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Description
Phoenix serves as a comprehensive open-source observability toolkit tailored for experimentation, evaluation, and troubleshooting purposes. It empowers AI engineers and data scientists to swiftly visualize their datasets, assess performance metrics, identify problems, and export relevant data for enhancements. Developed by Arize AI, the creators of a leading AI observability platform, alongside a dedicated group of core contributors, Phoenix is compatible with OpenTelemetry and OpenInference instrumentation standards. The primary package is known as arize-phoenix, and several auxiliary packages cater to specialized applications. Furthermore, our semantic layer enhances LLM telemetry within OpenTelemetry, facilitating the automatic instrumentation of widely-used packages. This versatile library supports tracing for AI applications, allowing for both manual instrumentation and seamless integrations with tools like LlamaIndex, Langchain, and OpenAI. By employing LLM tracing, Phoenix meticulously logs the routes taken by requests as they navigate through various stages or components of an LLM application, thus providing a clearer understanding of system performance and potential bottlenecks. Ultimately, Phoenix aims to streamline the development process, enabling users to maximize the efficiency and reliability of their AI solutions.
Description
VeriTrooper meticulously assesses evidence throughout various AI workflows, while SitRep conducts thorough audits of source materials to identify contradictions, outdated versions, duplicates, and any gaps present. Scout rigorously tests AI-generated answers against verified sources, ensuring that the question, response, verdict, and evidence are all documented accurately. Watchtower plays a crucial role in overseeing production responses by either capturing data or conducting scheduled tests to maintain quality.
This software operates directly on the customer's infrastructure, generating findings that can be reviewed and creating portable evidence packages for ease of access. It is important to note that individuals are responsible for interpreting these findings and determining necessary corrections, as the software itself does not provide certification of compliance.
The Evaluation Suite, compatible with Windows, macOS, and Linux, is readily accessible to all who request it, delivered through a manual installation process. Currently, the builds available are pre-release versions. The evaluation period spans 14 days from the initiation of the first genuine audit, allowing for five shared runs with a maximum of 200 evaluated items per run, granting users valuable insights into the software's capabilities and performance.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon Bedrock
Arize AI
CoLab
Codestral
Codestral Mamba
Conda
CrewAI
Databricks
GitHub
JavaScript
Integrations
Amazon Bedrock
Arize AI
CoLab
Codestral
Codestral Mamba
Conda
CrewAI
Databricks
GitHub
JavaScript
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Arize AI
Country
United States
Website
docs.arize.com/phoenix
Vendor Details
Company Name
VeriTrooper
Founded
2026
Website
veritrooper.com