05.10.2024
New Releases, Enhancements, + Changes
Last updated
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New Releases, Enhancements, + Changes
Last updated
Was this helpful?
Sessions
A session is a grouping of traces based on a session ID attribute. When building or debugging a chatbot application, being able to see groups of messages or traces belonging to a series of interactions between a human and the AI can be particularly helpful. By adding session.id and user.id as attributes to spans, you can:
Find exactly where a conversation "breaks" or goes off the rails. This can help identify if a user becomes progressively more frustrated or if a chatbot is not helpful.
Find groups of traces where your application is not performing well. Adding session.id and/or user.id from an application enables back-and-forth interactions to be grouped and filtered further.
Construct custom metrics based on evals using session.id or user.id to find best/worst performing sessions and users.
OpenAI GPT-4o Support
Test out the newest model from OpenAI, GPT-4o, now available in Prompt Playground in Arize. With vision / image support, prompt template logging, and tracing you can monitor and iterate on your LLM applications using GPT-4.
Join Evals on Existing Traces
Send in latent evals through our Python SDK. They will be joined daily on spans with matching span_ids. The functionality is very similar to that of latent actuals or tags, but with Evals.
Send in your evaluations through the new log_evaluations method in the new Python SDK v7.16.1.
Programmatically Create Dashboards
Replicate a particular set of widgets across various dashboards, clone an entire dashboard, or integrate dashboard creation into your automated onboarding workflows with more ease. Learn more ->
Homepage Refresh
Designed to streamline your workflow, so you can hop right into tracking and troubleshooting your projects.
Python SDK v.7.17.0
Add session.id and user.id to spans batch logging
Send Arize schema as part of the request body
Learn about Python SDK fixes and improvements here.
The latest paper readings, ebooks, self-guided learning modules, and technical posts:
Four tips on how to read AI research papers effectively
LLM Time Series: Research on Performance of GPT-4 and Claude 3 At Time Series Analysis
