LogoLogo
AboutBlogLaunch app ↗
v0.23.x
v0.23.x
  • Get Started
  • Overview
  • Getting Access to Distributional
  • Install the Python SDK
  • Quickstart
  • Learning about Distributional
    • Distributional Concepts
    • Why We Test Data Distributions
    • The Flow of Data
  • Using Distributional
    • Projects
    • Runs
      • Reporting Runs
      • Setting a Baseline Run
    • Metrics
    • Tests
      • Creating Tests
        • Using Filters in Tests
        • Available Statistics and Assertions
      • Running Tests
      • Reviewing Tests
        • What Is a Similarity Index?
    • Notifications
    • Access Controls
      • Organization and Namespaces
      • Users and Permissions
      • Tokens
  • Platform
    • Sandbox
    • Self-hosted
      • Architecture
      • Deployment
        • Helm Chart
        • Terraform Module
      • Networking
      • OIDC Authentication
      • Data Security
  • Reference
    • Query Language
      • Functions
    • Python SDK
      • dbnl
      • dbnl.util
      • dbnl.experimental
      • Classes
      • Eval Module
        • Quick Start
        • dbnl.eval
        • dbnl.eval.metrics
        • Application Metric Sets
        • How-To / FAQ
        • LLM-as-judge and Embedding Metrics
        • RAG / Question Answer Example
      • Classes
  • CLI
  • Versions
    • Release Notes
Powered by GitBook

© 2025 Distributional, Inc. All Rights Reserved.

On this page

Was this helpful?

Export as PDF
  1. To Be Deleted
  2. Stages in the AI Software Development Lifecycle

Reviewing Test Sessions and Runs in Distributional

Test sessions provide an opportunity to learn about your app's behavior

Was this helpful?

After you define and execute tests, dbnl creates a Test Session to mark a permanent statement of how your app behaved relative to expectations. You can explore this Test Session, as well as the Runs that were tested, to learn about your app -- both its behavior and about how users interacted with it.

The is available for all tests, including any tests you may have created with . In this section, we highlight key insights that can be gained from the automated Production tests, insights from elsewhere in the Distributional UI, and how you can be notified about your Test Session status in whatever fashion you prefer.

basic review process
expert knowledge