PalantirLearning

FOUNDRYONTOLOGYAIP

Unable to Install “Deep Dive: Creating Your First Ontology” Marketplace Bundle - Object Type Limit Exceeded

Hello, I am currently working through the Palantir Foundry Foundations learning path using a Palantir AIP Developer Tier environment . While learning the tutorial “Deep Dive: Creating Your First Ontology” , I encountered an issue when attempting to install the Marketplace bundle. During the Review Changes stage of the Marketplace installation, the following validation error appears: “This Marketplace install will result in the maximum number of object types allowed in this Ontology being exceeded. Please delete any unused object types to proceed.” Troubleshooting steps already attempted Attempted installation in the existing ontology Created a fresh ontology and retried the installation The same validation error still occurs Because this environment is being used for the tutorial workflow, I am unsure which object types are safe to delete without potentially breaking earlier steps. I have attached screenshots of the validation error for r

Palantir Community — LatestMar 5, 2026

FOUNDRY

How to receive dataset build notifications

This is a duplicate of this issue which does not have an accepted answer. In many cases notifying a group when a job that effects backing data finishes is used as a trigger for workflows. I’m not sure this is the best pattern but it’s one we get a lot. There are also times when external systems need to notified but this can usually be achieved using external pipelines. That is likely the solution we will use. Automate does not appear to have a viable option for build notifications: Objects added to set : Triggers when a new object appears in the set. Objects removed from set : Triggers when an object leaves the set. Objects modified in set : Triggers when an object is modified in the set. Run on all objects : Periodically runs effects on all objects in a given object set. Metric changed : Triggers when an aggregated metric increases or decreases. Threshold crossed : Triggers when a metric threshold is crossed or when a function

Palantir Community — LatestMar 5, 2026

FOUNDRYAIP

REST API data connection to Gemini3 Image Generation

Hi Everyone! I am busy with a little project where I want a user to provide a prompt request that will be passed to AIP Logic that enriches the prompt with actual data and sends the data enriched prompt to Gemini 3 to create an infographic of the request. But I am stuck at the data connection webhook to Gemini. In Postman the webhook runs correctly and I get the Base64 encoded string back which is what I expect, but once I go to Foundry the webhook keeps giving me an error 400. I checked everything more than twice now, and I have no idea what I am missing. Here are my inputs: POST: https://generativelanguage.googleapis.com/v1beta/models/gemini-3.1-flash-image-preview:generateContent?key=GeminiSecret Query Params: key = GeminiSecret (API key generated from Gemini account) Headers: Accept = application/json Content-Type = application/json x-goog-api-key = GeminiSecret Body: { “contents”: [ { “parts”: [ { “text”: “\u000a* Dashboard/Corporate: \u000a

Palantir Community — LatestMar 4, 2026

FOUNDRY

External data source access controls

My organization maintains a dataset outside of Foundry of all users and their accessible data sources. This dataset has already been brought into Foundry via a data connection. What are the best practices for using this external resource to automatically manage data source access controls? 1 post - 1 participant Read full topic

Palantir Community — LatestMar 3, 2026

FOUNDRY

CI Checks on Pipeline Builder Proposals

Hi, It would be extremely helpful if we could configure CI/CD checks on Pipeline Builder proposals so that they check if a data expectation is set on the pipeline output. For example, if I create a new dataset - or make changes to an existing pipeline - that uses Pipeline Builder, I want the proposal that is generated to automatically fail if a Primary Key data expectation is not set. This will allow us to properly enforce Primary Keys are set on datasets that are use by downstream data customers. Thank you! 1 post - 1 participant Read full topic

Palantir Community — LatestMar 3, 2026

FOUNDRYONTOLOGY

Slate public facing

Hi, Referring to Palantir documentation, how do I create a slate form, email to bunch of people, when they submit the form collect data in Palantir foundry and use it in ontology to create objects? Can you provide steps to it? Many thanks, “Slate supports “public” applications, meaning Slate applications that can be used by individuals without Foundry accounts. Public applications allow users without Foundry accounts to submit information, upload data, or upload files into Palantir Foundry, subject to validation logic and other safety measures.” 1 post - 1 participant Read full topic

