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Phoenix

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Phoenix Arize is an open-source AI observability platform for LLMs.

Ai observability

Trace applications

Evaluate models

Optimize llms

Pre-deployment evaluation

Local troubleshooting

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About Phoenix

Launched Jul 22, 2024

Introduction Video

Description

Phoenix Arize is an open-source AI observability platform for LLMs.

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.

Phoenix Key Features

Performance tracing, dashboards, LLM evaluation library, span-level visibility, prompt playground.

Phoenix Use Cases

Troubleshooting LLM applications, optimizing prompt templates, reducing hallucinations, evaluating RAG relevance, monitoring AI performance.

Pros

Open-source platform, allowing for customization and community support.
Built on OpenTelemetry, ensuring broad compatibility across different vendors, frameworks, and languages.
Provides comprehensive visibility into the workings of LLM applications.
Supports pre-deployment evaluation and troubleshooting, beneficial for early-stage developers.
Can be operated directly from a local machine, enhancing accessibility for developers.

Cons

As an early-stage platform, it might lack some advanced features or have limited integrations compared to more mature solutions.
Potential for technical challenges or bugs, as is common with open-source projects.
May require a steep learning curve for developers not familiar with OpenTelemetry or similar observability tools.