[January 27, 2026](/content/docs/opik/changelog/2026/1/27/index.html) 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](/content/docs/opik/v1/agent_optimization/optimization_studio/index.html) ## 📊 Dashboard Improvements We’ve enhanced the dashboard with new widgets and visualization capabilities to help you track and compare experiments more effectively. **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 ## 🎬 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](https://github.com/comet-ml/opik/compare/1.9.78...1.9.101) _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`