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Issue title
Missing import: `gc` used but not imported
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Issue body (markdown)
## Code-quality scan: `kubernetes-sigs/inference-perf`
**Score: 68/100 (B-)** · 130 findings · scanned 2026-06-05 19:52 UTC · 30,859 LOC
| Severity | Count |
|---|---|
| CRITICAL | 9 |
| HIGH | 14 |
| MEDIUM | 23 |
| LOW | 25 |
📊 [Full filterable report](https://repobility.com/scan/def834f7-1e77-4438-ad9f-7f593101ea91/) · 
### Top findings
1. **CRITICAL** `MINED107` — Missing import: `http` used but not imported
`e2e/utils/llm_d_inference_sim.py:117` · ✓ Repobility
2. **CRITICAL** `MINED107` — Missing import: `queue` used but not imported
`inference_perf/datagen/otel_trace_to_replay_graph.py:1198` · ✓ Repobility
3. **CRITICAL** `MINED107` — Missing import: `gc` used but not imported
`inference_perf/datagen/otel_trace_to_replay_graph.py:1129` · ✓ Repobility
4. **CRITICAL** `MINED107` — Missing import: `signal` used but not imported
`inference_perf/datagen/replay_graph_session_datagen.py:191` · ✓ Repobility
5. **CRITICAL** `MINED107` — Missing import: `gc` used but not imported
`inference_perf/datagen/replay_graph_session_datagen.py:979` · ✓ Repobility
---
_Filed automatically. Close this issue if not useful — we won't refile. Full report: https://repobility.com/scan/def834f7-1e77-4438-ad9f-7f593101ea91/_
Already filed
'kubernetes-sigs' is on the known-megaproject org list. These projects use auto-triage bots and established security disclosure channels. Unsolicited automated issues from Repobility would be perceived as AI-generated spam. For security findings, follow the project's SECURITY.md policy. For non-security findings, open a focused PR or community discussion instead.
Already filed
This repo publishes a SECURITY.md policy and the scan contains 3 Critical/High security finding(s). Public issue filing would violate coordinated disclosure. Submit privately via the project's security reporting channel.
Megaproject â high spam risk
Could not determine 'kubernetes-sigs/inference-perf' star count (GitHub API rate-limited or unreachable). When in doubt about repo size, prefer opening a focused PR or a discussion rather than an issue.
Already filed
72/134 findings (54%) on this scan are already flagged as test-file, won't-fix, or suppressed. The scan is too noisy to file as a single issue. Curate down to specific actionable findings, or address the FP source first.
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