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ease
features
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support

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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

Netra serves as a robust platform designed for AI agents to monitor, assess, simulate, and enhance the decisions made by these agents, allowing for confident deployments and proactive identification of regressions prior to user exposure. Key Features 1. Observability: Comprehensive tracing capabilities that capture every step of multi-agent, multi-step, and multi-tool processes, detailing inputs, outputs, timings, and costs for each reasoning step, LLM invocation, and tool use. 2. Evaluation: Automated quality assessment for each agent decision, utilizing integrated scoring rubrics, custom evaluations with LLMs and code reviewers, online assessments using live traffic, and continuous integration gates to prevent regressions. 3. Simulation: Evaluate agents under the stress of thousands of both real and synthetic scenarios before they go live. This includes using varied personas, conducting A/B tests against baseline performances, and quantifying confidence levels prior to any user interaction. 4. Prompt Management: Each prompt is versioned, compared, tracked for lineage, and safeguarded against rollbacks, ensuring that every production response can be traced back to its precise prompt version, thereby enhancing accountability and control. In this way, Netra equips developers with the tools necessary to ensure the reliability and effectiveness of their AI systems.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

Arize AI
CoLab
Codestral
CrewAI
Databricks
Gemini Enterprise Agent Platform
GitHub
Haystack
JavaScript
JupyterLab
Le Chat
LlamaIndex
Mathstral
Ministral 3B
Mistral 7B
Mistral NeMo
Mistral Small
Mixtral 8x7B
OpenTelemetry
Python

Integrations

Arize AI
CoLab
Codestral
CrewAI
Databricks
Gemini Enterprise Agent Platform
GitHub
Haystack
JavaScript
JupyterLab
Le Chat
LlamaIndex
Mathstral
Ministral 3B
Mistral 7B
Mistral NeMo
Mistral Small
Mixtral 8x7B
OpenTelemetry
Python

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$39/month
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

Netra

Founded

2025

Website

getnetra.ai/

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