Arize Phoenix

Arize Phoenix

Arize AI
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About

Phoenix is an open-source observability library designed for experimentation, evaluation, and troubleshooting. It allows AI engineers and data scientists to quickly visualize their data, evaluate performance, track down issues, and export data to improve. Phoenix is built by Arize AI, the company behind the industry-leading AI observability platform, and a set of core contributors. Phoenix works with OpenTelemetry and OpenInference instrumentation. The main Phoenix package is arize-phoenix. We offer several helper packages for specific use cases. Our semantic layer is to add LLM telemetry to OpenTelemetry. Automatically instrumenting popular packages. Phoenix's open-source library supports tracing for AI applications, via manual instrumentation or through integrations with LlamaIndex, Langchain, OpenAI, and others. LLM tracing records the paths taken by requests as they propagate through multiple steps or components of an LLM application.

About

Kayba makes AI agents self-improve from experience. It learns from an agent’s execution traces to detect failures, fix them, and measure whether the fix actually worked. Instead of relying on generic evals that cannot explain why an agent failed, Kayba derives failure modes from the agent’s own traces and builds custom benchmarks for the user’s domain, so teams can measure improvement against real production failure patterns. Kayba wires tracing into an agent with one line of setup, watches it around the clock, and flags the moment a step stops being recorded. Even good tracing rots as teams ship changes, and steps can quietly stop being captured; Kayba checks the tracing users already have, shows exactly what is broken, points to the file that needs attention, and sends the gap to a coding agent through MCP. The coding agent patches the issue, and Kayba verifies that the trace is actually closed.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI engineers seeking a tool to enhance the observability and performance of their AI and LLM applications

Audience

AI platform teams running production agents that need trace-based failure detection, custom evals, automated fixes, and measurable self-improvement

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Arize AI
United States
docs.arize.com/phoenix

Company Information

Kayba
Founded: 2025
United States
kayba.ai/

Alternatives

Alternatives

Opik

Opik

Comet
Logfire

Logfire

Pydantic
Traccia

Traccia

Algen AI

Categories

Categories

Integrations

APIFuzzer
Arize AI
CoLab
Codestral
Conda
Databricks
Guardrails AI
Haystack
JavaScript
LangChain
Ministral 3B
Ministral 8B
Mistral AI
Mistral Large
Mistral NeMo
Mistral Small
Mixtral 8x22B
OpenAI
Python

Integrations

APIFuzzer
Arize AI
CoLab
Codestral
Conda
Databricks
Guardrails AI
Haystack
JavaScript
LangChain
Ministral 3B
Ministral 8B
Mistral AI
Mistral Large
Mistral NeMo
Mistral Small
Mixtral 8x22B
OpenAI
Python
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