arize-phoenix
@arize-phoenix.bsky.social
Open-Source AI Observability and Evaluation
app.phoenix.arize.com
app.phoenix.arize.com
TypeScript Evals Quickstart: arize.com/docs/phoeni...
November 26, 2025 at 5:00 PM
TypeScript Evals Quickstart: arize.com/docs/phoeni...
Full Video: youtu.be/yK_b8PNqlRY
Harnessing Splits in your Dataset with Arize Phoenix
YouTube video by Arize AI
youtu.be
November 25, 2025 at 7:39 PM
Full Video: youtu.be/yK_b8PNqlRY
Check out our Live Demos here: arize.com/docs/phoeni...
Cookbooks | Arize Phoenix
Cookbooks & tutorials to help you build with Phoenix
arize.com
November 20, 2025 at 3:25 PM
Check out our Live Demos here: arize.com/docs/phoeni...
From there, dive deep into how agent frameworks actually work: inspect decisions, compare paths, and understand the flow end-to-end. Every conversation is saved as a session so you can see the complete story.
All it takes is your Phoenix Cloud credentials for a fully hands-on learning experience.
All it takes is your Phoenix Cloud credentials for a fully hands-on learning experience.
November 20, 2025 at 3:25 PM
From there, dive deep into how agent frameworks actually work: inspect decisions, compare paths, and understand the flow end-to-end. Every conversation is saved as a session so you can see the complete story.
All it takes is your Phoenix Cloud credentials for a fully hands-on learning experience.
All it takes is your Phoenix Cloud credentials for a fully hands-on learning experience.
In this video, @srichavali.bsky.social walks through:
⚪️ Creating & tracing a Mastra agent
⚪️ Defining and running 2 TS-based evaluators
⚪️ Writing eval results back as Span Annotations in Phoenix
Full Video walkthrough + Code Example below 👇
⚪️ Creating & tracing a Mastra agent
⚪️ Defining and running 2 TS-based evaluators
⚪️ Writing eval results back as Span Annotations in Phoenix
Full Video walkthrough + Code Example below 👇
November 13, 2025 at 7:21 PM
In this video, @srichavali.bsky.social walks through:
⚪️ Creating & tracing a Mastra agent
⚪️ Defining and running 2 TS-based evaluators
⚪️ Writing eval results back as Span Annotations in Phoenix
Full Video walkthrough + Code Example below 👇
⚪️ Creating & tracing a Mastra agent
⚪️ Defining and running 2 TS-based evaluators
⚪️ Writing eval results back as Span Annotations in Phoenix
Full Video walkthrough + Code Example below 👇
So what can you do when an execution can change from one run to the next? That's where repetitions come in. Repetitions help you reduce uncertainty in systems prone to variability, notably more "agentic" systems.
arize.com/docs/phoenix...
arize.com/docs/phoenix...
Repetitions | Arize Phoenix
How to leverage repetitions to get an understanding of indeterminate LLM outputs
arize.com
September 26, 2025 at 11:50 PM
So what can you do when an execution can change from one run to the next? That's where repetitions come in. Repetitions help you reduce uncertainty in systems prone to variability, notably more "agentic" systems.
arize.com/docs/phoenix...
arize.com/docs/phoenix...
Reposted by arize-phoenix
Arize AI
app.arize.com
June 27, 2025 at 10:34 PM
Reposted by arize-phoenix
Reposted by arize-phoenix
Check out the full video: youtu.be/iOGu7-HYm6s?...
Tracing and Evaluating OpenAI Agents
YouTube video by Arize AI
youtu.be
April 18, 2025 at 6:51 PM
Check out the full video: youtu.be/iOGu7-HYm6s?...