# December 9, 2025

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

## 📊 Dataset Improvements

We’ve enhanced dataset functionality with several key improvements:

- **Edit Dataset Items** - You can now edit dataset items directly from the UI, making it easier to update and refine your evaluation data.
- **Remove Dataset Upload Limit for Self-Hosted** - Self-hosted deployments no longer have dataset upload limits, giving you more flexibility for large-scale evaluations.
- **Dataset Item Tagging Support** - Added comprehensive tagging support for dataset items, enabling better organization and filtering of your evaluation data.
- **Dataset Filtering Capabilities by Any Column** - Filter datasets by any column in both the playground and dataset view, giving you flexible ways to find and work with specific data subsets.
- **Ability to Rename Datasets** - Rename datasets directly from the UI, making it easier to organize and manage your evaluation datasets.

## 📈 Experiment Updates

We’ve made significant improvements to experiment management and analysis:

- **Experiment-Level Metrics** - Compute experiment-level metrics (as opposed to experiment-item-level metrics) for better insights into your evaluation results. Read more in the [experiment-level metrics documentation](/content/docs/opik/v1/evaluation/evaluate_your_llm#computing-experiment-level-metrics/index.html).
- **Rename Experiments & Metadata** - Update experiment names and metadata config directly from the dashboard, giving you more control over experiment organization.
- **Token & Cost Columns** - Token usage and cost are now surfaced in the experiment items table for easy scanning and cost visibility.

## 🎮 Playground Improvements

We’ve made the Playground more powerful and easier to use for non-technical users:

- **Easy Navigation from Playground to Dataset and Metrics** - Quick navigation links from the playground to related datasets and metrics, streamlining your workflow.
- **Advanced filtering for Playground Datasets** - Filter playground datasets by tags and any other columns, making it easier to find and work with specific dataset items.
- **Pagination for the Playground** - Added pagination support to handle large datasets more efficiently in the playground.
- **Added Experiment Progress Bar in the Playground** - Visual progress indicators for running experiments, giving you real-time feedback on experiment status.
- **Added Model-Specific Throttling and Concurrency Configs in the Playground** - Configure throttling and concurrency settings per model in the playground, giving you fine-grained control over resource usage.

## 🚨 Enhanced Alerts

We’ve expanded alert capabilities with threshold support:

- **Added Threshold Support for Trace and Thread Feedback Scores** - Configure thresholds for feedback scores on traces and threads, enabling more precise alerting based on quality metrics.
- **Added Threshold to Trace Error Alerts** - Set thresholds for trace error alerts to get notified only when error rates exceed your configured limits.
- **Trigger Experiment Created Alert from the Playground** - Receive alerts when experiments are created directly from the playground.

## 🤖 Opik Optimizer Updates

Significant enhancements to the Opik Optimizer:

- **Cost and Latency Optimization Support** - Added support for optimizing both cost and latency metrics simultaneously. Read more in the [optimization metrics documentation](/content/docs/opik/v1/agent_optimization/optimization/define_metrics#include-cost-and-duration-metrics/index.html).
- **Training and Validation Dataset Support** - Introduced support for training and validation dataset splits, enabling better optimization workflows. Learn more in the [dataset documentation](/content/docs/opik/v1/agent_optimization/optimization/define_datasets#trainvalidation-splits/index.html).
- **Example Scripts for Microsoft Agents and CrewAI** - New example scripts demonstrating how to use Opik Optimizer with popular LLM frameworks. Check out the [example scripts](https://github.com/comet-ml/opik/tree/main/sdks/opik_optimizer/scripts/llm_frameworks).
- **UI Enhancements and Optimizer Improvements** - Several UI enhancements and various improvements to Few Shot, MetaPrompt, and GEPA optimizers for better usability and performance.

## 🎨 User Experience Enhancements

Improved usability across the platform:

- **Added `has_tool_spans` Field to Show Tool Calls in Thread View** - Tool calls are now visible in thread views, providing better visibility into agent tool usage.
- **Added Export Capability (JSON/CSV) Directly from Trace, Thread, and Span Detail Views** - Export data directly from detail views in JSON or CSV format, making it easier to analyze and share your observability data.

## 🤖 New Models!

Expanded model support:

- **Added Support for Gemini 3 Pro, GPT 5.1, OpenRouter Models** - Added support for the latest model versions including Gemini 3 Pro, GPT 5.1, and OpenRouter models, giving you access to the newest AI capabilities.

And much more! 👉 [See full commit log on GitHub](https://github.com/comet-ml/opik/compare/1.9.17...1.9.40)

_Releases_: `1.9.18`, `1.9.19`, `1.9.20`, `1.9.21`, `1.9.22`, `1.9.23`, `1.9.25`, `1.9.26`, `1.9.27`, `1.9.28`, `1.9.29`, `1.9.31`, `1.9.32`, `1.9.33`, `1.9.34`, `1.9.35`, `1.9.36`, `1.9.37`, `1.9.38`, `1.9.39`, `1.9.40`