https://www.palantir.com/newsroom/ 2026-09-23T13:51:01.354153+00:00 Palantir python-feedgen https://www.google.com/s2/favicons?domain=palantir.com&sz=64 https://www.google.com/s2/favicons?domain=palantir.com&sz=256 Palantir newsroom, blog, media coverage, press releases, Foundry announcements, and release notes. tag:trvny.github.io,2024:feedseek/palantir/aed81b9b17cd87a1 2026-09-22T00:00:00+00:00 The version of Apache Spark used in Foundry transforms is being upgraded from 3.5.5 to 4.0.1 for all enrollments. This upgrade brings many bug fixes, performance improvements, and new features that can be viewed on the release page for Apache Spark ↗ . No action is required to enable this upgrade. Transforms runtime versions are managed automatically in the background through adjudication. For more detail, review the documentation on Transforms versions . Spark 4 introduces breaking changes whic 2026-09-22T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/ebebc0c13d96f383 2026-09-21T00:00:00+00:00 Carbon now supports Insight analysis , letting you investigate data alongside your workspace's applications and resources. Carbon also offers modern object search, with a redesigned homepage search bar and search results page. Workspace owners choose when to turn on each experience via two independent workspace settings. When enabled, Insight analyses replace Object Explorer-style explorations for object types, object sets, and saved explorations. Build an analysis step by step: start with an ob 2026-09-21T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/2d13fb5f0330555c 2026-09-17T00:00:00+00:00 The Changes tab on the branching proposal page now provides a centralized view of all resource changes on your proposal. Previously, reviewers could only view changed resources in the proposal Overview tab and needed to open each resource's application to review changes separately. Reviewing proposals that span multiple resources required moving between applications, making it more difficult to understand how related changes fit together. The Changes tab lets reviewers view how modified resource 2026-09-17T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/a4b597f8be740ea6 2026-09-15T00:00:00+00:00 Product groups are now available in Foundry DevOps across all enrollments. Use them to model products that are deployed together and validate whether selected product versions can be installed as a group. Product groups identify packaging and compatibility issues during development, before deployment. Product groups tab in a Foundry DevOps product store. DevOps dependency graph showing products in a product group. Previously, teams might discover these issues during installation , requiring them 2026-09-15T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/d64fc3ff4d7baff6 2026-09-15T00:00:00+00:00 Managed Iceberg tables and Palantir’s Iceberg REST catalog are now generally available on standard Foundry enterprise environments hosted on AWS, Azure, and GCP. Palantir’s Iceberg catalog supports Iceberg tables stored in either Palantir-managed storage or a customer-provided bucket. This gives you the benefits of the open Apache Iceberg format ↗ alongside Palantir’s pipeline-building, governance, security, and ontology capabilities. Why use Iceberg tables? Iceberg tables provide: Scalable perf 2026-09-15T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/d59bb9ebd021398d 2026-09-15T00:00:00+00:00 Anthropic's Claude Opus 5 is available on IL2 and IL4 enrollments with Claude via AWS Bedrock enabled. For more model information, review Anthropic's model documentation↗. Getting started To use these models: Confirm that your enrollment administrator has enabled the relevant model family. Review token costs and pricing. See the complete list of models available in AIP. Your feedback matters We want to hear about your experiences using language models in the Palantir platform and welcome your fe 2026-09-15T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/d21ab9198941c0c6 2026-09-10T00:00:00+00:00 To detect sensitive data that is difficult to model as a regular expression or fixed list of values, you can now use a natural language prompt and set examples for large language models to evaluate datasets , virtual tables , and media sets using match conditions in Sensitive Data Scanner . Generally available across Foundry enrollments the week of September 7, language model match conditions use a large language model and a natural language prompt to classify whether scanned content, column nam 2026-09-10T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/ead7759474b4b663 2026-09-10T00:00:00+00:00 The new code viewer is now available in Code Workspaces, providing a read-only interface for browsing, comparing, and sharing committed code from repositories stored in Foundry, whether the code was developed in Foundry or locally. You can start browsing code immediately while a VS Code workspace loads in the background. Browse committed code Open a repository in Code Workspaces, then select the Code viewer tab in the page header. From the code viewer, you can: Browse files on a branch, tag, or 2026-09-10T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/000fdcc9217ddf8f 