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.
Can't find Workflow Builder and AI Hivemind in Control Panel — how do I enable them?
Hey everyone! I came across these two YouTube videos from DevCon and wanted to try both features out on my enrollment, but I can’t find either of them listed under Control Panel → Application Access to enable them. Workflow Builder (from DevCon 4): Product Launch: Workflow Builder | DevCon 4 YouTube · Palantir Technologies I went to Application Access → Application settings → Ontology section and expected to see it listed under Beta, but it’s not there. Is this a permissions issue? Do I need enrollment admin rights for it to show up? AI Hivemind (from DevCon 5): Product Launch: Hivemind | DevCon 5 YouTube · Palantir Technologies For Hivemind, I couldn’t find any enable toggle or dedicated section for it anywhere in Control Panel or AIP settings. Is it surfaced inside AIP Agent Studio, or is it a separate application entirely? Is it available on commercial enrollments or currently limited to specific tiers? Any help on where to look or what steps to take woul
Rich text editor widget in Action Form stores images as base64 — can't pass HTML output to AIP Logic or external apps
What we built We built a custom rich text editor widget inside a Foundry Action Form that lets users write a description with inline images. When the action is submitted, the full HTML is stored in a description field. The widget works as expected on the surface. The issue The HTML stored in the description field embeds images as base64 strings directly inside the markup. This creates a hard blocker for any downstream usage: AIP Logic can’t process it — the raw HTML with large base64 blobs is too heavy and unstructured for a language model to meaningfully analyse or act on the description content External applications can’t consume the images — downstream systems expect image URLs or binary references, not raw base64 strings embedded inside an HTML field Image-based analysis is blocked — images can’t be piped to vision models, OCR, or classification pipelines because they aren’t discrete objects; they’re buried inside the HTML string H
Foundry SDK SQL Queries Errors
Hello! On my stack, I been using the Foundry sdk to run SQL queries against thousands of data sets to sample. I then package it up and run an LLM against it to get a description of those datasets. This is very much a wide governance and “what’s in our foundry” question. I know foundry sdk is in preview for this purpose. It’s actually generated several unique errors that I believe are because of the platform. If it would be helpful for the product to show the query failure errors, I’d be happy to share them to product team. 1 post - 1 participant Read full topic
Claude Code custom endpoint fails on Palantir Language Model Service with `unrecognizedProperty=context_management`
Hi Palantir team, I am documenting a reproducible compatibility issue between newer Claude Code versions and the Anthropic-compatible endpoint exposed through Palantir Language Model Service when using a custom setup instead of Palantir-hosted models. The error returned by the endpoint is: ```text API Error: 400 {“errorCode”:“INVALID_ARGUMENT”,“errorName”:“LanguageModelService:InvalidRequest”,“parameters”:{“unsafeParams”:“{unrecognizedProperty=context_management}”,“message”:“Request contained an unrecognized field”}} ``` ## What we observed - `palantir-mcp` itself can be configured and connected successfully. The failure happens when Claude Code sends the actual LLM request. Claude Code `2.1.87` fails against the Palantir Anthropic-compatible endpoint. Claude Code `2.0.76` succeeds against the same endpoint and authentication setup. This suggests the issue is not MCP connectivity itself, but request-schema compatibility at the Language Model Service layer. ##
AI FDE keeps giving me an error when it spins up subagets
Hi there, AI FDE keeps giving me an error when it spins up subagents mid building something when switching modes. Does anyone know why this keeps happening? I tried restarting it a couple of times but each time it gets stuck. On this error 1 post - 1 participant Read full topic
What application is used for use cases in AIP CON 9?
