Getting Started

Changelog

January 27, 2026

Here are the most relevant improvements we’ve made since the last release:

🚀 Optimization Studio

We’re excited to introduce Optimization Studio — a powerful new way to improve your prompts without writing code. Bring a prompt, define what “good” looks like, and Opik tests variations to find a better version you can ship with confidence.

What’s new:

  • No-code prompt optimization - Optimization Studio helps you improve prompts directly from the Opik UI. You see scores and examples, not just a hunch, shortening the loop from idea to evidence
  • Algorithm selection - Choose how Opik searches for better prompts: GEPA works well for single-turn prompts and quick improvements, while HRPO is better when you need deeper analysis of why a prompt fails
  • Flexible metrics - Define how Opik should score each prompt variation. Use Equals for strict matching when you have a single correct answer, or G-Eval when answers can vary and you want a model to grade quality
  • Visual progress tracking - Monitor your optimization runs with real-time progress charts showing the best score so far and results for each trial
  • Trials comparison - The Trials tab lets you compare prompt variations and scores side-by-side, with the ability to drill down into individual evaluated items
  • Rerun & compare - Easily rerun the same setup, cancel a run to change inputs, or select multiple runs to compare outcomes

For teams that prefer a programmatic workflow, we’ve also released Opik Optimizer SDK v3 with improved algorithms, better performance, and more intuitive APIs.

👉 Optimization Studio Documentation

📊 Dashboard Improvements

We’ve enhanced the dashboard with new widgets and visualization capabilities to help you track and compare experiments more effectively.

Experiment Leaderboard widget showing ranked experiments with feedback scores and metrics charts

What’s new:

  • Experiment Leaderboard Widget - A new leaderboard widget lets you rank and compare experiments at a glance directly from your dashboard, making it easier to identify your best-performing configurations
  • Group By for Metrics Widget - The project metrics widget now supports grouping, allowing you to slice and dice your metrics data in more meaningful ways
  • Span-level Metrics Charts - New charts provide visibility into span-level metrics, giving you deeper insights into the performance of individual components in your traces
Project metrics dashboard showing span count, duration percentiles, and spans by model provider

🎬 Video Generation Support

We’ve added support for the latest video generation models, enabling you to track and log video outputs from your AI applications.

What’s new:

  • OpenAI SORA Integration - Log and track video generation outputs from OpenAI’s SORA model directly in Opik
  • Google Veo Integration - Full support for Google’s Veo video generation API, including automatic logging of video outputs and metadata

🧪 Experiment Management

We’ve made it easier to organize and navigate your experiments with new filtering and tagging capabilities.

What’s improved:

  • Project Column in Experiments View - Experiments now display their associated project directly in the list view, making it easier to understand context at a glance
  • Project Filter & Grouping - Filter and group your experiments by project to quickly find what you’re looking for across large experiment collections
  • Experiment Tags - Tags are now rendered on the experiment page, helping you categorize and identify experiments more easily

✨ UI/UX Improvements

We’ve made several improvements to make your day-to-day workflow smoother.

What’s improved:

  • Time Formatting Settings - Customize how timestamps are displayed throughout the UI to match your preferred format
  • Online Score Rules Defaults - Input and output fields in online score rules are now pre-populated with sensible defaults, reducing setup time
  • Dataset Item Navigation - Navigation tags in the experiment item view now link directly to the associated dataset item for easier data exploration
  • Annotation Queue Review - You can now review completed annotation queues, making it easier to audit and verify your annotation work

🔌 SDK & Integrations

We’ve improved our SDK integrations with better tracing and performance metrics.

What’s improved:

  • Vercel AI SDK Thread Support - Thread ID support for the Vercel AI SDK integration enables better conversation tracking across multi-turn interactions
  • ADK Distributed Tracing - Added distributed trace headers support to the ADK integration for improved observability in distributed systems
  • Time-to-First-Token (TTFT) - The ADK integration now captures TTFT metrics, giving you visibility into response latency for streaming applications

And much more! 👉 See full commit log on GitHub

Releases: 1.9.79, 1.9.80, 1.9.81, 1.9.82, 1.9.83, 1.9.84, 1.9.85, 1.9.86, 1.9.87, 1.9.88, 1.9.89, 1.9.90, 1.9.91, 1.9.92, 1.9.95, 1.9.96, 1.9.97, 1.9.98, 1.9.99, 1.9.100, 1.9.101