| ---
|
| license: cc-by-nc-4.0
|
| dataset_info:
|
| - config_name: oracle
|
| features:
|
| - name: task_id
|
| dtype: string
|
| - name: domain
|
| dtype: string
|
| - name: system_prompt
|
| dtype: string
|
| - name: user_prompt
|
| dtype: string
|
| - name: selected_tools
|
| list: string
|
| - name: restricted_tools
|
| list: 'null'
|
| - name: mcp_endpoint
|
| dtype: string
|
| - name: number_of_runs
|
| dtype: int64
|
| - name: reset_database_between_runs
|
| dtype: bool
|
| - name: gym_servers_config
|
| dtype: string
|
| - name: verifiers
|
| dtype: string
|
| splits:
|
| - name: calendar
|
| num_bytes: 287514
|
| num_examples: 61
|
| - name: csm
|
| num_bytes: 1463009
|
| num_examples: 103
|
| - name: drive
|
| num_bytes: 469510
|
| num_examples: 64
|
| - name: email
|
| num_bytes: 466399
|
| num_examples: 67
|
| - name: hr
|
| num_bytes: 1691979
|
| num_examples: 102
|
| - name: hybrid
|
| num_bytes: 1270996
|
| num_examples: 88
|
| - name: itsm
|
| num_bytes: 1422432
|
| num_examples: 103
|
| - name: teams
|
| num_bytes: 1305140
|
| num_examples: 61
|
| download_size: 991194
|
| dataset_size: 8376979
|
| - config_name: plus_10_tools
|
| features:
|
| - name: task_id
|
| dtype: string
|
| - name: domain
|
| dtype: string
|
| - name: system_prompt
|
| dtype: string
|
| - name: user_prompt
|
| dtype: string
|
| - name: selected_tools
|
| list: string
|
| - name: restricted_tools
|
| list: 'null'
|
| - name: mcp_endpoint
|
| dtype: string
|
| - name: number_of_runs
|
| dtype: int64
|
| - name: reset_database_between_runs
|
| dtype: bool
|
| - name: gym_servers_config
|
| dtype: string
|
| - name: verifiers
|
| dtype: string
|
| splits:
|
| - name: calendar
|
| num_bytes: 291906
|
| num_examples: 59
|
| - name: csm
|
| num_bytes: 1465984
|
| num_examples: 102
|
| - name: drive
|
| num_bytes: 481171
|
| num_examples: 64
|
| - name: email
|
| num_bytes: 478847
|
| num_examples: 67
|
| - name: hr
|
| num_bytes: 1714711
|
| num_examples: 102
|
| - name: hybrid
|
| num_bytes: 1287591
|
| num_examples: 88
|
| - name: itsm
|
| num_bytes: 1447378
|
| num_examples: 103
|
| - name: teams
|
| num_bytes: 1145920
|
| num_examples: 52
|
| download_size: 982687
|
| dataset_size: 8313508
|
| - config_name: plus_15_tools
|
| features:
|
| - name: task_id
|
| dtype: string
|
| - name: domain
|
| dtype: string
|
| - name: system_prompt
|
| dtype: string
|
| - name: user_prompt
|
| dtype: string
|
| - name: selected_tools
|
| list: string
|
| - name: restricted_tools
|
| list: 'null'
|
| - name: mcp_endpoint
|
| dtype: string
|
| - name: number_of_runs
|
| dtype: int64
|
| - name: reset_database_between_runs
|
| dtype: bool
|
| - name: gym_servers_config
|
| dtype: string
|
| - name: verifiers
|
| dtype: string
|
| splits:
|
| - name: calendar
|
| num_bytes: 296762
|
| num_examples: 59
|
| - name: csm
|
| num_bytes: 1473824
|
| num_examples: 102
|
| - name: drive
|
| num_bytes: 486100
|
| num_examples: 64
|
| - name: email
|
| num_bytes: 484265
|
| num_examples: 67
|
| - name: hr
|
| num_bytes: 1726316
|
| num_examples: 102
|
| - name: hybrid
|
| num_bytes: 1295972
|
| num_examples: 88
|
| - name: itsm
|
| num_bytes: 1460550
|
| num_examples: 103
|
| - name: teams
|
| num_bytes: 1150823
|
| num_examples: 52
|
| download_size: 989853
|
| dataset_size: 8374612
|
| - config_name: plus_5_tools
|
| features:
|
| - name: task_id
|
| dtype: string
|
| - name: domain
|
| dtype: string
|
| - name: system_prompt
|
| dtype: string
|
| - name: user_prompt
|
| dtype: string
|
| - name: selected_tools
|
| list: string
|
| - name: restricted_tools
|
| list: 'null'
|
| - name: mcp_endpoint
|
| dtype: string
|
| - name: number_of_runs
|
| dtype: int64
|
| - name: reset_database_between_runs
|
| dtype: bool
|
| - name: gym_servers_config
|
| dtype: string
|
| - name: verifiers
|
| dtype: string
|
| splits:
|
| - name: calendar
|
| num_bytes: 286286
|
