> ## Documentation Index > Fetch the complete documentation index at: https://docs.trainy.ai/llms.txt > Use this file to discover all available pages before exploring further. # Logs > View logs from your run Logs are collected from tracked experiments allowing you to scroll through your logs via the webUI. There are two ways to view a run's logs in Pluto: * **The dedicated Logs tab** — a full-screen viewer for a single run's `stdout`/`stderr`, described on this page. * **Console log widgets** — add logs as a [file widget](/pluto/visualizations/logs) to a custom dashboard, to view them alongside metrics and visualizations. ## **Viewing Logs** To view the logs of an experiment, you can click on the experiment in the list of experiments and then click on the "Logs" tab. You will see something like this: Logs UI Both `stdout` and `stderr` of your experiments are saved, allowing you to filter out logs based on what you want to see. ## Search Modes The logs viewer supports two search modes: * **Filter** — Only shows log lines that match your search query, hiding everything else * **Navigate** — Highlights matching lines and lets you jump between them with next/previous buttons while keeping the full log context visible ## ANSI Color Support Logs retain ANSI color codes from your terminal output, so colored log messages (e.g., from libraries like `rich` or `colorama`) are rendered with their original formatting in the web UI. ## Console Log Dashboard Widgets You can also add logs to a custom dashboard as a **console log widget** — see [Logs](/pluto/visualizations/logs) under Visualizations → Files.