News & Intel
LiveDaily AI-curated intelligence on Palantir Foundry, Ontology, AIP, Apollo, contracts, and community feedback. Updated automatically via GitHub Actions every day at 7 AM UTC.
Transform Generator and Models: How to create multiple models in one transform
I want to generate multiple models in Foundry (standard models in this example) based on multiple datasets I have, or multiple cuts of data in a single dataset. How can I easily scale up the generation of models from my data ? How can I use all those models as one (e.g. via a router model) ? The router model is easier to deploy than N models, e.g. via Pipeline Builder, and so avoid manual work downstream to add new models (models new version propagate automatically, but flat new models will need some wiring - if/else condition, model import, etc. - hence why a router model is useful) 2 posts - 1 participant Read full topic
semblance-foundry added to PyPI
Unofficial local HTTP simulation of selected Palantir Foundry API v2 ontology operations
semblance-foundry 0.1.1
Unofficial local HTTP simulation of selected Palantir Foundry API v2 ontology operations
semblance-foundry 0.1.2
Unofficial local HTTP simulation of selected Palantir Foundry API v2 ontology operations
semblance-foundry 0.1.3
Unofficial local HTTP simulation of selected Palantir Foundry API v2 ontology operations
Get file contents contained in a repository programatically in Python
I have marketplace product name, fetched using REST endpoint in python. I want to fetch package.json file contents from code repository using marketplace product name programmatically in python. is there any REST endpoint available or need to use foundry/platform sdk? please share an example. I went through multiple documentation on website and some forums but didnt find the answer. 1 post - 1 participant Read full topic
Unioning a Batch Dataset into a Streaming Pipeline
I have a streaming pipeline with multiple input streaming datasets, and a single batch dataset which I would like to union together. The streaming datasets are sourced from live data, while the single batch dataset is a set of dummy rows I update for testing the downstream datasets. Currently I can only union together all input datasets if the batch dataset is configured to “stream” instead of “snapshot” mode. However, whenever the batch dataset is updated, the new rows are not added to the output stream. Does the batch dataset need to be “append-only” similar to joins? Is there any other way to include this batch dataset unioned into the streaming datasets, or is it not currently supported? Thanks 1 post - 1 participant Read full topic
Serving Isochrones at Scale in Foundry
Recently, within our particular application of Foundry, we’ve had interest in supporting this type of abstract query in real-time: “Find objects that fall within a specified driving time of one fixed set of points, but not within that driving time of another fixed set of points.” A radius may not sufficiently represent this area. Road networks, natural barriers, topology, and access constraints can all make the actual reachable region significantly different from a circle (an easy example here is the existence of highways, the actual shape of what can be reached tends to look more like a starfish than a circle). We therefore want a low-overhead but still shape-accurate way to define catchment areas around a fixed set of points. One could imagine that this query capability could be useful in various contexts (EMS dispatch, utility planning, retail site planning to name a few). Resolving this query requires us to know not only the driving time from arbitrary point A → point B,
Generic Internal Workshop Error
I’m trying to package a Workshop application as an output in DevOps/Marketplace, but the packaging step consistently fails with a generic internal Workshop error. The output is: REDACTED Source: Workshop The error shown is: Error Name: Default:Internal Error Code: INTERNAL Error ID: 250c49fc-3042-4e99-a78b-5cae387119ec The UI only says: “Something went wrong, please contact Palantir support.” I’ve retried the packaging operation and get the same blocker, but I’m not seeing any additional validation message or indication of which Workshop resource/configuration is causing it. The package also includes a custom widget set/repository and ontology resources, but the failure is specifically being reported against the Workshop application output. Has anyone encountered this before, or is there somewhere in Workshop/DevOps where I can get more detailed packaging logs or identify the resource that is causing the failure? I’m using a personal/tra
Building a Prompt Management Workflow in Workshop – Sharing Implementation & Seeking Feedback
Hi Everyone, I recently designed a Prompt Governance & Versioning Module using Foundry Workshop and Ontology to handle LLM prompt lifecycles. Rather than just sharing the final result, I’d love to share the technical approach used to handle multi-tab state isolation, and get input from the community on potential optimizations. How it was implemented: Data Model: Used Prompt Project and Prompt Version object types linked via an Ontology relationship. Version Comparison Filter: Solved multi-page variable conflict by isolating dynamic dropdown variables and using On a link object set filtering rather than plain string equality. Governance: Bound radio selection UI directly to Ontology Actions to handle Draft -> Active -> Archive status transitions. Questions for the Community: How are others managing prompt versioning and status propagation across multi-tenant spaces in Workshop? Is using Ontology Actions the preferre
Palantir’s no-bid pipeline just got bigger
A new $244M Pentagon memo skips the Federal Acquisition Regulation's process for sole-source justifications and urges agencies to find ways to work with the company.