2026-09-10T00:00:00+00:00 Large language model (LLM) evaluation suites are now generally available in Pipeline Builder. Use evaluation suites to test the outputs of Use LLM nodes before deploying changes to your pipeline Each run writes detailed results to a Foundry dataset, helping you identify opportunities to improve your LLM workflows. Test LLM workflows in an isolated environment Evaluate changes without affecting your production pipeline. Import an existing Foundry dataset as testing data or enter test data manuall 2026-09-10T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/98760e198dfa12c3 2026-09-10T00:00:00+00:00 GPT-5.6 Sol, GPT-5.6 Terra, and GPT-5.6 Luna are now available in AIP on IL2, IL4, and IL5 enrollments with Azure OpenAI enabled. Model overviews The GPT-5.6 series is OpenAI’s newest family of models. It includes a frontier model (Sol) for advanced workloads, a balanced model (Terra) for intelligence and cost, and a cost-effective model (Luna) for high-volume use cases. For more information, review OpenAI’s model documentation ↗ and OpenAI’s GPT-5.6 announcement ↗ . Getting started To use these 2026-09-10T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/fae0400803afdefd 2026-09-10T00:00:00+00:00 Gemini 3.8 Flash is now available in AIP for non-georestricted, US georestricted, EU georestricted, IL2, IL4, and IL5 enrollments with Google Vertex AI enabled. Model overview Gemini 3.8 Flash is the next iteration in the Gemini 3 model family, with improvements in reasoning and coding. For more information, review Google's Gemini 3.8 Flash model card ↗ and Google's model announcement ↗ . Availability Gemini 3.8 Flash is available on: Non-georestricted commercial enrollments with Google Vertex A 2026-09-10T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/5fa985ce607d0d8d 2026-09-10T00:00:00+00:00 Select models from Z.ai and Moonshot AI are now available in AIP through Fireworks on non-georestricted enrollments. Model overviews GLM-5.3 ↗ is an advanced open-weight frontier reasoning model released by Z.ai that delivers state-of-the-art performance for complex software engineering, long-horizon autonomous agents, and cybersecurity tasks. GLM-5.3 Flash ↗ is an open-weight, natively multimodal AI model released by Z.ai with strong performance in coding and agent tasks at a reduced cost and h 2026-09-10T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/77136a8c0e5c7ed6 2026-09-08T00:00:00+00:00 Palantir's certifications have been refreshed and updated, including the addition of a new AI Engineer certification. There are now three levels of certifications that users can earn to demonstrate their knowledge of the Palantir platform: Foundation, Associate, and Specialist. The Foundation and Associate levels have timed multiple-choice exams, while the Specialist level features a hands-on, live exam in a real Foundry & AIP environment with AI tooling permitted. Foundation The Foundation leve 2026-09-08T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/3df83de30054fb6b 2026-09-08T00:00:00+00:00 Vulcan is a 3D visualization application that renders engineering geometry directly from Ontology data. Mesh models ( GLB , GLTF , STL , OBJ , PLY , and 3MF ), 2D engineering drawings ( DXF ), and point clouds ( LAS and LAZ ) can be loaded without conversion, and a single scene can contain all the models needed for a workflow. Vulcan is available in beta across all enrollments starting the week of September 7. When saved, annotations, measurements, and section planes created in Vulcan are writte 2026-09-08T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/ecbf7abd4ee323a2 2026-09-03T00:00:00+00:00 When multiple builders update the same Workshop module on different branches, rebasing incorporates changes from main into a branch before that branch is merged. Workshop now provides visual rebasing to help reconcile granular changes to widgets, sections, and variables between main and your branch. Previously, you had to inspect the module’s JSON definition in the Changelog panel to determine what changed. Visual rebasing brings this workflow into the module editor, where you can accept, reject 2026-09-03T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/d3020efe676656dd 2026-09-03T00:00:00+00:00 Starting the week of September 14, 2026, VS Code workspaces will become the default code editing environment for supported repository types in Foundry. An example VS Code workspace, displaying the default welcome page. VS Code workspaces provide automatic environment setup, responsive language support, an integrated terminal, and AI-powered development assistance with Continue. For Python transforms, workspaces also support full-data previews and production-equivalent incremental previews. Devel 2026-09-03T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/319ef177026996b1 2026-08-27T00:00:00+00:00 AI FDE now has tools for Automate , allowing you to configure business automation - "when this happens, do that" - without leaving the agent. Create, inspect, and modify an automation while working on the surrounding Ontology, actions, and functions in the same session. Getting started Open AI FDE's Write functions or Modify