Hi, I watched the videos of AIP Con 9. All the use cases have coolest user interface. Are these made with React application? I think it is React but is there some sort of application to make this UI? Because all the use cases have similar looking widgets 3 posts - 2 participants Read full topic
Unofficial starter for deterministic local contract testing in Foundry oriented workflows
I put together a small open source starter for a problem I kept wanting a cleaner answer to: how to test the TypeScript contract layer around a Foundry oriented workflow before deployment or later platform evaluation. Repo: https://github.com/vitron-ai/aip-foundry-themis-starter This is an unofficial example. It is not affiliated with, endorsed by, or maintained by Palantir. The repo is intentionally narrow. It uses one intake-triage workflow to show how to: shape a request payload validate raw agent or function output with runtime schemas normalize that output into a stable app-facing contract preserve telemetry like request ID, latency, retry count, and fallback usage export a local handoff artifact for later evaluation work It also includes deterministic local tests for failure modes like malformed JSON, missing fields, unsupported status values, and empty output, plus a small React demo and an OSDK-like seam showing where a real client co
Pilot - Error response
Hi, I am trying to use Pilot to build out my front end app. I already made the ontology. I am able to load into the application, and the LLM processes my request, however it doesn’t actually make any edits to the code even though it says it’s done the front end. I then ask it to add the code but i keep getting the message “Error communication with language model service” Any help with this? Kind regards Sam 2 posts - 2 participants Read full topic
AI FDE Context Management
Hey, I appreciate all of the awesome work that’s been done on AI FDE over the past month. Context management is much better. Got a strange message today that the window is being wasted by hidden items The agent is typically working within window of 80k - 200k window and rarely goes over 200k, which makes me think the context management tool is wired to think the window is 200k independent of model being used. Works fine but might benefit from being less aggressive for large context window models also, how can I get access to hivemind? I try to run it but looks like I’m missing a marketplace installation. 1 post - 1 participant Read full topic
Cant use marketplace downlaod from github
Hello, when installing the AIP Renovation Planner.zip from github I get these errors. How do i fix this? Can i fix this…? 1 post - 1 participant Read full topic
AIP Logic can't use Ontology types backed by Restricted Views with Project-scoped execution?
I am trying to create an AIP Logic to create an AI Agent that uses the Ontology SQL tool. It currently uses an object that is backed by a Restricted View and we were using the User-scoped execution that comes by default. Everything works great. However, it’s important that other users also have access to the logs, so we would like to change it to Project-scoped execution. But, when we try to do this we get errors: If you try to Preview it shows: “Publish errors: Unable to create scoped token” If you try to Publish the function it shows: Failed to publish: {"type":"STATUS","status":500,"body":{"errorCode":"INTERNAL","errorName":"Default:Internal","errorInstanceId":"a6d86274-1b0b-4597-a92e-7a5a7957a31f","parameters":{}}} I tried to add the Restricted Views as File References in the AIP Logic Project, but it does not work. Even trying to create the AIP Logic in the same Project as the Ontology, it throws the same error. Any ideas on how to solve this? 1 p
Five AI Agent Vendors Asked Us to Try Their Product This Week. Just One Got Deployed. Here’s the Difference.
