# Arize Release Notes: Embeddings Tracing, Experiments Details, and More. - **Published:** 2024-10-03 - **Updated:** 2026-07-31 - **Authors:** Sarah Welsh - **Canonical:** --- ![Release Notes October 3, 2024](https://arize.com/wp-content/uploads/2024/10/Release-notes-10-3.jpg) Welcome to our regular update on new releases, enhancements, and changes. ## What’s New ## Embeddings Tracing With Embeddings Tracing, you can effortlessly select embedding spans and dive straight into the UMAP visualizer, simplifying troubleshooting for your genAI applications. How this works: - Users can now select embedding spans and go to the embedding visualizer (also available on project level nav for all generative models) - All embedding spans get pulled over for UMAP + clustering - Users can select an individual point/cluster and the embedding span attributes get pulled over - “Color by” span attributes is also available, and whichever attribute users “color by” can also be viewed as a column in the table *Note: this functionality is only viewable for embedding spans after October 2, 2024.* [Learn more about our embeddings visualizer here](https://docs.arize.com/arize/computer-vision-cv/how-to-cv/embedding-and-cluster-analyzer). [View video](https://arize.com/wp-content/uploads/2024/10/Embeddings-Tracing.mp4?_=1) https://arize.com/wp-content/uploads/2024/10/Embeddings-Tracing.mp4 ## Experiments Details Visualization Users can now view a detailed breakdown of labels for their experiments on the Experiments Details page. Note: this feature is currently only available for label-based evaluations. Support for score-exclusive evaluations will be coming in a future update. ![Compare Experiments](https://arize.com/wp-content/uploads/2024/10/Compare-Experiments.avif)Experiments Details Visualization ## Enhancements ### Prompt Playground Improvements - **Full OpenAI Models Support:** We’ve added full support for all available OpenAI models in the playground including the o1-mini and o1-preview. - **OpenAI Function/Tool Calls:** With OpenAI’s addition of function calling in their models, we have added support in Arize starting from the trace all the way to the playground. View function/tool calls in your traces, and open the playground to further experiment and test. - **Full-screen Data Mode:** Enter full screen mode to view your data more easily. - **Features For Datasets:** - **Prompt Overriding:** When using a dataset to test out different prompts, users can now replace the prompt template with the dataset. - **Pop Up Windows for Long Outputs & Variables:** Viewing longer outputs is now easier with pop up windows. Along with these features, we’ve added improvements such as better input variable behavior, autocompletion enhancements, support for mustache/f-string input variables, and more. ![prompt playground](https://arize.com/wp-content/uploads/2024/10/Playground-1024x1024.png) ## Filters Updates - **Filter History:** We now store the last three filters used by a user! Users can easily access their filter history in the query filters dropdown, making it simpler to reuse filters for future queries. ## ![filter history ](https://arize.com/wp-content/uploads/2024/10/Filter-histroy-1024x424.png)Traces Page Updates - **Parent Spans:** We’ve enhanced the Traces page to give users a better experience when filtering spans. Now, even if the filter doesn’t match the parent span, users will still see the the parent span with the relevant spans nested under it. - **Quick Filters:** We’ve introduced quick filters, allowing users to apply filters directly from the table by hovering over the text to reveal the filter icon. ![Spans](https://arize.com/wp-content/uploads/2024/10/Spans.png) ## New Arize-Otel Package for LLM App Tracing We heard you, and we made it much simpler to add automatic tracing to your applications! It’s now just a few lines of code to use OpenTelemetry to trace your LLM application. [Check out our new quickstart guide which uses our arize-otel package](https://docs.arize.com/arize/llm-tracing/quickstart-llm). ## Workflow Improvements - Support for new line creation while reviewing prompts. - Easily add spans to a dataset from the Traces page using the “Add to Dataset” button. - Quickly create an evaluation task within a trace if no evaluations currently exist using the “Setup Task” button. ![trace details](https://arize.com/wp-content/uploads/2024/10/Trace-details.png) ## 📚 New Content The latest video tutorials, paper readings, ebooks, self-guided learning modules, and technical posts: 🧑‍⚖️ [Selecting the Right Model for LLM-as-a-Judge Evaluations](https://arize.com/blog/choosing-the-best-llm-evaluation-model/) 🤖 [Leveraging Agent Evaluation and Memory to Build Robust Agentic Systems ](https://arize.com/blog/arize-ai-mongodb-agentic-systems/) 🔭 [Exploring OpenAI’s o1 Models ](https://arize.com/blog/exploring-openai-o1-preview-and-o1-mini/) 🪞[Breaking Down Reflection Tuning](https://arize.com/blog/breaking-down-reflection-tuning-enhancing-llm-performance-with-self-learning/) --- [More blog posts](https://arize.com/blog/sitemap.md)