ontology mode and turn on the Enable Automate tools toggle. With automatic mode switching enabled, AI FDE will turn this on for you when your task involves creating or manag 2026-08-27T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/112c1562783ad271 2026-08-27T00:00:00+00:00 Pipeline Builder now applies permissions to compute profiles for Spark-backed standard batch pipelines. Previously, compute profiles were not defined by a user's permissions on the project. After this change, compute profile access is defined by project-level permissions and compute profile size. Small and medium profiles remain available automatically. However, large and extra-large compute profiles must be imported to a project before use; this import requires a Compass project editor or owner 2026-08-27T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/d646e4b2abcda373 2026-08-25T00:00:00+00:00 SQL query variables are now generally available in Workshop and enabled by default for all users. This variable definition type lets you compute a variable's value by writing an Ontology SQL query directly in the module, without building and deploying a separate function. SQL query variable editors in Workshop, showing the AIP input field and code editor above the tables and parameters sections. Some calculations are natural to express in SQL but awkward to write imperatively. Window functions s 2026-08-25T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/54c2d9bc4c683595 2026-08-20T00:00:00+00:00 Workflow Lineage now includes a failure rate color mode that colors every action, function, and AIP Logic function node in your graph by the proportion of its runs that failed over a selected time window. This new feature shows where failures are concentrated across a given workflow, without needing to open each individual resource to check execution metrics. Failure rate color mode is generally available on all enrollments starting the week of August 17, 2026. A Workflow Lineage graph colored b 2026-08-20T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/390d847106084e40 2026-08-20T00:00:00+00:00 You can now configure a custom compute profile in addition to the five standard profile sizes in faster pipelines backed by DataFusion ↗ . Custom profiles let you set CPU and memory independently, and tune the DataFusion session parameters that control query partitioning, metadata reads, and output file layout. Configure custom specifications for a DataFusion pipeline. To configure a custom profile, open Build settings , select Custom under Profile size , and expand Configure custom specificatio 2026-08-20T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/c36271bb8480ead4 2026-08-20T00:00:00+00:00 Working with media in functions is now generally available. Functions can accept media items as inputs, upload new media, attach media to Ontology objects through Ontology edits and function-backed actions, and read both the bytes and the metadata of any media item. These capabilities are available for TypeScript v2 , Python , and TypeScript v1 functions. A function reads media from media sets ; this means that functions can use documents, images, audio, and video that have already been ingested 2026-08-20T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/92bba7801b52b5ae 2026-08-20T00:00:00+00:00 Grok 4.6 is now available in AIP on US georestricted and non-georestricted enrollments with xAI enabled. Model overview Grok 4.6 is xAI's latest model, optimized for long-running agents, complex coding and knowledge work, and ambitious interactive or visual projects. For more information, review xAI's Grok 4.6 announcement ↗ . Model metadata Context window: 500,000 tokens Modalities: Text and image input; text output Capabilities: Structured outputs, reasoning, and tool calling Getting started T 2026-08-20T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/876c8ebe8378a566 2026-08-20T00:00:00+00:00 Gemini 3.7 Flash is now available in AIP for non-georestricted, US georestricted, EU georestricted, IL2, IL4, and IL5 enrollments with Google Vertex AI enabled. Model overview Gemini 3.7 Flash is the next iteration in the Gemini 3 model family, featuring algorithmic improvements to its core reasoning foundation. For more information, review Google's Gemini 3.7 Flash model card ↗ and Google's model announcement ↗ . Availability Gemini 3.7 Flash is available on: Non-georestricted commercial enroll 2026-08-20T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/8562c37dfb8d100e 2026-08-20T00:00:00+00:00 Gemma 4 31B is now available in AIP through AWS Bedrock for eligible commercial enrollments. Model overviews Gemma 4 31B ↗ is Google's 30-billion parameter dense open weights model supporting multimodal input across text and image, featuring a 256K token context window. Gemma 4 31B is available for commercial enrollments with Google | Bedrock enabled in Control Panel. Getting started To use these models: Confirm that your enrollment administrator has enabled the relevant model family. Review tok 2026-08-20T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/800f8687c0ae0337 2026-08-18T00:00:00+00:00 AIP Evolve is now available in beta for enrollments with AIP enabled and access to AI