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features
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support

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Description

Antaeus serves as a semantic policy engine designed for developers tasked with assessing human-written rules related to language, context, intent, or exceptions. It features an open-source core built in Go and a command-line interface that can load policy artifacts in YAML or JSON formats, validating these against versioned schemas while executing named regression tests. The evaluation process yields clear outcomes such as allow, review, deny, or failure, accompanied by policy identification and evidence for the decisions made, while leaving the responsibilities of authentication, authorization, and any consequential actions to the application itself. Developers have the option to operate a deterministic, credential-free local workflow or utilize an experimental hosted dashboard and API for managing policies and evaluating various inputs. Additionally, there is an experimental OpenAI evaluator available for use. It is important to note that Antaeus is still in its early stages; thus, the capacity of the hosted service is limited and does not come with a production-level service level agreement (SLA), which may affect reliability during high-demand situations.

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.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

OpenAI Yes 
Amazon Bedrock No 
Arize AI No 
CoLab No 
Codestral No 
Conda No 
CrewAI No 
Guardrails AI No 
Haystack No 
JavaScript No 
LangChain No 
LlamaIndex No 
Ministral 8B No 
Mistral 7B No 
Mistral Large No 
Mixtral 8x22B No 
OpenTelemetry No 
Pixtral Large No 
Vercel No 

Integrations

OpenAI Yes 
Amazon Bedrock Yes 
Arize AI Yes 
CoLab Yes 
Codestral Yes 
Conda Yes 
CrewAI Yes 
Guardrails AI Yes 
Haystack Yes 
JavaScript Yes 
LangChain Yes 
LlamaIndex Yes 
Ministral 8B Yes 
Mistral 7B Yes 
Mistral Large Yes 
Mixtral 8x22B Yes 
OpenTelemetry Yes 
Pixtral Large Yes 
Vercel Yes 

Pricing Details

Free
The local Go engine is available under the Apache-2.0 license at no charge. Hosted usage includes a shared free allowance of up to 100 completed decisions per day, subject to shared capacity and without a production SLA. Paid usage is available through credit purchases starting at $10; hosted evaluation charges are usage-based.
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux Yes 
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) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
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

Antaeus

Website

antaeus.io

Vendor Details

Company Name

Arize AI

Country

United States

Website

docs.arize.com/phoenix

Product Features

Business Rules Management Systems (BRMS)

Access Control / Permissions No 
Code Development Environment No 
Deploy Across Platforms No 
Flexible Hosting Options No 
Lifecycle Management No 
No Code Development No 
Simulation No 
Validation Tools No 

Alternatives

No Alternatives

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