AI tools for “ui”

…the async endpoint alternative), the Model Export API (buildModelImage, exportImageToRegistry, build and export status and logs, .modelignore, running the exported image on your own Kubernetes), and the export…

…and the in-run access token, including the Host an LLM UI and REST API (/api/gen-ai/beta), endpoint metrics and logs. Covers the legacy AI Gateway. Use when a user asks how to call an LLM from a Workspace, Job, App…

…and finding launcher runs through the Jobs API. Use when building self-service reports, batch scoring forms, or data-product UIs for non-technical…

…and data processing. Covers starting a Job from the UI, CLI or REST API, hardware tiers and environments, scheduled Jobs (Quartz cron, UI or API), status and logs, stopping Jobs, results and notifications. Use…

…usage, latency, tool calls and errors per span. Use when building or debugging agents and LLM apps on Domino, adding evaluators or LLM-as-judge scoring, comparing agent versions in Experiment Manager, or scoring the…

…recovering, stopping or archiving runs from the UI or the Flyte API. Use when building a DAG of Domino Jobs, a multi-stage training workflow, or any pipeline that needs lineage and reproducible reruns. For a…

Build and operate Domino UI Extensions (mount a published Domino App at a Domino UI mount point with page context). Covers extension_manifest.json, the official installer versus the manual Extensions API, App publish…

…variables, Pluggable Workspace Tools, revisions and build propagation, requirements.txt versus preloaded packages, the environments REST API, and build troubleshooting. Use when installing dependencies, adding…

…and execution environments, attaching a cluster from the UI or the Jobs API (computeCluster), connecting from code, autoscaling, cluster web UIs and lifecycle, and troubleshooting. Use when processing large datasets,…

…port, localhost binding, absolute base paths, a hand-built URL prefix instead of DOMINO_RUN_HOST_PATH, BrowserRouter deep links, missing build steps, or a model token compiled into the browser bundle. Use when a…

…DFS Projects, /mnt/data/<name> in Git-based Projects), the UI and domino CLI steps, and the /api/datasetrw REST routes with request bodies, including how to read a snapshot you just took from the same run. Use whenever…

…EFS, SMB or S3 volume, or which of these options fits a…

…stats; create or iterate container artifacts; build images server-side; lock artifacts for production; zero-downtime rolling artifact…

Tools and guidance for making predictions with DataRobot deployments, including real-time predictions, batch scoring, prediction dataset generation, and prediction explanations (SHAP/XEMP). Use when making predictions,…

Comprehensive guidance for training models in DataRobot, including project creation, AutoML configuration, feature engineering, and model selection. Use when training models, creating AutoML projects, or selecting…

Tools and guidance for monitoring model performance, tracking data drift, managing model health, and detecting prediction anomalies. Use when monitoring deployed models, tracking drift, or investigating prediction…

Tools and guidance for model explainability, prediction explanations, feature impact analysis, SHAP values, SHAP distributions, anomaly assessment, and model diagnostics. Use when analyzing model explanations, feature…

Tools and guidance for deploying DataRobot models, managing deployments, configuring prediction environments, and deployment operations. Use when deploying models, creating or updating deployments, or configuring…

…wants to assess whether an AI agent repository (DataRobot-built or not) is enterprise-ready, run a gap analysis / readiness scan against security, governance, reliability, or regulatory standards, score an agent…

Guidance for feature engineering, feature discovery, feature importance analysis, and understanding DataRobot's automated feature engineering capabilities. Use when working with feature engineering, feature discovery,…