Palantir Community — LatestMar 2, 2026

FOUNDRYEARNINGS

pltr-cli 0.14.0

Command-line interface for Palantir Foundry APIs

Pypi.orgMar 2, 2026

FOUNDRY

Exportable markings causing issues in VS Code editor

All of a sudden I just started getting error like: The error Internal Error: AttributeError: 'NoneType' object has no attribute '__dict__' indicates that a NoneType object is being accessed in your code where an object with the __dict__ attribute is expected. This is likely due to a variable or result being None and not properly handled. Suggestion: This is an internal error in Foundry, and you may not have direct access to the underlying issue. I suggest contacting Palantir support for further assistance. They can analyze the environment setup and configuration to identify the root cause. If possible, ensure that any function or variable in your code is properly validated and isn't returning None unexpectedly. If it is related to your code, review areas where objects are being created or fetched. If you suspect an issue in your environment setup, ensure proper configuration as mentioned in the documentation around retries or schema extraction: Documentation Links Used: Retries

Palantir Community — LatestMar 1, 2026

FOUNDRYRELEASE

OneMedNet Announces Next Phase of Commercial Launch with its Real-World Data (RWD) Platform powered by Palantir Foundry

OneMedNet Announces Next Phase of Commercial Launch with its Real-World Data (RWD) Platform powered by Palantir Foundry....

GlobeNewswireMar 1, 2026

FOUNDRYONTOLOGY

Dynamic Group-By in Function-Backed Workshop Chart Breaks “Selection as Filter” Mapping

Hello, I’m building a Workshop dashboard in Palantir Foundry using a function-backed bar chart over an Ontology ObjectSet. The chart allows users to select a group-by dimension from a dropdown (e.g., different properties) and displays the Top N by a chosen measure. Users can also filter between “Hit” and “Miss” before aggregation. The issue arises when I try to use the “Selection as filter” feature to filter a table or another visualization based on the bar chart selection. Workshop requires mapping the selection to a specific Object Type and Property. However, since my group-by property is dynamic (changes with the dropdown), the filter mapping breaks when the group-by changes, and filtering no longer works as expected. Is there a best practice or workaround for enabling selection-based filtering when the group-by property is dynamic in a function-backed chart? Thanks 1 post - 1 participant Read full topic

Palantir Community — LatestFeb 28, 2026

FOUNDRYRELEASE

Rolling Window Dataset

What options are there for creating a rolling window dataset? In my scenario, I have an incremental pipeline that reads from a snapshot dataset that is updated daily and only the data for the current day is written to the incremental dataset. After 365 days I will have 1 year’s worth of data. For rows with a timestamp older than 1 year, they should not be in the incremental dataset. 2 posts - 2 participants Read full topic

Palantir Community — LatestFeb 28, 2026

FOUNDRY

What is going on in usw-3.palantirfoundry.com

All of a sudden I just started getting error like: The error Internal Error: AttributeError: 'NoneType' object has no attribute '__dict__' indicates that a NoneType object is being accessed in your code where an object with the __dict__ attribute is expected. This is likely due to a variable or result being None and not properly handled. Suggestion: This is an internal error in Foundry, and you may not have direct access to the underlying issue. I suggest contacting Palantir support for further assistance. They can analyze the environment setup and configuration to identify the root cause. If possible, ensure that any function or variable in your code is properly validated and isn't returning None unexpectedly. If it is related to your code, review areas where objects are being created or fetched. If you suspect an issue in your environment setup, ensure proper configuration as mentioned in the documentation around retries or schema extraction: Documentation Links Used: Retries

Palantir Community — LatestFeb 28, 2026

FOUNDRY

Feature Request: Smart/ AI Title Names in Workshop for Variables and Components :)

This is a duplicate of https://community.palantir.com/t/feature-request-smart-ai-title-names-in-workshop-for-variables-and-components/2516 But having an auto suggest for variable naming seems like low hanging fruit… 1 post - 1 participant Read full topic