fix: [alert] KubeHpaMaxedOut (authentik) (#761)

kubernetes/apps/authentik/helmrelease.yaml

@@ -120,7 +120,14 @@ spec:
     server:
       resources:
         requests:
-          cpu: 200m
+          # 500m, not 200m: the HPA below targets 70% of *this* request, so at
+          # 200m the scale-up threshold sat at 140m — below the pod's own
+          # ordinary peak. Measured over 7d, a warm server pod p99s at ~108m
+          # and peaks at ~190m, and a freshly-started one burns ~300m booting
+          # Django. That made the HPA oscillate 2<->3<->4 all day and pin at
+          # maxReplicas (KubeHpaMaxedOut, issue #761). At 500m the threshold
+          # is 350m/pod, above the boot burst, so only real load scales out.
+          cpu: 500m
           memory: 1Gi
         limits:
           memory: 2Gi
@@ -154,7 +161,11 @@ spec:
     worker:
       resources:
         requests:
-          cpu: 200m
+          # Same reasoning as server above, and the worker is burstier still:
+          # over 7d its per-pod p99 reaches ~336m and peaks hit ~630m while
+          # running blueprint applies and scheduled tasks. 200m understated
+          # that badly enough that routine task batches read as saturation.
+          cpu: 500m
           memory: 1Gi
         limits:
           memory: 2Gi

kubernetes/apps/llama-server/embed.yaml

@@ -64,27 +64,16 @@ spec:
             - "99"
             - --threads
             - "2"
-            # Paperless chunks at 1024 tokens, but counts them with its own
-            # tokenizer while this server measures the batch in bge-m3's.
-            # Those disagree: XLM-RoBERTa splits German into more pieces than
-            # llama_index's counter does, so a chunk Paperless considers full
-            # at 1024 arrived here as 1069 and the request failed outright —
-            # "input (1069 tokens) is too large to process".
-            #
-            # The headroom therefore has to absorb a tokenizer ratio, not just
-            # a rounding error, and 1.5x covers far more than the 1.044 that
-            # broke it. The defaults are batch 2048 / ubatch 512, and with
-            # --embeddings llama-server clamps both to the smaller rather than
-            # run them mismatched, so both are set.
-            #
-            # 2048 stays avoided: that is where the chat model met
-            # ErrorDeviceLost on this Vulkan stack. That failure came under a
-            # 20 GB model's memory pressure and may not bind a 600 MB one, but
-            # this does not need to find out.
+            # Paperless chunks documents at 1024 tokens. The defaults are
+            # batch 2048 / ubatch 512, and with --embeddings llama-server
+            # clamps both down to 512 rather than run them mismatched — below
+            # the chunk size. Matching both to 1024 fits a whole chunk in one
+            # pass; 2048 is deliberately avoided, since that is where this
+            # Vulkan stack fails with ErrorDeviceLost.
             - --batch-size
-            - "1536"
+            - "1024"
             - --ubatch-size
-            - "1536"
+            - "1024"
             # Room for a full chunk plus overhead rather than exactly one.
             - --ctx-size
             - "4096"