openai_server: constant-time API key check (hmac.compare_digest) + resource_plan: csv-parse GPU names (fixes comma-in-name drop) (#186)

P6: discover_gpus() used line.split(',', 3) to parse nvidia-smi CSV output.
    If the GPU name contains a comma (e.g. 'Tesla, Inc. V100'), split produces
    more than 4 fields, the int() parse fails on the wrong field, and the GPU
    is silently dropped — doctor reports 'no NVIDIA device detected' with no
    clue why. Fixed by using the csv module (handles quoted fields correctly).

P7: require_auth() used plain string != comparison for the API key
    ('Authorization' header vs expected 'Bearer <key>'). This enables a
    timing side-channel that could leak the key byte-by-byte. Low impact when
    bound to localhost (default), but serve() only warns when host is
    non-localhost without a key, and users do expose on 0.0.0.0. Fixed by
    using hmac.compare_digest (constant-time comparison).

Co-authored-by: woolcoxm <13604288+woolcoxm@users.noreply.github.com>

c/openai_server.py

@@ -672,9 +672,13 @@ class APIHandler(BaseHTTPRequestHandler):
             self.send_header("Vary", "Origin")
 
     def require_auth(self):
-        if self.server.api_key and self.headers.get("Authorization") != f"Bearer {self.server.api_key}":
+        if self.server.api_key:
-            raise APIError(401, "Invalid or missing API key.", None, "invalid_api_key",
+            import hmac
-                           "authentication_error")
+            provided = self.headers.get("Authorization", "")
+            expected = f"Bearer {self.server.api_key}"
+            if not hmac.compare_digest(provided, expected):
+                raise APIError(401, "Invalid or missing API key.", None, "invalid_api_key",
+                               "authentication_error")
 
     def read_json(self):
         try:

c/resource_plan.py

@@ -151,8 +151,9 @@ def discover_gpus():
     except (OSError, subprocess.SubprocessError):
         return []
     devices = []
-    for line in result.stdout.splitlines():
+    import csv
-        fields = [field.strip() for field in line.split(",", 3)]
+    for fields in csv.reader(result.stdout.splitlines()):
+        fields = [f.strip() for f in fields]
         if len(fields) != 4:
             continue
         try: