Phoenix
phoenix.arize.com
Phoenix Arize is an open-source AI observability platform for LLMs.
Description
Trace the Exponential · Arize Phoenix: Open Source AI Development Platform · AI Engineers & Fortune 500 alike · A systematic way to improve AI quality · Built by Engineers for builders like you. · Trusted by Builders
Phoenix Arize is an open-source AI observability platform designed to trace, evaluate, and optimize language model (LLM) applications. Built on OpenTelemetry, it is vendor, framework, and language agnostic, providing flexibility and comprehensive visibility into the inner workings of AI applications. It supports pre-deployment evaluation and troubleshooting directly from a local machine, making it ideal for early-stage developers.
Features
Performance tracing, dashboards, LLM evaluation library, span-level visibility, prompt playground.
Use cases
Troubleshooting LLM applications, optimizing prompt templates, reducing hallucinations, evaluating RAG relevance, monitoring AI performance.
FAQ
Phoenix AI is a customer service platform powered by artificial intelligence that automates conversations, responses, and customer support tasks. It combines natural language understanding with task automation to respond to inquiries, take action, and summarize conversations.
Phoenix AI includes automated dialogues that suggest AI-generated responses, task execution capabilities that create and update support tickets from chat interactions, action item summaries after each engagement, fast bot setup in seconds, custom workflows through API integrations, and supervised human review to ensure quality responses.
Customer support teams automating FAQs, e-commerce platforms providing 24/7 support, SaaS businesses automating support workflows, startups and SMBs scaling support without hiring, and enterprises managing multiple customer interaction channels can all benefit from Phoenix AI.
The advantages of Phoenix AI include reducing manual customer response time, multi-platform compatibility, faster time-to-market, human-in-the-loop monitoring, and the ability to scale support without additional hiring. The disadvantages include requiring domain-specific training, developer time for unique integrations, occasional context-related AI errors, some features being limited to low-tier plans, and performance depending on training data quality.
PhoenixAI is a chat interface built on Microsoft's Azure platform using OpenAI's GPT models. As of October 14, 2025, users can choose between three models: GPT-5.0, GPT-4.1, and o3.
PhoenixAI offers GPT-5.0, GPT-4.1, and o3 models, with Assistants only available with the GPT-4.1 model. Users can create and share custom Assistants as of November 2024.
Each PhoenixAI session remains active for 1 hour with a 30-minute idle timeout. If you're inactive for over 30 minutes, your session automatically ends and you'll need to refresh or start a new session.
Data submitted to PhoenixAI is kept within the UChicago environment and not shared with third-party vendors or used to train AI models. You can choose to have PhoenixAI retain or delete your prompt data after each session.
Assistants are shareable AI tools designed to handle unstructured data and text-based inputs. They use Retrieval Augmented Generation (RAG) to search uploaded files for relevant information. You can upload up to 10 files at once (maximum 100 files per Assistant), with a 20MB limit per file and 3,000 character limit for instructions.
No, Assistants do not learn from your prompts, uploaded files, or any of your data, maintaining your privacy and data security.
Specs
| Type | Agent |
| Section | Data & analytics |
| Pricing | has a free tier (от $50/mo) |
| Platform | Command line |
| Systems | cli, api, web |
| Who for | Individual |
| Site language | en |
| Rating | 0.00 (0 reviews) |
| Views | 324 |
| Launched | 2024-07-22 |
