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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
Kanvo offers a seamless JavaScript SDK that enhances LangGraph-based AI agents with integrated memory, observability, and resilience, all without the need for any infrastructure setup. The SDK allows developers to integrate just a few lines of code to activate features such as persistent memory for storing facts, preferences, and goals, as well as threaded conversations for multi-user engagement and real-time monitoring of agent activities, which records every interaction, tool usage, and LLM output. Its innovative time-travel debugging capabilities enable users to checkpoint, rewind, and restore any agent's run state with ease, ensuring that workflows are easily reproducible and errors can be swiftly identified. Built with an emphasis on efficiency and user-friendliness, Convo's streamlined interface paired with its MIT-licensed SDK provides developers with production-ready, easily debuggable agents straight from installation, while also ensuring that data control remains entirely with the users. This combination of features positions Kanvo as a powerful tool for developers looking to create sophisticated AI applications without the typical complexities associated with data management.
API Access
Has API
API Access
Has API
Integrations
JavaScript
Arize AI
CoLab
Codestral Mamba
Databricks
Gemini Enterprise Agent Platform
GitHub
Guardrails AI
LangChain
Le Chat
Integrations
JavaScript
Arize AI
CoLab
Codestral Mamba
Databricks
Gemini Enterprise Agent Platform
GitHub
Guardrails AI
LangChain
Le Chat
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$29 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Arize AI
Country
United States
Website
docs.arize.com/phoenix
Vendor Details
Company Name
Convo
Country
United States
Website
convo.diy/