My dev tier stack has crashed - how can I restore/recover?
I’d been testing the Foundry and Ontology MCPs all afternoon for a demo, part way through final test run nothing loaded, now I get this when I try to log back in Can anyone help? 3 posts - 1 participant Read full topic
How can I use App Pairing to connect vertex and chatbot in Workshop?
Hi all, I am trying to connect chatbot and vertex in workshop. it used to connect via app pairing feature, but now it says no app is discovered, How do you guys do this in Workshop? Regards, 1 post - 1 participant Read full topic
Federation layer, Self-hosting of LLMs & Routing - More examples available?
Hello, I came across this interesting (but short) documentation regarding the implementation of a proxy or federation layer (I think mostly call model router outside the platform?). Bring your own model • Build a proxy or federation layer with AIP • Palantir While there is a tiny example mentioning the deployment of a container, additional documentation would be welcomed ? For example, we successfully deployed a 4B model asset as a container with vLLM engine but one thing we couldn’t do is to have the weights of the model loaded from a dataset ? Today, the weight are backed in the image. As no persistent storage is available, at every spin up we need to reload everything which takes around 5-10min while it would be better to have the model weights, CUDA graph etc.. stored in a dataset. This would allow: Lighter docker image Possibility of hot swap/sleep of model weights maybe GPU Release ? and more… Regarding the routing, where the router layer would be deployed
Best set of tools to use coming into Palantir Foundry world?
Hello Community, I’m just starting to work with Palantir Foundry and getting an empty laptop to start from a blank sheet. I wanted to ask about your personal preferences in tooling you use to improve Development Experience in Foundry, it can be really anything, but I’ll give a few examples: CLI Tools in Terminal; IDE (Local vs On-Foundry) Claude / AI FDE Extensions for local set up Will appreciate any information, even not related to this particular theme, but in general recommendations to get started fast and right. 1 post - 1 participant Read full topic
How should I expose multiple scientific-computing APIs for integration with Databricks and an ontology platform?
I’m building a portfolio of around 30 scientific-computing applications covering physics, quantum calculations, protein/biomolecular modeling, signal processing, and related mathematical tools. The applications currently run on platforms such as Replit and Base44. I am considering exposing their computational capabilities through stable, documented APIs and integrating those services with Palantir Foundry. The architecture I’m considering; Scientific APIs → Integration/API Layer → Foundry → Ontology → Actions/Functions → Customer-facing applications The solvers would remain independently deployed computational services. Foundry would provide the data, ontology, orchestration, permissions, and operational interface around them. For example, a solver might expose: POST /v1/quantum/solve Input: { "parameters": {...}, "model": "...", "version": "1.2" } Output: { "result": {...}, "metadata": {...}, "model_version": "1.2" } I would then want a Foundry workflo
🚀 Munich Builder Mapping AI Transformation Across the Top 40 Global Reinsurers — Fellow Builders & Advisors Welcome!
Hey Palantir Community! Munich-based builder here — first post, so bear with me! The Project I’m building a code repository and data pipeline to track AI transformation across the top 40 reinsurance companies worldwide — pulling signals straight out of financial and annual reports and turning them into a living dashboard of who’s talking about AI, who’s actually shipping it, and how that shifts year over year. The Approach Under the hood it’s an ontology-management problem as much as a data problem: structuring messy annual-report data into something queryable, then layering NLP extraction and benchmarking on top. Happy to turn this into a mini workshop if others are wrestling with similar report-parsing challenges. Looking For Fellow builders working on similar pipeline-builder style projects and code repositories , folks with ideas on report parsing, NLP extraction, or benchmarking approaches, and advisors who’ve wrangled messy unstructu
Practice Exams for Palantir Foundry Data Engineer Certification
Hi All, Will be happy to get recommendations for Practice Exams for Palantir Foundry Data Engineer Certification? I am preparing for the exam, but not sure of the right one. Kind regards 1 post - 1 participant Read full topic