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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

Overmind serves as a comprehensive platform for the training and deployment of AI agents, catering specifically to teams engaged in this field. It processes production traces via OpenTelemetry, generating datasets from various sources including trace data, file uploads, and integrations with Langfuse, LangSmith, Braintrust, and Galileo. Teams have the capability to analyze agent context and performance in real-time, prepare and assess datasets, and test prompts and models against their tailored examples, all while refining agent behavior through evaluated modifications. The platform facilitates both LoRA and complete fine-tuning of open-weight models, offering benchmarking with custom evaluators and deployment through an OpenAI-compatible endpoint; additionally, users have the option to download trained weights. Furthermore, users can opt to engage with the hosted console or deploy the platform within their own infrastructure using Docker Compose. Designed for AI engineering and product teams managing agents in live environments, Overmind empowers users to effectively experiment, enhance, and customize models with their proprietary data for optimized outcomes. This flexibility ensures that teams can adapt their workflows according to their specific needs and preferences.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Bedrock Yes 
Braintrust No 
Codestral Yes 
Cursor No 
Databricks Yes 
Galileo No 
Guardrails AI Yes 
JavaScript Yes 
JupyterLab Yes 
Langfuse No 
Mathstral Yes 
Ministral 3B Yes 
Ministral 8B Yes 
Mistral NeMo Yes 
Mixtral 8x22B Yes 
Mixtral 8x7B Yes 
Model Context Protocol (MCP) No 
Pixtral Large Yes 
Python Yes 
Vercel Yes 

Integrations

Amazon Bedrock No 
Braintrust Yes 
Codestral No 
Cursor Yes 
Databricks No 
Galileo Yes 
Guardrails AI No 
JavaScript No 
JupyterLab No 
Langfuse Yes 
Mathstral No 
Ministral 3B No 
Ministral 8B No 
Mistral NeMo No 
Mixtral 8x22B No 
Mixtral 8x7B No 
Model Context Protocol (MCP) Yes 
Pixtral Large No 
Python No 
Vercel No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free plan: $0/month, with fair-use OTLP ingest, up to 10 optimization runs, 5 evaluation runs, 2 training jobs, and 2 deployment jobs per month, plus 5 projects and a $40 one-time credit. Pro: $120/month with higher limits, unlimited projects, optimization runs, evaluation runs, training jobs, and deployment jobs. Enterprise pricing is custom.
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 Yes 
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 No 

Types of Training

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

Types of Training

Training Docs No 
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

Overmind

Founded

2025

Country

United Kingdom

Website

www.overmindlab.ai

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