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Progress Agent Engineering

An observability platform for AI agents and LLM applications, supporting behavior tracking, failure debugging, cost control, and quality evaluation.

freemium
Last Updated 9/19/2026

About Progress Agent Engineering

Progress Agent Engineering is an AI observability platform from Progress Telerik, built for professional teams that develop and run AI applications. The execution paths of AI agents, LLM applications, RAG systems, and copilots are not simple request-response patterns: the platform connects the various signals in the production loop to deliver behavior tracking, failure debugging, cost control, and quality evaluation across real production workflows, helping teams see where workflows break, what they cost, and whether outputs meet the bar for release. The platform captures trace-level data such as prompts, responses, model calls, retrieval steps, tool calls, latency, and cost signals; teams control what gets logged and stored, and can restrict, mask, or exclude sensitive data.

Best for

Professional teams that build and run AI applications
Development teams using .NET, Python, and JavaScript
Developers testing early AI agent prototypes
Small teams deploying their first production AI agent

Best use cases

Track the execution behavior of AI agents and LLM applications in production

Debug failures in real production workflows

Monitor and control token usage and spending

Evaluate AI output quality to decide whether it is ready for release

Features

End-to-end behavior tracking

Connects the various signals in the production loop to track how AI agents, LLM applications, RAG systems, and copilots behave in real production workflows.

Failure debugging

Pinpoints the failing steps in real production workflows, showing where workflows break and where costs go.

Cost control

Collects data such as latency, token usage, and cost signals to help teams keep spending under control.

Quality evaluation

Assesses output quality in real production workflows to judge whether outputs are ready for release.

Pros

  • Consolidates behavior tracking, failure debugging, cost control, and quality evaluation in a single platform
  • Offers a $0 free-forever tier, making it easy for developers to validate early agent prototypes
  • Logging is controllable, with support for restricting, masking, or excluding sensitive data
  • Serves .NET, Python, and JavaScript teams alike

Cons

  • Data retention is limited to 7 days on the free tier and 30 days on the Starter tier

Pricing Plans

Free Forever

$0month
  • Includes 10,000 units
  • Retention: 7 days

Starter

$ 29month
  • Includes 200,000 units
  • Retention: 30 days
  • $8 USD per additional 100K units

* Pricing information is for reference only. Please refer to the latest announcement on Progress Agent Engineering's official website.

FAQ

The official website offers a Free Forever tier that is free forever at $0/month, including 10,000 units with 7-day data retention, suitable for developers testing early agent prototypes.
The platform collects trace-level data on AI agents and LLM applications, including prompts, responses, model calls, retrieval steps, tool calls, metadata, latency, token usage, cost signals, and execution context. Teams control what is logged and stored, and can restrict, mask, or exclude sensitive data.

Tool Information

DeveloperProgress Agent Engineering
Release Date9/19/2026
Pricingfreemium