feat: reserve queue capacity for recent models

README.md

@@ -55,6 +55,9 @@ Optional tuning:
 - `MODELHUB_QUEUE_CLEANUP_INTERVAL_CYCLES` default `120`; cleanup also runs once at startup
 - `MODELHUB_QUEUE_CLEANUP_READ_CONCURRENCY` default `6`
 - `MODELHUB_QUEUE_CLEANUP_REPORT_PATH` default `.modelhub_state/queue_cleanup_latest.json`
+- `MODELHUB_OLD_MODEL_QUEUE_THRESHOLD` default `80` per account
+- `MODELHUB_DYNAMIC_OLD_MODEL_CLEANUP_THRESHOLD` default `95` per account
+- `MODELHUB_RECENT_MODEL_DAYS` default `7`
 
 ## Adaptive GPU Strategy
 
@@ -135,6 +138,25 @@ same model or infer failure from historical similarity. The cleanup repeats
 every 120 poll cycles by default and writes its full evidence report to
 `.modelhub_state/queue_cleanup_latest.json`.
 
+Each account reserves only its first 80 active queue positions for models older
+than seven days. Old-model reservations are made under the same account lock as
+capacity reservations, so concurrent submissions cannot cross position 80.
+Once every account has at least 80 active tasks, discovery is capped at the
+seven-day window and only recent models can fill positions 81–100. Unknown model
+timestamps are treated as old for new submissions.
+
+Queue cleanup applies a two-level version of the policy. On poller cycle 1 it
+first stops deterministic OOM tasks, recalculates each account's surviving task
+order by numeric task ID, and removes older-than-seven-days tasks after position
+80. On later scheduled cleanup cycles, the age threshold relaxes to 95: old
+tasks in positions 81-95 are retained and only old tasks at position 96 or later
+are removed. New old-model submissions are still blocked at position 80, so the
+upper queue remains available to recent models without repeatedly over-pruning
+existing work. Recent overflow tasks are always kept. ModelScope metadata
+failures fail closed and never trigger cancellation. Immediately before
+mutation, task ownership, active status, and post-OOM queue position are checked
+again.
+
 The verified capacities, safe repository-size boundaries, evidence hierarchy,
 and source links are recorded in
 `docs/gpu-memory-capacity-2026-08-10.md`.
@@ -218,12 +240,16 @@ second active-state check and fail-closed handling for incomplete evidence.
 Version `2026.08.11.2` removes LLM inference from every online path; credentials
 alone cannot activate it, and unresolved cases remain available for offline,
 human-reviewed rule development.
+Version `2026.08.11.3` adds atomic per-account 80/7-day admission, prevents
+history expansion once old-model positions are exhausted, performs a strict
+position-80 startup cleanup, and relaxes scheduled age cleanup to position 95
+after OOM cleanup and a second queue check.
 
 ## Deploy
 
 Create a tag and submit the repository URL plus tag in "我的适配智能体".
 
 ```bash
-git tag agent-v12
-git push origin agent-v12
+git tag agent-v17
+git push origin agent-v17
 ```