ag2ai / Agents_Failure_Attribution
Benchmark for automated failure attributions in agentic systems (🏆 ICML 2025 Spotlight)
Why this job: says: benchmark
What it does
This repository provides the implementation of ICML 2025 spotlight paper "Which Agent Causes Task Failures and When?", which introduces the task of automated failure attribution in LLM-based multi-agent systems. Given a failed task, the goal failure attribution is to automatically identify the agent and step responsible for the failure.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 10 days ago
- Stars
- 396
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 2
- Last 90 days
- Issues
- 58% closed
- 5 still open
- Pull requests
- 3 merged
- 1 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 100%
Topics
- agent
- autogen
- llm
- multi-agent
- multiagent-systems
Project record
- JobEvals and observability
- StatusListed
- Commits94
- Forks33
- Watching2
- Stars in 28 days+6
- CreatedApr 29, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026