README.md

metadata

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 high-level workplace requests: the employee states the operational question or desired business result while procedure, authority, and causal facts remain distributed across the sandbox. Reference trajectories run 32-67 tool calls (median 35), with 100/100 distinct tool-name sequences. Every task publishes 53 task-scoped native assets: 32 contextual workplace artifacts, 18 exact non-empty sandbox exports that correspond one-to-one with the decision-controlling reads, and one inspectable asset manifest. The reference performs 26-34 context reads, while the verifier requires all 20 decision-controlling joins, the task-specific state transitions, a derived capacity answer with three date/cost/authority options, provider readback, and a reopened handoff. Acceptance is fully deterministic and expressed as 16 task-specific semantic milestones totaling 100 points. Low-level vcode, final-state, sequence, and anti-forgery checks remain nested verifier evidence - no LLM judge, network, or clock is 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).
• task_files/: 53 inspectable assets per task spanning tickets, services, observability, incidents, deployments, code, CI, migrations, vendor trackers, knowledge, chat, approvals, capacity reservations, vendor lead times, and customer commitments. The material/ subdirectory contains the 20 exact sandbox exports used by the deterministic causal contract; the manifest records source, query scope, material reason, format, byte size, and digest for every listed file without disclosing an execution order or gold state.
• 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
AIOps root-cause analysis	17
Cross-system source of truth	13
Error-rate SLO recovery	7
Feature-flag operation	7
Multi-service rollout	7
Cross-source reconciliation	7
Latency optimization	6
Security incident response	6
AIOps localization	5
Flaky-test remediation	5
AIOps detection	4
Code implementation	4
Operational judgement / restraint	4
Incident handover	2
Long-horizon delivery	2
API migration	1
Change attribution	1
Human-approval gated change	1
Workspace scripting	1

Objective release gates

Gate	Required	Measured
Tasks	100	100
High-level unique employee requests	100	100
Unique reference tool sequences	100	100
Inspectable assets per task	53	53
Exact non-empty material exports per task	20	20
Material causal reads per task	20	20
Unique causal evidence profiles	100	100
Semantic milestones / points	16 / 100	16 / 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.