OpenHands / OpenHands/enterprise
[Resume tracker] Add resume-path memory telemetry and regression soak test
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- Dominant language
- Python
- Stars
- 4
- Forks
- 2
- Avg merge
- 1d 22h
- Merged PRs (30d)
- 101
Description
Parent tracker
- #244
Goal
Make resume-path allocation and retention observable, and prevent regressions with a repeated-request soak test.
Scope
- Add low-cardinality counters for resume outcomes:
resumed,already_active,conflict,not_found,rate_limited, anderror. - Export process RSS and Python heap metrics separately.
- Export GC generation/collection counts and active asyncio task count.
- Add HTTP client connection/pool and trace-writer queue/drop telemetry where available.
- Replace request-frequency full tracebacks for expected conflicts with sampled warnings and counters.
- Build a soak test that repeatedly exercises no-op resume requests and records RSS/heap growth.
- Define an acceptable memory-growth threshold for CI or a dedicated performance environment.
Acceptance criteria
- Operators can distinguish Python heap growth from allocator/RSS high-water behavior.
- Expected resume conflicts are measurable without high-volume traceback logging.
- The soak test fails when memory grows beyond the documented threshold.
- Metrics do not use user, sandbox, runtime, or client identifiers as tags.
This issue was created by an AI agent (OpenHands) on behalf of the user.
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with parent issue #244, then locate the resume request path, existing metrics and logging, and the test harness used for repeated requests. Trace which telemetry sources are already available before defining the soak-test setup. Done means the listed resume outcomes and resource metrics are observable, expected conflicts avoid noisy tracebacks, and the repeated-request test enforces a documented memory-growth threshold without identifying tags.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend, observability, testing-qa
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100