This release adds 1 notable feature for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Summary
AI summaryAdded max_queue_size setting to limit active download‑queue depth per instance.
Changes in this release
| Type | Severity | Summary | CVE |
|---|---|---|---|
| Feature | Medium |
Adds `max_queue_size` setting (global and per-instance, default 0 = disabled). Adds `max_queue_size` setting (global and per-instance, default 0 = disabled). Source: llm_adapter@2026-07-16 Confidence: high |
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| Feature | Low |
Limits new item queuing based on active download-queue depth. Limits new item queuing based on active download-queue depth. Source: granite4.1:30b@2026-07-16-audit Confidence: low |
— |
| Feature | Low |
Splits queued items proportionally between missing and upgrade searches. Splits queued items proportionally between missing and upgrade searches. Source: granite4.1:30b@2026-07-16-audit Confidence: low |
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| Feature | Low |
Skips instance if its queue is at or above the threshold. Skips instance if its queue is at or above the threshold. Source: granite4.1:30b@2026-07-16-audit Confidence: low |
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| Feature | Low |
Skips instance when queue endpoint cannot be reached (fail-closed). Skips instance when queue endpoint cannot be reached (fail-closed). Source: granite4.1:30b@2026-07-16-audit Confidence: low |
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Full changelog
Added
max_queue_sizesetting (global and per-instance, default0= disabled). Before searching an instance, Rangarr measures its active download-queue depth (items that are downloading, queued, paused, or in delay) and queues only enough new items to keep the queue at or below the threshold, split proportionally between missing and upgrade searches. If the queue is already at or above the threshold the instance is skipped for that cycle; if the queue endpoint cannot be reached the instance is skipped (fail-closed).
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Related context
Related tools
Earlier breaking changes
- v0.9.0 `type: whisparr` now maps to Whisparr v3; existing v2 users must update config to `type: whisparr_v2`.
Beta — feedback welcome: [email protected]