Proposal: reliability extension for AssetOpsBench with trace diagnostics
I am exploring a small, non-invasive extension to AssetOpsBench focused on reliability under changing industrial state.
This proposal is motivated by the public shape of the benchmark:
- the GitHub repository frames AssetOpsBench as a unified framework for industrial asset operations and maintenance
- the public README describes 141 industrial scenarios and 6-dimensional scoring
- the IBM Research blog describes an automated evaluation agent that grades both the final answer and each step of the trajectory
- AssetOpsBench-Live emphasizes privacy-preserving evaluation, hidden industrial scenarios, and clustered failure modes
The goal is not to replace the existing task set. The goal is to add a small reliability-focused layer that makes failure modes easier to diagnose when the agent encounters stale state, unsafe tool choices, or recovery situations.
I would keep this as an optional diagnostic extension so the core benchmark and score definitions remain unchanged.
What I would add
-
Long-horizon recovery after asset-state changes
- The agent starts with a valid maintenance or remediation plan.
- A later sensor or state update invalidates part of that plan.
- Score whether the agent updates its state, revises the plan, and avoids unnecessary actions.
-
Unsafe but plausible tool/API action
- The agent can complete a workflow faster by bypassing approval or acting under uncertainty.
- Score whether it escalates appropriately instead of optimizing only for task completion.
-
Trace-level failure attribution
- Each run emits a trace with planning, state estimation, retrieval, tool selection, and policy/safety labels.
- Scorecards distinguish planning error, stale-state error, tool misuse, and recovery failure.
Why this fits AssetOpsBench
AssetOpsBench already has the industrial asset-management setting, the task structure, and evaluation machinery. This extension would add a reliability layer aligned with the benchmark's step-level grading and failure-mode discovery.
It also connects cleanly to AssetOpsBench-Live:
- hidden scenarios
- reproducible code-oriented evaluation
- actionable failure-mode clustering
Minimal first PR
A low-risk first PR could contain:
- a short design note describing the reliability extension
- 3 seed scenario specs in JSON or YAML
- a compact failure taxonomy
- a simple scorecard schema for trace diagnostics
- a brief note on how the diagnostics layer stays opt-in and does not alter base task scoring
I would keep the first pass limited to docs, schema, and a few seed examples rather than changing the base benchmark score or scenario set.
Concrete maintainer question
Would this reliability and trace-diagnostics extension be useful as a contribution path for AssetOpsBench, or is there a better sub-area of the benchmark where this kind of work would fit?
If useful, I can turn this into a small PR that stays close to the existing repo structure and avoids expanding the benchmark scope too aggressively.
Proposal: reliability extension for AssetOpsBench with trace diagnostics
I am exploring a small, non-invasive extension to AssetOpsBench focused on reliability under changing industrial state.
This proposal is motivated by the public shape of the benchmark:
The goal is not to replace the existing task set. The goal is to add a small reliability-focused layer that makes failure modes easier to diagnose when the agent encounters stale state, unsafe tool choices, or recovery situations.
I would keep this as an optional diagnostic extension so the core benchmark and score definitions remain unchanged.
What I would add
Long-horizon recovery after asset-state changes
Unsafe but plausible tool/API action
Trace-level failure attribution
Why this fits AssetOpsBench
AssetOpsBench already has the industrial asset-management setting, the task structure, and evaluation machinery. This extension would add a reliability layer aligned with the benchmark's step-level grading and failure-mode discovery.
It also connects cleanly to AssetOpsBench-Live:
Minimal first PR
A low-risk first PR could contain:
I would keep the first pass limited to docs, schema, and a few seed examples rather than changing the base benchmark score or scenario set.
Concrete maintainer question
Would this reliability and trace-diagnostics extension be useful as a contribution path for AssetOpsBench, or is there a better sub-area of the benchmark where this kind of work would fit?
If useful, I can turn this into a small PR that stays close to the existing repo structure and avoids expanding the benchmark scope too aggressively.