Time-based retention can still fill a worker under bursty or high-rate input. Define request-lifecycle cleanup with capacity reservation and crash recovery.
Assisted-by: Codex:gpt-6
High-frequency camera and audio inputs can fill a worker before the current six-hour cleanup window expires.
Define a one-hour retention policy that preserves recently modified request payloads.
Assisted-by: Codex:gpt-6
* docs: design configurable copy buffering
Document the context-aware copy buffer option and its validation plan.
Assisted-by: Codex:gpt-5
* docs: design durable distributed staging operations
Assisted-by: Codex:gpt-5
* docs: design distributed model config revisions
Assisted-by: Codex:GPT-5 [apply_patch] [exec_command]
* feat(config): add stable model revisions
Hash typed model configuration and effective protobuf options deterministically for distributed revision comparisons.
Assisted-by: Codex:GPT-5 [apply_patch] [exec_command]
* feat(worker): acknowledge exact model stops
Assisted-by: Codex:GPT-5 [apply_patch] [exec_command]
* feat(nodes): track model config revisions
Assisted-by: Codex:GPT-5 [apply_patch]
* fix(distributed): retry quarantined model cleanup
Stop quarantined replicas by exact process identity, retain failed cleanup as durable capped retries, and compare-and-delete only the claimed registry row. Process one sufficiently leased row at a time so multiple frontends cannot duplicate slow cleanup work.
Assisted-by: Codex:gpt-5
* fix(distributed): bind loads to config revisions
Assisted-by: Codex: GPT-5 [OpenAI Codex]
* fix(modeladmin): apply config revisions consistently
Route model edits, patches, state changes, deletion, and peer refreshes through the same revision lifecycle. Quarantine stale replicas before exact cleanup and report durable pending cleanup without failing successful config writes.
Assisted-by: Codex: GPT-5 [OpenAI Codex]
* feat(distributed): expose model config revision state
Document replica revision observability and durable cleanup behavior. Keep pending cleanup explicit in model mutation responses and verify endpoint contracts expose revision state without serialized load options.
Assisted-by: Codex:GPT-5 [OpenAI Codex]
* test(distributed): cover model revision convergence
Exercise cross-frontend quarantine, stale replay rejection, exact cleanup retry, worker re-registration, and current-generation replica convergence against the distributed PostgreSQL harness.
Assisted-by: Codex:gpt-5
* fix(distributed): pass config revision CI checks
Keep configured gallery sources out of authoritative runtime snapshots only after validating their real schema, and harden rollback snapshots against symlink races and non-regular files.
Assisted-by: Codex: GPT-5 [OpenAI Codex]
---------
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
* docs: design configurable copy buffering
Document the context-aware copy buffer option and its validation plan.
Assisted-by: Codex:gpt-5
* docs: design durable distributed staging operations
Assisted-by: Codex:gpt-5
* fix(distributed): merge durable staging operations
Use active model load jobs as the durable operations baseline and overlay replica-local staging progress without duplication. Preserve tracker-only operations when the registry cannot be read.
Assisted-by: Codex:gpt-5
---------
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
Ettore Di Giacinto