| num_examples: 59
|
| - name: csm
|
| num_bytes: 1450583
|
| num_examples: 102
|
| - name: drive
|
| num_bytes: 475636
|
| num_examples: 64
|
| - name: email
|
| num_bytes: 473047
|
| num_examples: 67
|
| - name: hr
|
| num_bytes: 1703152
|
| num_examples: 102
|
| - name: hybrid
|
| num_bytes: 1279121
|
| num_examples: 88
|
| - name: itsm
|
| num_bytes: 1434621
|
| num_examples: 103
|
| - name: teams
|
| num_bytes: 1140547
|
| num_examples: 52
|
| download_size: 981152
|
| dataset_size: 8242993
|
| configs:
|
| - config_name: oracle
|
| data_files:
|
| - split: calendar
|
| path: oracle/calendar-*
|
| - split: csm
|
| path: oracle/csm-*
|
| - split: drive
|
| path: oracle/drive-*
|
| - split: email
|
| path: oracle/email-*
|
| - split: hr
|
| path: oracle/hr-*
|
| - split: hybrid
|
| path: oracle/hybrid-*
|
| - split: itsm
|
| path: oracle/itsm-*
|
| - split: teams
|
| path: oracle/teams-*
|
| - config_name: plus_10_tools
|
| data_files:
|
| - split: calendar
|
| path: plus_10_tools/calendar-*
|
| - split: csm
|
| path: plus_10_tools/csm-*
|
| - split: drive
|
| path: plus_10_tools/drive-*
|
| - split: email
|
| path: plus_10_tools/email-*
|
| - split: hr
|
| path: plus_10_tools/hr-*
|
| - split: hybrid
|
| path: plus_10_tools/hybrid-*
|
| - split: itsm
|
| path: plus_10_tools/itsm-*
|
| - split: teams
|
| path: plus_10_tools/teams-*
|
| - config_name: plus_15_tools
|
| data_files:
|
| - split: calendar
|
| path: plus_15_tools/calendar-*
|
| - split: csm
|
| path: plus_15_tools/csm-*
|
| - split: drive
|
| path: plus_15_tools/drive-*
|
| - split: email
|
| path: plus_15_tools/email-*
|
| - split: hr
|
| path: plus_15_tools/hr-*
|
| - split: hybrid
|
| path: plus_15_tools/hybrid-*
|
| - split: itsm
|
| path: plus_15_tools/itsm-*
|
| - split: teams
|
| path: plus_15_tools/teams-*
|
| - config_name: plus_5_tools
|
| data_files:
|
| - split: calendar
|
| path: plus_5_tools/calendar-*
|
| - split: csm
|
| path: plus_5_tools/csm-*
|
| - split: drive
|
| path: plus_5_tools/drive-*
|
| - split: email
|
| path: plus_5_tools/email-*
|
| - split: hr
|
| path: plus_5_tools/hr-*
|
| - split: hybrid
|
| path: plus_5_tools/hybrid-*
|
| - split: itsm
|
| path: plus_5_tools/itsm-*
|
| - split: teams
|
| path: plus_5_tools/teams-*
|
| ---
|
| <div align="center">
|
|
|
| <h1><img src="assets/csmgym.png" alt="Logo" width="48" style="vertical-align:middle; margin-right:8px;" /> EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings</h1>
|
|
|
| <p>
|
| <a href="#"><img src="https://img.shields.io/badge/Website-blue?logo=google-chrome&logoColor=white" /></a>
|
| <a href="#"><img src="https://img.shields.io/badge/Paper-red?logo=arxiv&logoColor=white" /></a>
|
| <a href="https://github.com/ServiceNow/EnterpriseOps-Gym"><img src="https://img.shields.io/badge/GitHub-black?logo=github" /></a>
|
| </p>
|
|
|
| <p><i>EnterpriseOps-Gym is a containerized, resettable enterprise simulation benchmark for evaluating LLM agents on stateful, multi-step planning and tool use across realistic enterprise workflows</i></p>
|
|
|
| </div>
|
|
|
| <div align="center"><img src="assets/teaser.png" alt="EnterpriseOps-Gym Overview" width="80%" /></div>
|
|
|
| ## About
|
|
|
| **EnterpriseOps-Gym** is a large-scale benchmark for evaluating the agentic planning and tool-use capabilities of LLM agents across enterprise operations. It comprises **1,150 expert-curated tasks** spanning **8 enterprise domains**, each running against live containerized MCP servers backed by realistic, fully synthetic databases.
|
|
|
| Unlike static QA benchmarks, EnterpriseOps-Gym evaluates agents on **final environment state** using SQL verifiers - meaning agents are rewarded for achieving the correct outcome, not for following a rigid action sequence. Tasks require long-horizon multi-step reasoning, strict policy compliance, and precise tool invocation under complex data dependencies.
