AI tools for “ci”
439 results (tools & skills) · 150 ms · understood as by meaning
…what persists across stop and resume, file paths and syncing for DFS and Git-based Projects, package and home-directory persistence, SSH access from a local IDE, the Workspace API routes, and troubleshooting. Use…
Set up GenAI tracing for an LLM or agent application in Domino by checking the Domino SDK and MLflow requirements (the DSE needs nothing installed), then adding a tracing_setup.py helper, span evaluators, a config.yaml,…
…datasets, environments and Model APIs, and automation from CI/CD. Use when automating Domino workflows, integrating Domino with external systems, or building custom tooling around Domino. For multi-step pipelines…
…Git credentials and repositories, file paths in runs, syncing and branches, collaborator roles and visibility, project settings (default environment, hardware tier, environment variables), copying, importing,…
…(text or binary) for DFS projects, so work stays reproducible, governed and tracked in Experiment Manager. Use when setting up an AI coding assistant to work with Domino, configuring or troubleshooting the Domino…
…prediction auth. Use when scripting deployments from CI, a Job or a notebook, registering a model version by API, or debugging stop, archive and delete behaviour. For UI publishing, the predict function, scaling…
…container registry from GitHub Actions, Jenkins or another CI/CD pipeline, push a model to NVIDIA Fleet Command or Snowflake, deploy a registered model to a SageMaker external endpoint, or asks about the Exports page.…
Decide and implement how code running in Domino reaches a Large Language Model, LLM Gateway 2.0 first where deployed (routed to domino-llm-gateway); otherwise Option A, an external provider (OpenAI, Anthropic, AWS…
Manage model risk governance in Domino using policies, bundles, evidence, findings and approvals through the Governance API (/api/governance/v1). Covers creating bundles, attaching evidence (registered model versions,…
…in Domino with the Domino agents SDK, using the @add_tracing decorator, span and trace evaluators, DominoAgentContext / DominoRun evaluation runs with aggregated metrics, manual MLflow spans, and post-hoc or…
…hardware tier, commit and dataset snapshots for reproducibility, caching, subflows, approvals, launching with pyflyte, scheduling through a Job, monitoring runs, lineage and logs, and re-running, recovering,…
…page context). Covers extension_manifest.json, the official installer versus the manual Extensions API, App publish and identity requirements, auth and host rules for Extension backends, and the…
…Covers unique experiment naming, auto-logging for scikit-learn, TensorFlow, PyTorch, XGBoost and LightGBM, manual logging of params, metrics and artifacts, Domino context tags, large-artifact multipart upload,…
…and build troubleshooting. Use when installing dependencies, adding IDEs or tools, or fixing environment build…
…user mentions the Domino CLI, a `domino` shell command, syncing project files from a laptop, the Domino R package, or running Domino jobs from R or a terminal. Not the `dom` SSH tool kit and not…
…App, and automate those steps over the Apps API or a CI/CD pipeline. Use whenever the user wants to publish, deploy, ship, launch, release or host an app (React/Vite, Streamlit, Dash, Flask, Shiny, Gradio,…
…or find and fix gaps (secrets, unpinned models, missing CI, missing guardrails, over-permissioned identity, etc.) before deploying an agent to production. Works on any repository, not only ones built with…
…and governance. Use when the user says "add tracing/observability/monitoring to my agent", wants to instrument an existing agent project in their IDE, wants to send agent traces, logs, or metrics to…
Use ONLY when the user explicitly asks to see, show, graph, visualize, chart, or plot data, or when another loaded Datadog data-domain skill directs you to visualization guidance. This is the plugin's local copy of the…
…query metrics, inspect APM traces, investigate SLOs or incidents, debug production issues, investigate errors, analyze performance, investigate a named service's health, errors, or dependencies, or access any Datadog…