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Loop v2025.11.281349 - Beta Release#

Release Date: November 28, 2025

Enhancements#

  • Remix: Experiment With Real LLM Calls

    Re-run any captured LLM call with different models, parameters, or prompts — test "what if" scenarios against your actual data.

  • Quick Prompts: Edit & Redesigned Dialog

    Quick prompts now feature editing capabilities alongside a modernized dialog interface.

  • Timeline Chart Uses Label-Based Coloring

    The timeline adopts label-aware coloring for improved visual organization.

  • Project Appearance Settings

    Users gain expanded control over project customization and visual presentation.

  • Improved Duration Formatting

    Duration values display with enhanced intelligence and consistency across the interface.

  • Display Actual Time Range in Insights

    The insights bar now shows the actual time range of the loaded spans, improving transparency.

  • Expandable Section Tweaks

    Collapsible sections function with greater consistency and refinement.

UI / UX Fixes#

  • Fixed Flickering with Long Prompt Names in Insights Menu

    Long prompt names no longer cause visual flickering.

  • Fixed Timeseries Chart in Traces View

    Resolved rendering and operational issues in span timeseries charting.

  • Fixed Project Initialization Race Condition

    Eliminated startup timing issues affecting project initialization.

  • Improved Span Label Coloring Logic

    Label coloring now correctly prioritizes non-root labels in timeline visualization.

Server / API Improvements#

  • Added API Key Authorization

    Server now supports authorization via LENS_SERVER_API_KEYS.

  • Dedicated Labels API Endpoint

    New dedicated endpoint enables more efficient label querying.

  • Span Scores Storage + CRUD APIs

    Server persists span quality scores with complete CRUD operations.

  • Analytics Endpoint Fixes

    Adaptive bucketing and filtering applied consistently across analytics queries.

  • Improved OpenRouter Cost Extraction

    Cost extraction now correctly processes actual model responses.