FDE. AIP Evolve coordinates fleets of AI FDE agents to improve AI systems in AIP. Define a target, optimization goal, validation strategy, and operational constraints, then review the resulting proposal and agent activity before merging changes. Early adopters of AIP Evolve have used it to autonomously cut AI costs, improve eval performance, and migrate workloads to open source models. Learn more about AIP Evol 2026-08-18T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/1d13516305b91412 2026-08-18T00:00:00+00:00 AIP Analyst now supports new ways to capture reusable knowledge, analyze time series data, work with Ontology interfaces, and export results to Foundry resources. Capture reusable knowledge with AIP skills and past analyses Skills provide a first-class way to capture and share organizational knowledge. Users can configure which skills AIP Analyst has access to in the settings menu . AIP Analyst can load existing skills when they are relevant, create new skills from an analysis via the new export 2026-08-18T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/d7e5483c4dd607c7 2026-08-13T00:00:00+00:00 CoProcess user-defined functions (UDFs) are now supported in Pipeline Builder. A keyed CoProcess UDF allows users to define custom stateful logic for processing events from two different streams and merging them into a single output stream. A keyed CoProcess UDF takes a separate stream on each of its left and right inputs. Rows can be processed and emitted from either stream, which allows sophisticated real-time pipelines that go beyond standard join patterns. As with any stateful UDF, keyed CoP 2026-08-13T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/2195756e8076830f 2026-08-11T00:00:00+00:00 The new object timeline feature provides observability into actions performed on an object. See edits performed by agents or by manual action along with full attribution for each one. Monitor token usage , runtime , and agentic coverage to find where to optimize. Trace any edit back to the execution that made it. Object timeline showing edits to an object, with attribution, token usage, runtime, and change costs. View a demonstration of object timeline on the Palantir Developers YouTube channel. 2026-08-11T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/1873c0d9bb2b599c 2026-08-04T00:00:00+00:00 As of the week of August 3, SuperRepo is now available in beta, bringing a pro-code way to build complex full-stack applications anchored around the Ontology. A SuperRepo is a single monorepo that holds your Ontology definitions, your functions , and your React application together, so you can develop, build, and deploy them as one versioned artifact. With SuperRepo, you ship a feature that spans the Ontology, a function, and a frontend from one repository, in a single edit-and-preview cycle. It 2026-08-04T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/5fd9b0713413d563 2026-08-04T00:00:00+00:00 Select models from DeepSeek, Z.ai, and Moonshot AI are now available in AIP through AWS Bedrock on non-georestricted, US, EU, UK, and JP commercial enrollments. Model overviews DeepSeek V3.2 ↗ is DeepSeek's mixture-of-experts reasoning model optimized for reasoning, coding, and instruction following. It supports client-side tool use and a 164,000-token context window with up to 8,000 output tokens. GLM 5 ↗ is Z.ai's multimodal reasoning model, designed for coding, multilingual understanding, and 2026-08-04T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/4979a162496874ba 2026-07-30T00:00:00+00:00 Bulk function upgrades for automations are now available in Workflow Lineage , allowing you to keep your function-backed automations up to date without updating each one individually. Bulk upgrades work for both AIP Logic functions and code repository functions. The Update Automations panel in Workflow Lineage where users can bulk update functions in their automations. What's new Previously, updating the functions behind your automations meant handling changes individually. Now, you can review a 2026-07-30T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/007cdb3a82e7d414 2026-07-30T00:00:00+00:00 Gemini 3.6 Flash is now available for commercial enrollments with VertexAI enabled in the US, EU, and non-georestricted regions. Additionally, Gemini 3.5 Flash Lite is now available for commercial enrollments with VertexAI enabled in the US, EU, and non-georestricted regions as well as for IL2 and IL4 enrollments. Model overviews Gemini 3.6 Flash is Google's latest Flash model, optimized for multi-step orchestration, full-stack code refactoring, and general reasoning. It is ideal for quickly exe 2026-07-30T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/1d4d279d208bdaf4 2026-07-30T00:00:00+00:00 Claude Opus 5 is now available on non-georestricted enrollments from Anthropic, AWS Bedrock, Google Vertex, and Microsoft Azure. For US, EU, and non-georestricted enrollments, the model is available from AWS Bedrock and Google Vertex. For JP georestricted enrollments, the model is available from AWS Bedrock. Model overview Claude Opus 5 adds improvements in life sciences, task verification, and solving coding problems. For more information, review