AI tools for “ui”

…redis-iris, so every agent turn is one trace in the Lens UI with its LLM calls, tokens, tool calls, memory and document retrievals, and which of them entered the prompt. Detects how the agent runs (LangGraph or ADK…

…for judging. Triggers on: "run our evals", "run the eval suite", "run eval urn:li:eval:...", "how are our evals doing", "check for eval regressions", "upload this answer as an eval result", "score this answer with the…

…with entity mapping and architecture decisions. Use when building a new connector, researching a source system for DataHub, or designing connector architecture. Triggers on: "plan a connector", "new connector for X",…

Provisions AlloyDB agent pools and deploys AI data agents or multi-agent swarms on Vertex AI Agent Engine and Gemini Enterprise. Three capabilities: (1) provision an AlloyDB agent pool over Private Service Connect (PSC)…

Tools and guidance for data upload, dataset management, data validation, and preparing data for DataRobot projects. Use when uploading datasets, managing data, or validating data for DataRobot.

…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…

…or any request to load DataHub connector development…

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,…

…Use when organizing entities with tags, building hierarchical namespaces, defining typed metadata fields, setting property values, finding entities by tag, bulk-tagging during onboarding, or migrating…

…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…