Promptetheus
Promptetheus enables effective incident management for AI agent workflows.
Open SourceCoding & Dev
Visit website Free to browse · updated 2026-06-22
What is Promptetheus?
Promptetheus focuses on handling failures in AI agent operations by logging key events including actions, state changes, and tool interactions. This allows teams to isolate problematic steps in production runs and generate evidence-based insights without requiring extensive manual review of logs. By replaying specific incidents and attaching relevant artifacts like snapshots or traces, the system supports the creation of fix packages that can be applied to coding agents. It emphasizes observable moments in workflows to maintain reliability across different agent types. The approach integrates observation decorators into agent code to streamline data collection and supports queuing regressions for ongoing validation, helping reduce repeated errors in dynamic environments.
Key features
Records messy agent runs including actions, turns, transcripts, tools, state, artifacts, and outcomes
Detects likely failures in production agent workflows
Replays the exact bad step from recorded traces
Packages verified fix paths for coding agents
Supports browser, chat, and voice agents
Generates fix briefs and regression targets from incidents
Provides one incident loop from trace to regression
What you can use Promptetheus for
Production Failure Detection
Promptetheus records full agent runs across actions, turns, transcripts, tools, state, artifacts, and outcomes to automatically surface likely failures in live workflows.
Trace Replay and Root Cause Isolation
Users can replay the exact failing step from recorded traces, isolate the bad action, and generate fix briefs with attached regression targets.
Fix Packaging for Coding Agents
Verified fix paths are packaged from incidents and fed back to coding agents, closing the loop from trace capture to regression testing.
How to use Promptetheus
- 1Install promptetheus-service with uv or pip
- 2Import promptetheus and decorate the agent function
- 3Run the agent to capture production traces
- 4Open the console to review detected incidents
- 5Generate fix briefs and queue regression targets
Promptetheus pricing
Pricing model: Open Source. Plan details are indicative — check the site for current prices.
Open Source
Free
- Core incident recording
- Replay and fix packaging
- Agent observation decorator
Editor's verdict
Pros
- +Enables incident response without converting the homepage into a dashboard
- +Integrates via simple Python decorator for observation
- +Maintains regression replays for repeated testing
Cons
- –Requires code changes for full tracing functionality
- –Generates high-volume event streams (2.4k events/min)
- –Focused on post-failure analysis
Our take: Promptetheus is a solid coding & dev choice. It's valued for enables incident response without converting the homepage into a dashboard and integrates via simple python decorator for observation. The main trade-off is requires code changes for full tracing functionality. A good pick if you want capable AI without a high upfront cost.
Frequently asked questions
It supports browser, chat, and voice agents by capturing their distinct production traces including DOM snapshots, messages, tool calls, and handoff events.
Summary
Promptetheus is a solid coding & dev choice. It's valued for enables incident response without converting the homepage into a dashboard and integrates via simple python decorator for observation. The main trade-off is requires code changes for full tracing functionality. A good pick if you want capable AI without a high upfront cost.
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