Anthropic's model documentation ↗ . Context wind 2026-07-30T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/9fdfdb30a3922feb 2026-07-28T00:00:00+00:00 Insight now supports Global Branching , allowing you to scope your analysis session to a branch to view Ontology data and run actions on that branch. When your session is on a branch, your analysis reflects the branch instead of main, including the workbook, the home page, and any actions you run. What's new Branch selector: Use the branch selector in the workbook header or on the home page to switch onto a branch from main. An Insight workbook scoped to a global branch, with the branch selector 2026-07-28T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/62ef610f3e3f4c2e 2026-07-28T00:00:00+00:00 Deploying extraction strategies to Python functions is now generally available in AIP Document Intelligence . As an alternative to running your strategy in a batch pipeline, you can deploy it as per-page Python functions and build your own document extraction workflow around the Ontology, structured however your use case requires. Use event-driven tools such as Automate and Ontology actions to orchestrate the workflow to fit your needs. To deploy a strategy, select View code snippets in the Depl 2026-07-28T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/af66d3447dc3e53e 2026-07-23T00:00:00+00:00 Workshop now lets builders control when individual widgets mount and unmount as users navigate within a module. This is an advanced feature that can improve application performance and the user's navigation experience when applied properly. By default, Workshop widgets mount when they become visible and unmount when they are no longer rendered by their layout, which keeps browser resource usage bounded as users navigate a module. This default works for most modules, but it can be disruptive for 2026-07-23T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/67ba3e2d78d05739 2026-07-23T00:00:00+00:00 AI FDE now creates Workflow Lineage graphs. A Workflow Lineage graph shows every relationship between your resources in a single graph, so you can see dependencies without piecing them together manually. Use it to manage, debug, and reason about how your workflows connect. Workflow Lineage tool selected in AI FDE tool window. How to use it You can generate a lineage graph in two ways: Quick view: Press CMD + i (MacOS) or CTRL + i (Windows) in the AI FDE window to generate a graph of all resource 2026-07-23T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/05f63e7816442b83 2026-07-23T00:00:00+00:00 Time Travel is now available in Dataset Preview, providing an interactive way to investigate how a dataset or Iceberg table changed across its committed versions. You can inspect data at a previous point in time, compare changes across a range of versions, and find when a specific row or value changed. Time Travel is in a beta state of development, and functionality may change. To use Time Travel, open a dataset or Iceberg table in Dataset Preview, then select the Time Travel tab. The timeline d 2026-07-23T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/bfd65e81efcf0ba1 2026-07-21T00:00:00+00:00 Assessing the health of a workflow used to mean opening each resource in turn to check its metrics. The Observability Chart widget, now generally available in Workshop, lets you plot metrics for the resources in your workflow over time so you can spot trends, anomalies, and performance shifts from a single page. This feature is now live across all enrollments. As a standard Workshop widget, the Observability Chart can be combined with others in one module. Arrange the charts with Workshop's layo 2026-07-21T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/96db0af764121024 2026-07-21T00:00:00+00:00 Understanding which users can access what resources and why is critical for builders and platform administrators. You can now view and debug permission issues in Workflow Lineage directly from the graph, making it easier to manage security policies and resolve issues with action submission criteria. Learn more about managing security in Workflow Lineage. Debug action submission issues in one place The new Debug permissions feature helps you quickly view and understand user issues with submitting 2026-07-21T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/71322bce42de30cc 2026-07-21T00:00:00+00:00 Restricted views now integrate with Global Branching. You can build and test changes to a restricted view's policy and markings on a branch before merging into main. Compare a restricted view's policy and marking changes against main during a rebase. Highlights Build on a branch: Build a restricted view on a branch to propagate upstream changes to its backing dataset on that branch. Test policy and markings changes: Restricted view owners can edit policies and modify markings on a branch. Rebase 2026-07-21T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/fd1f5ee66d7cbf47 2026-07-14T00:00:00+00:00 Marketplace now supports installing and upgrading multiple products in the same installation draft. Previously, you had to configure each product individually and manually choose linked product inputs between