This week alone, five leading AI Agent vendors reached out asking us to try their products, and another 20-30 LinkedIn’d us or emailed us hoping to get our time. From Public companies to hot startups. All of them. The problem: we already run 30+ AI Agents at …
The $1T infrastructure war: How Nvidia is replatforming the agentic era
Every keynote from Nvidia Corp. Chief Executive Jensen Huang is a marathon. It’s a 2.5-hour firehose of product drops and partnerships designed to test the limits of even the most hardcore silicon fanboys. It’s high-octane, high-bandwidth and, frankly, a lot …
Issues with Uploading Media Sets and Disappearing Chats in AIP Threads
My team has been encountering a few persistent issues that we need assistance with in AIP Threads: Errors Uploading Media Sets : Many end-users have reported errors when trying to upload any kind of file with “Upload documents.” For some users, the only beneficial workaround we’ve found is to clear the “cache,” specifically all the media sets previously uploaded under “My Files.” Can anyone provide guidance or a more permanent solution for this issue, since more users are experiencing it as we continue using the application? Indefinite Chats Disappearing : We’ve noticed that some indefinite chats are disappearing. Users are changing the default to indefinite before starting conversations, but some chats are missing when users return to continue them. Is this a known issue, and are there any recommended steps to prevent this from happening? “Search for Documents” Feature Update : Lastly, I was wondering if there is any update on the “Search for documents” feature in AIP Threads
Speedrun: Your First Agentic AIP Workflow
I’m currently completing the “Speedrun: Your First Agentic AIP Workflow” and I’m blocked at the installation phase of my AIP Logic block (v1.2.0). The Issue: > When attempting to select a model (e.g., GPT-5 nano), the search dropdown is entirely blank. This prevents validation and installation due to inputShapeNotSpecified and PERMISSION_DENIED errors. Troubleshooting Done: Control Panel: AIP is enabled, and the GPT-5 model family is “Enabled” with “Everyone” access. Application Access: AIP Logic is explicitly enabled for my user group. Environment: The model works perfectly in Workshop widgets within the same project, but is invisible to the AIP Logic editor. Project Structure: I have verified project references are added between my working project ( xx ) and the model registry. Is there a specific AIP Service User permission or a Resource Reference I might be missing for the Logic engine specifically? Many thaks 1 post -
Auth failing for Anthropic Agents SDK and LLM Proxy
When building with Anthropic’s Agent SDK (not the client SDK, that works fine) I set the ANTHROPIC_API_KEY and ANTHROPIC_BASE_URL to my Foundry URL and access token. I can see by proxying the requests API calls to my Foundry stack and to Anthropics APIs, for example: [REQUEST URL] CONNECT <REDACTED>.palantirfoundry.com:443 HTTP/1.1 [HEADER] host: <REDACTED>.palantirfoundry.com [HEADER] connection: close [REQUEST URL] CONNECT api.anthropic.com:443 HTTP/1.1 [HEADER] host: api.anthropic.com:443 [HEADER] proxy-connection: close The fill stack URL provided in the is: <REDACTED>.palantirfoundry.com/api/v2/llm/proxy/anthropic The token is a valid token create with the OSDK. I also tried a personal access token. But I keep gettin 401 authentication failed. attempt = 1 error = 'authentication_failed' error_status = 401 max_retries = 10 retry_delay_ms = 536.6033701315846 session_id = <REDACTED> subtype = 'api_retry' type = 'system' uuid = <REDACTED&g
How to share Agent Rule across Code Workspaces
I have a Code Workspace where I’m building React apps, and I’ve turned our company’s design standards into a Rule file that I can call from the Continue copilot. This has saved us significant time on design reviews and making sure whatever we build in the repo adheres to our design standards. What is the best practice for sharing this design standard Rule across other Code Workspaces or repos so that my teammates can also leverage it for their development work? 1 post - 1 participant Read full topic
Pilot Feedback - Rate Limits
Sharing some feedback for Pilot on Dev Tier I was able to rebuild an app I’d previously built in Developer Console w/ VSCode and Continue with three prompts and 25 minutes, pretty impressive The one thing having reviewed the log files for the build is that at the 130k tpm rate limit in place for this tool on Dev(I assume it’s higher on Enterprise) >80% of calls failed on my first build. It’s totally understandable why limits exist for us free users, however the limits are quite impactful, the build time would be significantly faster with a 225k tpm rate limit. Agent Successful Failed (Rate Limited) Total Attempts Failure Rate Avg Tokens/Call Peak Tokens/Call ontology-architect 3 14 17 82.4% 27,582 35,522 designer 1 4 5 80.0% 3,234 3,234 frontend-architect 17 71 88 80.7% 38,133 52,662 seed-data-generator 1 5 6 83.3% 26,304 26,304 main-orchestrator 4 16 20 80.0% 25,2