Complete design system overhaul, Snowflake Integration
This month, we’re excited to unveil our brand new UI! We’ve defined an improved design system, including updated and thoughtfully-crafted styles and components to give the product a fresh, engaging look and feel. The new design system supports both light and dark modes, so be sure to check out both and find the one that suits you.
With the new look, we’ve made a number of other experience improvements, including adding priority levels for tests, improving the navigation and information hierarchy, and adding more data visualizations throughout the product.
We can’t wait for you to try it out and hear your thoughts.
Features
- UI/UX. Brand new UI that's faster, slicker and more enjoyable to use
- SDKs. Support tracing Bedrock models
- SDKs. Support tracing OpenAI Agents
- SDKs. Support tracing Pydantic AI systems
- SDKs. Support tracing LangGraph systems
- Security. New "Member restricted" role, which can perform member actions without viewing data source data
- Integrations. Directly connect Snowflake tables to projects
- UI/UX. View project, datasets and table dropdowns when connecting BigQuery tables
- Platform. Allow hosting Openlayer on subpaths in on-prem deployments
- Platform. Allow users to override LLM costs with custom costs
- Evals. Include standard deviation score in LLM-as-a-judge and Ragas test results
- Evals. New prompt injection test to detect adversarial attacks on LLM systems
Improvements
- Platform. Rename "inference pipelines" to "data sources" to capture broader scope
- Platform. Better skipped test messages for metrics that require ground truths
- API. Speed up endpoints that return record counts and last record date for data sources
- Evals. Show per-row scores for metrics like semantic similarity, exact match in data tables
Fixes
- Evals. Tests that use both historical data and auto thresholds were erroring
- API. Speed up data source creation request
- Platform. Re-run tests that are stuck in running state
- API. Allow streaming data with numpy arrays in the body
