updated

llm/client.py

@@ -52,8 +52,8 @@ class OpenAIClient:
             except Exception as exc:  # pragma: no cover - network call
                 last_error = exc
                 if _is_rate_limit_error(exc):
-                    # User indicated ~3 req/min; wait ~20s before retrying.
-                    wait_time = max(delay, 20.0)
+                    # User indicated ~3 req/min; wait a full 60s to be safe.
+                    wait_time = 60.0
                     logger.warning(
                         "OpenAI rate limit encountered (attempt %s). Waiting %.1fs",
                         attempt + 1,

scripts/openai_smoke.py

@@ -0,0 +1,37 @@
+"""
+Minimal one-call smoke test to verify OpenAI API access.
+
+Usage:
+  export OPENAI_API_KEY=your_key
+  uv run python scripts/openai_smoke.py --model gpt-4o-mini
+"""
+import argparse
+import os
+import sys
+from pathlib import Path
+
+# Ensure repository root is on sys.path for local execution.
+ROOT = Path(__file__).resolve().parents[1]
+if str(ROOT) not in sys.path:
+    sys.path.insert(0, str(ROOT))
+
+from llm.client import OpenAIClient
+
+
+def main():
+    parser = argparse.ArgumentParser(description="OpenAI API smoke test (single call).")
+    parser.add_argument("--model", default="gpt-4o-mini", help="Model name to test.")
+    args = parser.parse_args()
+
+    api_key = os.getenv("OPENAI_API_KEY")
+    if not api_key:
+        raise SystemExit("Set OPENAI_API_KEY before running this script.")
+
+    client = OpenAIClient(api_key=api_key, model=args.model)
+    prompt = "Say a short greeting with exactly 3 words."
+    resp = client.chat(prompt, max_retries=1)
+    print("Response:", resp)
+
+
+if __name__ == "__main__":
+    main()