|
|
|
| > **Best model performance: 34.1% success rate** - leaving significant headroom for future research.
|
|
|
| ## Key Features
|
|
|
| - 🛠️ **512 tools** across 8 enterprise domains
|
| - 🗄️ **164 database tables** with avg 1.7 foreign-key dependencies per table
|
| - 🔢 **9.15 avg steps** per task (up to 34), with **5.3 avg verification conditions**
|
| - 📏 **89k avg context length** per task
|
| - 🔒 Tasks enforce **access control, policy compliance, and referential integrity**
|
| - ✅ Evaluation is **outcome-based** via executable SQL verifiers — not action-sequence matching
|
| - 🐳 Fully **containerized** sandbox — reproducible and isolated per task run
|
|
|
| ## Evaluation Framework
|
|
|
| The evaluation code is available at [ServiceNow/EnterpriseOps-Gym](https://github.com/ServiceNow/EnterpriseOps-Gym).
|
|
|
| The framework supports:
|
| - **Multiple orchestrators**: ReAct, Planner-ReAct, Decomposing Planner
|
| - **Multiple LLM providers**: Anthropic, OpenAI, Azure OpenAI, Google Gemini, DeepSeek, vLLM, and more
|
| - **Parallel execution** via [Ray](https://www.ray.io/) for large-scale runs
|
| - **Automatic scoring** with per-task and per-mode breakdowns
|
|
|
| ```python
|
| from datasets import load_dataset
|
|
|
| ds = load_dataset("ServiceNow-AI/EnterpriseOps-Gym", "oracle", split="teams")
|
| ```
|
|
|
| ## Domain Information
|
|
|
| The dataset is organized by **domain** (split) and **mode** (configuration subset).
|
|
|
| ### Domains
|
|
|
| | Domain | Tasks | Avg Steps | Max Steps | Tools |
|
| |--------|------:|----------:|----------:|------:|
|
| | Calendar | 100 | 7.05 | 17 | 37 |
|
| | CSM | 186 | 12.10 | 27 | 89 |
|
| | Drive | 105 | 8.68 | 29 | 55 |
|
| | Email | 104 | 6.25 | 22 | 79 |
|
| | HR | 184 | 10.54 | 34 | 89 |
|
| | ITSM | 181 | 9.00 | 31 | 93 |
|
| | Teams | 100 | 9.41 | 18 | 70 |
|
| | Hybrid | 155 | 7.79 | 19 | Multi-domain |
|
| | **Total** | **1,115** | **9.15** | **34** | **512** |
|
|
|
| ### Modes (Tool-Set Configurations)
|
|
|
| Each mode controls the set of tools exposed to the agent, simulating realistic tool-retrieval scenarios:
|
|
|
| | Mode | Description |
|
| |------|-------------|
|
| | `oracle` | Only the exact tools needed for the task |
|
| | `plus_5_tools` | Oracle tools + 5 randomly sampled distractor tools |
|
| | `plus_10_tools` | Oracle tools + 10 randomly sampled distractor tools |
|
| | `plus_15_tools` | Oracle tools + 15 randomly sampled distractor tools |
|
|
|
| ## Field Descriptions
|
|
|
| Each row in the dataset corresponds to one task instance and contains the following fields:
|
|
|
| | Field | Type | Description |
|
| |-------|------|-------------|
|
| | `task_id` | `string` | Unique identifier for the task |
|
| | `domain` | `string` | Domain name (e.g., `teams`, `csm`, `hr`) |
|
| | `system_prompt` | `string` | Agent role definition and domain-specific policies |
|
| | `user_prompt` | `string` | Natural language task instruction |
|
| | `verifiers` | `string` (JSON) | Array of SQL-based outcome verification scripts that check final environment state |
|
| | `gym_servers_config` | `string` (JSON) | MCP server configuration(s) specifying which containerized gym server(s) to connect to |
|
| | `selected_tools` | `list[string]` | Names of tools available to the agent in this mode |
|
|
|
| ## Example Use Cases
|
|
|
| **EnterpriseOps-Gym** can be used for:
|
|
|
| - **Benchmarking LLM agents** on realistic enterprise workflows across IT, HR, CRM, and collaboration domains
|
| - **Evaluating tool-use and planning** under long-horizon, multi-step, policy-constrained settings
|
| - **Studying tool retrieval robustness** by comparing oracle vs. distractor-augmented tool modes
|
| - **Developing new orchestration strategies** — the framework natively supports ReAct, Planner-ReAct, and Decomposing Planner
|
| - **Studying failure modes** of state-of-the-art models on high-complexity enterprise tasks (best model: 34.1%)
|
| - **Extending the benchmark** with new domains, tasks, or verifiers using the released Docker sandbox infrastructure
|
|
|
| ## Citation
|
|
|
| ```bibtex
|
| @misc{enterpriseopsgym2026,
|
| title = {EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings},
|
| author = {},
|
| year = {2026}
|
| } |
