Arize Release Notes: Monitor Runtime, Create a Dataset from CSV, and More

Enhancements

Monitor Runtime

Users can now schedule when monitors run. Users can configure their monitors to run:

• Hourly & Daily: Select specific days of the week.
• Daily, Weekly & Monthly: Runs at 12 AM UTC after creation.
• Default Behavior: Monitors will continue running every 3 hours, 7 days a week unless configured otherwise.

Column Specification With Exporting Data

Users can now export only the columns they care about for large datasets, reducing SDK export time by up to 95%.

• Specify which columns of data you’d like to export when exporting data via the ArizeExportClient
• When using the export_model_to_df function, users can specify the columns parameter to only export specific columns.

Create a Dataset from CSV

Users can now upload CSVs as a dataset in Arize. Columns in the file will be attributes that users can access in Experiments or in Prompt Playground. Learn more here.

Monitor Improvements

We’ve made some updates to make monitors more organized, searchable, and user-friendly. Here’s what’s new:

• Cardless Design – A sleek, modern table view for better readability.
• Project-Level Monitors – LLM and ML monitors now have separate tabs.
• Search & Sort – Find monitors by name or dimension, plus sort by any column.
• Summary Stats – See how many monitors triggered in the last 24 hours
• New LLM Monitor Types – Clearer categories:
  • Custom Metric Monitor → Performance Monitor with a custom metric preselected.
  • Span Property Monitor → Data Quality Monitor for span properties.
  • Evaluation Monitor → Data Quality Monitor for evaluations.
  • Quick Monitor for Errors – Easily enable error count monitoring (count, status_code = ERROR).

OTEL Tracing Via HTTP

We’ve added support for HTTP protocol when sending traces to Arize through an OTEL tracer.

To use: Specify /v1/traces as the endpoint and Transport.HTTP as the transport in our register helper

// tracer_provider = register(
    endpoint="https://otlp.arize.com/v1/traces",     # NEW
    transport=Transport.HTTP,                        # NEW
    space_id=SPACE_ID,
    api_key=API_KEY
    project_name="test-project-http",
)

📚 New Content

The latest video tutorials, paper readings, ebooks, self-guided learning modules, and technical posts:

💯 How 100X AI Uses Phoenix to Supercharge AI-Driven Troubleshooting
🤖 Understanding Agentic RAG
⚙️ Multiagent Finetuning: A Conversation with Researcher Yilun Du