function’s output? I have one that works perfectly fine but crashes without any explicit error message when handling a large output payload (>500 KB). I’m on Azure provider.Is there any information on this? Thank you,Best regards,Pierre Rambourg edit : the initial error was on my side, but i’m still interested for output limits !