---
license: cc-by-4.0
task_categories:
- text-generation
language:
- en
tags:
- devops
- sre
- software-engineering
- benchmark
- agents
- mcp
- deterministic-evaluation
pretty_name: DevOpsBench-100
size_categories:
- n<1K
---

# DevOpsBench-100

DevOpsBench-100 is a synthetic long-horizon software-engineering / SRE agent
benchmark: 100 tasks over one executable world ("NovaCart", a mid-size
e-commerce SaaS) with 72 SQLite tables,
1451 seeded rows, a 38-file monorepo with 417 commits,
and 97 MCP tools spanning a first-party engineering stack
(tickets, PRs, CI, deployments, canaries, migrations, feature flags, metrics,
alerts, incidents, chat, knowledge base) plus deliberately disagreeing
vendor-shaped surfaces (Jira, Linear, GitHub Issues, Prometheus, Sentry,
PagerDuty, Confluence, spreadsheets) and Kubernetes.

Tasks are outcome-only tickets (symptom + definition of done; company policy
lives in the world's knowledge base, not the prompt). Reference trajectories
run 4-34 tool calls (median 13).
Acceptance is fully deterministic: each task ships an executable vcode
verifier that checks the final world state and the append-only audit log,
with anti-forgery table pins - no LLM judge, no network, no clock in the
reward path.

## What is included

- `data/tasks.jsonl`: task records (`task_id`, `task_name`, `world_id`,
  `prompt`, `context_files`, `rubric`, `gold_output`, `metadata`).
- `tasks/`: one readable JSON record per task (includes the guided
  instruction variant).
- `world/`: the offline world source - stdlib MCP server, tool implementations,
  seeded SQLite database, schema and seed SQL.
- `verifiers/`: 100 standalone verifier scripts
  (`python3 verify_<task>.py world.db` prints the full verdict).
- `trajectories/`: one executed reference trajectory per task (JSONL).
- `reports/`: measured build and qualification evidence.

## Task families (19)

| Family | Tasks |
|---|---:|
| Cross-system source of truth | 8 |
| Error-rate SLO recovery | 8 |
| Latency optimization | 8 |
| API migration | 7 |
| Change attribution | 7 |
| Feature-flag operation | 7 |
| Multi-service rollout | 7 |
| Security incident response | 7 |
| AIOps root-cause analysis | 6 |
| Flaky-test remediation | 6 |
| AIOps detection | 5 |
| AIOps localization | 5 |
| Cross-source reconciliation | 5 |
| Code implementation | 4 |
| Operational judgement / restraint | 4 |
| Incident handover | 2 |
| Long-horizon delivery | 2 |
| Human-approval gated change | 1 |
| Workspace scripting | 1 |

## Objective release gates

| Gate | Required | Measured |
|---|---:|---:|
| Tasks | 100 | 100 |
| Oracle replays at reward 1.0 | 100/100 | see `reports/qualification.json` |
| Deterministic verifier replays | 100/100 | see `reports/qualification.json` |
| Negative-control false accepts | 0 | see `reports/qualification.json` |
| LLM / network calls in verifier | 0 | 0 |

## Provenance and contamination

Every service, metric, document, commit, and incident is synthetic and was
generated for the NovaCart world. 30 cross_system/handover tasks were ported
from TheAgentCompany task *shapes* re-grounded onto NovaCart's own state; the
AIOps families reproduce the microsoft/AIOpsLab task *structure*
(detect / localize / analyze) against NovaCart. No third-party benchmark
text, evidence, or gold answers are included. Gold outputs are public, so
this release is appropriate for transparent evaluation and RL experiments
rather than secret-test claims.

## Licenses

Synthetic task data and world content are CC-BY-4.0. Benchmark code,
server, and verifiers are Apache-2.0.