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Overview

This PR implements CRE-2025-0171, a critical failure detection rule for AutoGPT autonomous agents that enter runaway task execution loops. This addresses the bounty challenge outlined in GitHub issue #129.

Problem Description

AutoGPT agents can enter infinite task retry cycles when encountering API rate limits or resource constraints, leading to:

  • Runaway task loops - Agents create thousands of identical retry tasks
  • Resource exhaustion - CPU, memory, and API quota depletion
  • System unresponsiveness - Complete system lockup requiring manual intervention
  • Financial impact - Massive unexpected API costs (potentially thousands of dollars)

Solution

CRE Details

  • ID: CRE-2025-0171
  • Severity: 0 (Critical)
  • Category: ai-agent-problem
  • Detection Pattern: 4-stage sequence detection within 180s window

Test Results

image
$ cat test.log | preq -r autogpt-runaway-task-loop.yaml -d

The rule successfully detects 4 critical hits in the test scenario, demonstrating effective pattern matching for runaway task loops with resource exhaustion.

Requirement Status Details
High-severity AutoGPT failure Runaway task loops with critical resource exhaustion
Recent release compatibility Targets AutoGPT >= 0.5.0
Unique CRE rule CRE-2025-0171 with novel detection pattern
Production effectiveness 4-stage sequence detection with comprehensive monitoring
Minimal reproduction Clear test logs demonstrating failure scenario

/claim #129
fixes #129

Implements critical failure detection for AutoGPT autonomous agents that
enter runaway task execution loops, causing resource exhaustion and system
unresponsiveness. Addresses GitHub issue prequel-dev#129 bounty challenge requirements.

Key features:
- Detects infinite task retry cycles and recursive task generation
- Monitors CPU, memory, and API quota exhaustion patterns
- Critical severity (0) for immediate incident response
- 4-stage sequence detection with 180s window
- Comprehensive mitigation strategies for production environments

Test scenario reproduces realistic failure: API rate limiting causing
infinite retry loops with escalating resource consumption.
- Updated category from 'ai-agent-problem' to 'task-management-problem'
- Removed invalid tags and kept only validated tags from tags.yaml
- Added comprehensive PR.md documentation for bounty submission
- Rule now passes make validation successfully

Ready for GitHub issue prequel-dev#129 AutoGPT bounty submission.
@amanycodes
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Hi @Sahelisaha04 thanks for submitting the CRE! mostly LGTM please take a look at the review.

@Sahelisaha04
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@amanycodes did u added the review ?

@amanycodes
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@amanycodes did u added the review ?

yes!

@Sahelisaha04
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Sahelisaha04 commented Oct 30, 2025

Screencast.From.2025-10-30.16-04-51.mp4

@amanycodes there is no review

@amanycodes
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@Sahelisaha04 I think now they would be visible. thanks for letting me know.

- regex: "(Starting task.*|Executing.*|Task created:|Creating subtask)"
- regex: "(Starting task.*|Executing.*|Task created:|Creating subtask)"
- regex: "(Starting task.*|Executing.*|Task created:|Creating subtask)"
- regex: "(Memory usage.*[0-9]+MB|CPU usage.*[0-9]+%|API calls.*rate limit|Resource exhaustion detected|Out of memory|System overload)" No newline at end of file
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the regex expression: regex: "(Starting task.|Executing.|Task created:|Creating subtask)" is being repeated. Also, this regex is noisy as "starting task", "executing task" and "creating subtask" are informational messages, we don't want our CRE to trigger when this is logged. we can remove these.

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AutoGPT: Reproduce A High-Severity Failure & Write a CRE Rule [Multiple Winners] [Submit by August 31 11:59 pm ET]

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