Progress AI Observability provides tools to trace workflows, debug agent failures, control costs, and evaluate the quality of AI outputs in production environments.
Why it matters
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overview
Progress AI Observability is an AI observability tool developed by Progress that enables professional teams building and running AI-powered applications to trace workflows, debug agent failures, control costs, and evaluate the quality of AI outputs in production environments. It is designed for teams using .NET, Python, and JavaScript/TypeScript, providing comprehensive visibility into the complex, non-deterministic behavior of AI systems.
features
Progress AI Observability offers a suite of features designed to provide full visibility into AI agents and LLM-powered applications, enabling confident AI feature releases and continuous improvement.
use cases
Progress AI Observability is primarily targeted at professional teams, engineering teams, and developers working with AI-powered applications, especially those leveraging Large Language Models (LLMs) and AI agents in production environments.
how to use
To begin using Progress AI Observability, developers can integrate the platform's SDKs into their .NET, Python, or JavaScript/TypeScript AI applications. The platform then automatically captures trace-level data for monitoring and analysis.
pricing
Progress AI Observability operates on a freemium model, offering a free tier and several paid subscription plans tailored to different usage levels and organizational needs. All plans include usage pricing for additional units beyond the base allowance.
Similar Tools
Progress AI Observability competes in the growing market of AI observability tools, differentiating itself through native .NET support, first-class Semantic Kernel integration, and enterprise-grade compliance features.
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