Documentation en en jp kr zh AB XY AB XY AB XY AB XY AB XY AB XY AB XY Capabilities Platform updates Workshop Core concepts Actions Functions Embed Workshop modules Variable types and usage Cross-application interactivity Core display widgets Visualization widgets Filtering widgets Event-trigger & navigational widgets AIP widgets Embed Foundry applications Scenarios Mobile Slate Manage Slate applications Read and write data Logic Styles Widgets Troubleshooting OSDK React applications Agent Studio [Beta] Automate Condition Effects Settings Concepts Examples Carbon Workspaces Modules Permissions and access Configuration reference Editing with code Solution Designer Use Cases [Sunset] Resources Workflow Builder [Beta] Use case development Agent Studio [Beta] Overview ← PREVIOUS Application building / OSDK React applications / Troubleshooting Application building / OSDK React applications / Troubleshooting NEXT Core concepts Core concepts → Targeting Cookies Consent Leg.Interest checkbox label label checkbox label label checkbox label label checkbox label label + K AIP Agent Studio is in the beta phase of development and may not be available on your enrollment. Functionality may change during active development. To enable AIP Agent Studio, contact your platform administrator to modify application access in Control Panel. AIP Agent Studio allows users to build interactive assistants, known as AIP Agents, that are equipped with enterprise-specific information and tools, deployable internally in the platform and externally through the Ontology SDK and platform APIs. AIP Agent Studio provides a natural language interface to leverage the Ontology, documents, and LLMs via AIP Agents that can take and update application variables (such as Ontology objects or text strings). For the following notional example, the following screenshot shows an LLM-powered AIP Agent that uses an application variable to take a filtered Ontology object set of customer support transcripts as context when answering user questions about current product issues. The above AIP Agent can be deployed in a Workshop application. AIP Agent Studio is built on the same rigorous security model that governs the rest of the Palantir platform. These platform security controls grant an LLM access only to what is necessary to complete a task. To understand whether AIP Agent Studio is the best Palantir platform tool for your workflow, consider the following questions: If your workflow would not require a "conversation-style" interface, we recommend you use AIP Logic or the AIP Generated Content widget in Workshop instead. Examples where a conversation interface is not recommended include: If a conversation interface is more applicable (usually for ad-hoc or human-empowering knowledge retrieval tasks), consider the following tiers of increasing complexity. New to AIP or large language models (LLMs)? Start with AIP Threads to better understand how LLMs can help you improve productivity. Use AIP Threads for ad-hoc document analysis by dragging and dropping documents to get relevant LLM-powered answers. Upgrade ad-hoc thread configurations from AIP Threads to AIP Agents for reusability, with granular permissions and configuration options in AIP Agent Studio. You can also create basic Ontology-powered, RAG-styled agents in AIP Agent Studio. You can use AIP Agents in AIP Threads or OSDK with platform APIs. Integrate AIP Agents into Workshop applications using the AIP Interactive widget or OSDK using Developer Console and platform APIs. Pass application-specific context to these agents with application state such as object set variables. Define more complex or deterministic logic in AIP Logic or in Functions-on-Objects, and have the AIP Agent manage the conversation state. Use the AIP Interactive widget or OSDK with platform APIs. Learn more about the core concepts of AIP Agent Studio or get started with building an AIP Agent. © 2025 Palantir Technologies Inc. All rights reserved. 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