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What is Small Hours?

Small Hours operates as an AI-enhanced observability platform that identifies server exceptions, assesses their significance, and routes them to the proper team or individual. By leveraging Markdown or your existing runbook, you can enhance our tool's ability to troubleshoot a variety of issues effectively. Our platform ensures seamless integration with any technology stack through support for OpenTelemetry. You can also link to your current alert systems to quickly identify pressing issues. By connecting your codebases and runbooks, you provide essential context and directives that facilitate smoother operations. Your code and data are kept secure and are never stored, giving you peace of mind. The platform adeptly categorizes problems and can even create pull requests when necessary. It is finely tuned for performance and speed, particularly in enterprise environments. With our continuous automated root cause analysis, you can effectively minimize downtime and enhance operational efficiency, guaranteeing that your systems operate seamlessly at all times. Additionally, the intuitive interface allows users to navigate and utilize the platform with ease, ensuring that teams can respond rapidly to any challenges that arise.

What is Arize Phoenix?

Phoenix is an open-source library designed to improve observability for experimentation, evaluation, and troubleshooting. It enables AI engineers and data scientists to quickly visualize information, evaluate performance, pinpoint problems, and export data for further development. Created by Arize AI, the team behind a prominent AI observability platform, along with a committed group of core contributors, Phoenix integrates effortlessly with OpenTelemetry and OpenInference instrumentation. The main package for Phoenix is called arize-phoenix, which includes a variety of helper packages customized for different requirements. Our semantic layer is crafted to incorporate LLM telemetry within OpenTelemetry, enabling the automatic instrumentation of commonly used packages. This versatile library facilitates tracing for AI applications, providing options for both manual instrumentation and seamless integration with platforms like LlamaIndex, Langchain, and OpenAI. LLM tracing offers a detailed overview of the pathways traversed by requests as they move through the various stages or components of an LLM application, ensuring thorough observability. This functionality is vital for refining AI workflows, boosting efficiency, and ultimately elevating overall system performance while empowering teams to make data-driven decisions.

Media

Media

Integrations Supported

GitHub
OpenTelemetry
Slack
Apache Sentry
Grafana Cloud
Markdown

Integrations Supported

GitHub
OpenTelemetry
Slack
APIFuzzer
Codestral Mamba
Conda
Gemini Enterprise Agent Platform
JupyterLab
LlamaIndex
Ministral 8B
Mistral 7B
Mistral AI
Mistral Large
Mistral NeMo
Mixtral 8x7B
OpenAI

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Small Hours

Company Location

United States

Company Website

www.smallhours.dev/

Company Facts

Organization Name

Arize AI

Company Location

United States

Company Website

docs.arize.com/phoenix

Categories and Features

Root Cause Analysis

Not specified

Telemetry

Not specified

Categories and Features

AI Observability

Not specified

LLM Evaluation

Not specified

Semantic Layer

Not specified

Telemetry

Not specified

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