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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

Fluq serves as an observability and orchestration platform for AI agents, providing teams with comprehensive real-time visibility and control over their operations. It functions as an integrated “single pane of glass” that meticulously tracks and visualizes every action performed by agents, including LLM calls, tool usage, file handling, token expenditure, and related costs through intricate waterfall traces. By utilizing a lightweight proxy to manage all agent requests, Fluq ensures minimal setup requirements and is compatible with any LLM provider or agent framework, facilitating seamless integration into existing systems without the need for code modifications. This platform empowers teams to analyze every decision made by an agent, investigate execution steps, and gain a clear understanding of how outcomes are derived, thereby enhancing transparency and ease of debugging. Furthermore, it incorporates governance capabilities such as policy enforcement, spending limits, approval gates, and access controls, which help mitigate risks like excessive costs, misuse of tools, and generation of incorrect outputs. Through these robust features, Fluq not only improves operational oversight but also fosters trust in AI systems by ensuring responsible usage and accountability.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

CrewAI Yes 
LangChain Yes 
OpenAI Yes 
Amazon Bedrock Yes 
Anthropic No 
Arize AI Yes 
Claude No 
CoLab Yes 
Codex CLI No 
Gemini Enterprise Agent Platform Yes 
Guardrails AI Yes 
LlamaIndex Yes 
Mathstral Yes 
Mistral 7B Yes 
Mistral NeMo Yes 
Mixtral 8x22B Yes 
Mixtral 8x7B Yes 
OpenTelemetry Yes 
Pixtral Large Yes 
Python Yes 

Integrations

CrewAI Yes 
LangChain Yes 
OpenAI Yes 
Amazon Bedrock No 
Anthropic Yes 
Arize AI No 
Claude Yes 
CoLab No 
Codex CLI Yes 
Gemini Enterprise Agent Platform No 
Guardrails AI No 
LlamaIndex No 
Mathstral No 
Mistral 7B No 
Mistral NeMo No 
Mixtral 8x22B No 
Mixtral 8x7B No 
OpenTelemetry No 
Pixtral Large No 
Python No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

$29 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Arize AI

Country

United States

Website

docs.arize.com/phoenix

Vendor Details

Company Name

Fluq

Country

United States

Website

fluq.ai/

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