--- language: - en license: mit task_categories: - text-generation tags: - agents - evaluation-methodology - tool-calling - resilience - disruption - fault-injection - LLM - evaluation pretty_name: AgentDisruptBench size_categories: - n<1K --- # AgentDisruptBench An evaluation methodology for measuring AI agent resilience under runtime tool-call disruptions. ## Overview AgentDisruptBench provides a systematic methodology, backed by **100 base tasks and variants** across **4 domains**, a systematic **20-type disruption taxonomy**, and **9 disruption severity profiles**, to study and measure how well LLM-based agents handle real-world tool failures. ## Task Statistics | Domain | Standard | Adversarial | Impossible | Handover | Total | |----------|:--------:|:-----------:|:----------:|:--------:|:-----:| | Retail | 20 | 2 | 2 | 1 | 25 | | Travel | 20 | 2 | 2 | 1 | 25 | | Finance | 20 | 2 | 2 | 1 | 25 | | DevOps | 20 | 2 | 2 | 1 | 25 | | **Total**| **80** | **8** | **8** | **4** | **100** | ## Disruption Taxonomy (20 Types) | Category | Types | |----------|-------| | Timing | timeout, latency | | HTTP Status | http_429, http_401, http_403, http_500, http_502, http_503 | | Response Content | malformed_json, truncated, null_response, missing_fields, type_mismatch, schema_drift, wrong_data | | Behavioral | intermittent, flapping, quota_exhausted, auth_expiry, cascading | ## Key Metric: R(k, ε, λ) Reliability Surface - **k-consistency**: Pass rate across repeated seeds (same task, same profile) - **ε-robustness**: Pass rate across task-wording variants - **λ-fault-tolerance**: Pass rate across disruption profiles ## Files - `tasks/retail.yaml` — 20 retail domain tasks - `tasks/travel.yaml` — 20 travel domain tasks - `tasks/finance.yaml` — 20 finance domain tasks - `tasks/devops.yaml` — 20 DevOps domain tasks - `tasks/adversarial.yaml` — 8 adversarial trap tasks - `tasks/impossible.yaml` — 8 impossible tasks - `tasks/handover.yaml` — 4 handover tasks - `tasks/variants.yaml` — 18 ε-robustness task variants - `profiles/` — 9 disruption profile definitions ## Usage ```python pip install agentdisruptbench from agentdisruptbench import TaskRegistry, DisruptionEngine registry = TaskRegistry.from_builtin() tasks = registry.filter(domain="retail", max_difficulty=3) ``` ## Citation ```bibtex @inproceedings{agentdisruptbench2026, title={AgentDisruptBench: An Evaluation Methodology for AI Agent Resilience Under Runtime Tool-Call Disruptions}, author={AgentDisruptBench Contributors}, year={2026} } ``` ## License MIT