them. Marketplace now fulfills those inputs automatically from linked products in the same job. Bulk installations To create new product installations in bulk, navigate to a Marketplace store and select Create new installations in the top right corner. Check the boxes on the product cards y 2026-07-14T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/0caa26cf0ba04f54 2026-07-14T00:00:00+00:00 GPT-5.6 Sol, GPT-5.6 Terra, and GPT-5.6 Luna are now available in AIP on US georestricted or non-georestricted enrollments with Direct OpenAI enabled and for non-georestricted enrollments with Azure OpenAI enabled. Model overviews The GPT-5.6 series is OpenAI’s newest family of models. It includes a frontier model for advanced workloads, a balanced model for intelligence and cost, and a cost-effective model for high-volume use cases. The GPT-5.6 series includes the following models: GPT-5.6 Sol: 2026-07-14T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/4a3c28cb0b869a5d 2026-07-14T00:00:00+00:00 Grok-4.5 is xAI's newest model, the first of which is trained using Cursor developer data. Grok-4.5 runs on V9, xAI’s new 1.5 trillion parameter foundation, roughly three times the size of the v8-small architecture behind Grok 4.3. Metadata Context Window: 500k tokens Modalities: Text/Image input; text output Capabilities: Function calling, reasoning, structured outputs For more information, review xAI's model documentation ↗. Getting started To use this model: Confirm your enrollment administra 2026-07-14T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/912cf169238f44bd 2026-07-09T00:00:00+00:00 Automate now supports Global Branching. You can modify automations on a branch and test them end-to-end before merging your changes into the main branch. Branching lets you iterate on automation logic without disrupting live workflows or the people who depend on them. Automate supports the full set of branching features: Modifications: Add, modify, remove, and merge changes on branches. Environment isolation: Changes and executions of your automations run in the context of the branch. Protection 2026-07-09T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/33f63ea13af9e472 2026-07-09T00:00:00+00:00 Foundry now makes it easier to build, configure, and ship pro-code agents . Agents combine a large language model with your Foundry data and tools. They can read and write Ontology data, fix failing builds, or migrate legacy systems into Foundry. Agents now authenticate against the Ontology SDK (OSDK), Ontology MCP (OMCP), and Palantir MCP with scoped permissions out of the box, so you no longer pass a client ID and secret to call tools. After you publish an agent, you can call it from Workshop 2026-07-09T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/a611a15c1fd3701f 2026-07-07T00:00:00+00:00 Model evaluations is a new Python API for capturing how a model version performs against test data and visualizing the results directly on the model page. An evaluation is a collection of metrics, images, plots, and tables that you define and log yourself, allowing you to compare model performance across versions and over time. Previously, evaluating a model in a structured way meant working inside a modeling objective. Model evaluations remove that requirement: you can now author evaluation log 2026-07-07T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/4d8ebd58b5be151d 2026-07-07T00:00:00+00:00 Claude Sonnet 5 is now available in AIP for eligible commercial and US government enrollments. Model overview As Anthropic’s most agentic Sonnet model yet, Sonnet 5 narrows the gap with Claude Opus 4.8 on reasoning, tool use, coding, and knowledge work, while remaining available at a lower price point. It provides a strong balance of intelligence, speed, and cost for production AIP use cases. For more information, review: Anthropic’s Claude Sonnet 5 model documentation ↗ Anthropic’s Claude Sonne 2026-07-07T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/f408ed0a0e1a7a6a 2026-07-02T00:00:00+00:00 Enrollment administrators can now view and configure per-user rate limits for LLM usage in AIP, providing more granular control over how an enrollment's capacity is consumed. Background LLM capacity in AIP is managed at three levels. Enrollment-level limits set the overall ceiling for your organization's token and request throughput. Project rate limits control how much of that enrollment capacity each project can use. Project rate limits are already configurable by administrators. Per-user rate 2026-07-02T00:00:00+00:00 Foundry Announcements tag:trvny.github.io,2024:feedseek/palantir/4ad3c98e2e07cd06 2026-07-02T00:00:00+00:00 AIP Analyst chats can now be saved as analysis resources in Compass, allowing you to return to prior analyses, share them with collaborators, and continue iterating over time in both standalone AIP Analyst and the Workshop widget. When you reopen an analysis, AIP Analyst re-runs the agent's tools and regenerates responses against the latest state of your Ontology, so the results always reflect the current state and respect each viewer's permissions. Choose where to save the analysis and review w 2026-07-02T00:00:00+00:00 Foundry Announcements