ITBench

Paper | Leaderboard | Scenarios | Agents | How to Cite | Contributors | Contacts

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📢 Announcements

Latest Updates

• [June 13, 2025] Identified 25+ additional scenarios to be developed over the summer.
• [May 2, 2025] 🚀 ITBench now provides fully-managed scenario environments for everyone! Our platform handles the complete workflow—from scenario deployment to agent evaluation and leaderboard updates. Visit our GitHub repository here for guidelines and get started today.
• [February 28, 2025] 🏆 Limited Access Beta: Invite-only access to the ITBench hosted scenario environments. ITBench handles scenario deployment, agent evaluation, and leaderboard updates. To request access, e-mail us here.
• [February 7, 2025] 🎉 Initial release! Includes research paper, self-hosted environment setup tooling, sample scenarios, and baseline agents.

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Overview

ITBench measures the performance of AI agents across a wide variety of complex and real-world inspired IT automation tasks targeting three key use cases:

Use Case	Focus Area
SRE (Site Reliability Engineering)	Availability and resiliency
CISO (Compliance & Security Operations)	Compliance and security enforcement
FinOps (Financial Operations)	Cost efficiencies and ROI optimization

Key Features

• Real-world representation of IT environments and incident scenarios
• Open, extensible framework with comprehensive IT coverage
• Push-button workflows and interpretable metrics
• Kubernetes-based scenario environments

What's Included

ITBench enables researchers and developers to replicate real-world incidents in Kubernetes environments and develop AI agents to address them.

We provide:

1. Push-button deployment tooling for environment setup (open-source)
2. Framework for recreating realistic IT scenarios using the deployment tooling:
   • 6 SRE scenarios and 21 mechanisms (open-source)
   • 4 categories of CISO scenarios (open-source)
   • 1 FinOps scenario (open-source)
3. Two reference AI agents:
   • SRE (Site Reliability Engineering) Agent (open-source)
   • CISO (Chief Information Security Officer) Agent (open-source)
4. Fully-managed leaderboard for agent evaluation and comparison

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Roadmap

Timeline	Key Deliverables
July 2025	• Refactor leading to a scenario specification generator and runner allowing for most (if not all) mechanisms to be re-used across diverse applications and microservices • Implementation of 10 of the additional scenarios identified
August 2025	• SRE-Agent-Lite: Lightweight agent to assist non-systems personnel with environment debugging • Snapshot & Replay: Data capture and replay capabilities • Implementation of 15 of the additional scenarios to be developed over the summer
Fall 2025	BYOA (Bring Your Own Application): Support for custom application integration

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Leaderboard

The ITBench Leaderboard tracks agent performance across SRE, FinOps, and CISO scenarios. We provide fully managed scenario environments while researchers/developers run their agents on their own systems and submit their outputs for evaluation.

Domain	Leaderboard
SRE	View SRE Leaderboard
CISO	View CISO Leaderboard

Get Started: Visit docs/leaderboard.md for access and evaluation guidelines.

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Scenarios

ITBench incorporates a collection of problems that we call scenarios. Each scenario is deployed in an operational environment where specific problems occur.

Examples of Scenarios

• SRE: Resolve "High error rate on service checkout" in a Kubernetes environment
• CISO: Assess compliance posture for "new control rule detected for RHEL 9"
• FinOps: Identify and resolve cost overruns and anomalies

Find all scenarios: Scenarios repository

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Agents

Two baseline agents are being open-sourced with ITBench, built using the CrewAI framework.

Agent Features

• Configurable LLMs: watsonx, Azure, or vLLM support
• Natural language tools: Interactions with the environment for information gathering

Available Agents

Agent	Repository
SRE Agent	itbench-sre-agent
CISO Agent	itbench-ciso-caa-agent

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How to Cite

@misc{jha2025itbench,
      title={ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks},
      author={Jha, Saurabh and Arora, Rohan and Watanabe, Yuji and others},
      year={2025},
      url={https://github.com/IBM/itbench-sample-scenarios/blob/main/it_bench_arxiv.pdf}
}

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Join the Discussion

Have questions or need help getting started with ITBench?

• Create a GitHub issue for bug reports or feature requests
• Join our Discord community for real-time discussions
• For formal inquiries, please see the contacts section

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Contacts

• General inquiries: agent-bench-automation@ibm.com
• Saurabh Jha: saurabh.jha@ibm.com
• Yuji Watanabe: muew@jp.ibm.com