Helicone
Shares tags: analyze, monitoring & evaluation, cost & latency observability
AI Tool
Transform Your AI Evaluation Process
Unlock insights into drift, cost, and latency with Arize Phoenix.
Seamless multi-user collaboration for tailored team experiences.In-depth cost tracking to optimize your model performance economically.Real-time evaluation of Amazon Bedrock models in an intuitive workspace.
Tags
AnalyzeMonitoring & EvaluationCost & Latency Observability
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overview
What is Arize Phoenix?
Arize Phoenix is an open-source evaluation suite that empowers AI engineers and data scientists with powerful tools for monitoring and enhancing large language models (LLMs) and agentic workflows. By surfacing critical drift, cost, and latency issues, Phoenix supports your team's iterative evaluation and optimization efforts.
- Open-source and developer-centric.
- Integrated with model observability.
- Designed for real-world AI production.
features
Key Features
With Phoenix, enjoy a suite of robust features designed to streamline your AI evaluation processes. From collaborative workspaces to comprehensive cost tracking, Phoenix equips you with the tools you need.
- Multi-user collaboration and workspace provisioning.
- Comprehensive cost tracking for models, prompts, and users.
- Enhanced user interface and workflow improvements for an intuitive experience.
use_cases
Use Cases
Arize Phoenix is perfect for teams looking to enhance their AI workflows. Whether you are developing, evaluating, or debugging LLMs, Phoenix provides the insights and tools necessary for success.
- Optimize model performance through cost analysis.
- Debug errors efficiently with advanced error handling.
- Conduct prompt testing directly against Amazon Bedrock models.
Frequently Asked Questions
Who can benefit from using Arize Phoenix?
AI engineers and data scientists building, evaluating, and debugging LLMs and agentic workflows will find Phoenix to be a vital asset in their toolkit.
What kind of cost tracking does Phoenix offer?
Phoenix provides comprehensive cost tracking that allows monitoring of LLM usage and expenses at the model, prompt, and user level, linking spend directly to model performance.
Is there support for Amazon Bedrock in Phoenix?
Yes! Phoenix now supports Amazon Bedrock models, enabling users to test and evaluate prompts directly on Bedrock-hosted models within the Phoenix Playground.