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    API Reference ↗
    AnnouncementsOctober 2026

    Announcements

    REMINDER: Sign up for the Foundry Newsletter to receive a summary of new products, features, and improvements across the platform directly to your inbox. For more information on how to subscribe, see the Foundry Newsletter and Product Feedback channels announcement.

    Share your thoughts about these announcements in our Developer Community Forum ↗.

    AIP Analyst adds organization defaults, group skills, model categories, and compact view

    Date published: 2026-10-01

    AIP Analyst now gives teams more ways to configure shared defaults and workflow guidance. New model categories simplify model selection, while compact view keeps conversations focused on your questions and the agent’s responses.

    Configure organization defaults

    Administrators can now set default search scopes and a default model category through the AIP Analyst extension in Control Panel. Users starting a new analysis directly in AIP Analyst inherit defaults from their primary organization for settings they have not configured. They can override these defaults in Settings.

    Organizations can also require watermarks on PDF exports.

    Users receive their primary organizations settings by default user defaults can be updated in the settings dialog.

    Users receive their primary organization's settings by default, user defaults can be updated in the settings dialog.

    Share workflow guidance through group skills

    Administrators can now assign AIP skills to user groups from Control Panel. Assigned skills automatically appear in members’ Skills settings, making shared guidance available without each user having to add it individually.

    Use group skills to share instructions for common workflows, recommended object types and relationships, or guidance for interpreting results. Administrators choose which skills are enabled by default, and users can toggle inherited skills on or off. AIP Analyst loads an enabled skill’s full instructions when relevant to a question.

    Configure skills for a group in the Control Panel app.

    Configure skills for a group in the Control Panel app.

    Choose between Fast, Balanced, and Smart

    AIP Analyst now offers three model categories: Fast, Balanced, and Smart. The models behind these categories are updated as newer, more capable models become available.

    Choose your preferred default category in Settings > Models, or switch categories from the chat. You can also configure a specific model for each category. Custom overrides do not receive automatic model updates, so you may miss newer models until you restore the category’s default.

    Workshop builders can also configure the models used for each category and choose the default category for their widget.

    Select a Fast Balanced or Smart model depending on the task.

    Select a Fast, Balanced, or Smart model depending on the task.

    Keep conversations focused with compact view

    Enable Compact view in Settings > General to collapse tool activity under concise status labels that update as AIP Analyst works. Your questions and the agent’s text responses remain visible. Expand the activity summaries whenever you want to inspect tool results.

    You can also enable Hide thinking details to hide the model’s thinking content. Workshop builders can configure both options through Compact tool views and Hide thinking details.

    Compact mode minimizes tool views keeping focus on the summaries.

    Compact mode minimizes tool views, keeping focus on the summaries.

    Your feedback matters

    We want to hear about your experiences using AIP Analyst in the Palantir platform and welcome your feedback. Share your thoughts with Palantir Support channels or on our Developer Community ↗ using the aip-analyst tag ↗.

    Fireworks models now available for US georestricted commercial enrollments

    Date published: 2026-10-01

    The following models are now available in AIP through Fireworks for US georestricted commercial enrollments:

    Existing availability for non-georestricted (GLOBAL) commercial enrollments continues.

    Getting started

    To use these models:

    Your feedback matters

    We want to hear about your experiences using language models in the Palantir platform and welcome your feedback. Share your thoughts with Palantir Support channels or on our Developer Community ↗ using the language-model-service tag ↗.

    Faster pipelines in Pipeline Builder now support Iceberg tables

    Date published: 2026-10-01

    We're excited to announce support for reading and writing Foundry Iceberg tables directly in Pipeline Builder's Faster pipelines. You can use Iceberg tables as inputs, perform custom logic and transforms, and output Iceberg tables. This new capability provides greater flexibility and performance when building data transformation pipelines.

    A Faster pipeline with Iceberg inputs and an Iceberg output

    A Faster pipeline with Iceberg inputs and an Iceberg output

    What's new

    Use Iceberg alongside existing Foundry datasets in Faster Pipelines. You can read datasets and write Iceberg outputs, or use Iceberg tables as inputs to downstream transformations.

    Key Features

    • Encrypted Iceberg table support: Read and write both encrypted and unencrypted Iceberg tables in both Spark and Faster pipelines.
    • Overwrite or append to Iceberg outputs: Rebuild the table’s contents in a snapshot run, or append new results from an incremental run. Note that reading from incremental Iceberg inputs in Faster pipelines is not yet supported.
    • Data quality expectation support: Apply data quality expectations to Iceberg outputs with checks that can fail the build before publishing invalid results, ensuring data integrity.

    Iceberg support in Pipeline Builder can help improve performance and provide additional flexibility when optimizing existing workflows or building new ones.

    Your feedback matters

    We want to hear about your experiences using Iceberg in the Palantir platform and welcome your feedback. Share your thoughts with Palantir Support channels or on our Developer Community ↗ using the iceberg ↗ tag.