Clean: remove all AMD Gateway references, use only OpenAI client with HF_TOKEN

.env.example

@@ -1,11 +1,7 @@
-# LLM Configuration (required by hackathon evaluator)
+# LLM Configuration (required)
 API_BASE_URL=https://router.huggingface.co/v1
 MODEL_NAME=gpt-4.1-mini
 HF_TOKEN=hf_your_token_here
 
 # Environment server
 ENV_URL=http://localhost:7860
-
-# AMD LLM Gateway (local development only — overrides API_BASE_URL when set)
-# AMD_LLM_API_KEY=your-ocp-apim-subscription-key-here
-# AMD_GATEWAY_BASE=https://llm-api.amd.com/openai

.gitignore

@@ -10,3 +10,4 @@ venv/
 *.sqlite
 *.db
 .DS_Store
+.cursor/

inference.py

@@ -5,14 +5,13 @@ Baseline inference script for DataDetective.
 Uses an LLM via the OpenAI-compatible API to investigate each task by
 running SQL queries and submitting a final analysis.
 
-Required environment variables (set by hackathon evaluator):
+Required environment variables:
   API_BASE_URL  — LLM endpoint (e.g. https://router.huggingface.co/v1)
   MODEL_NAME    — model identifier (e.g. gpt-4.1-mini)
   HF_TOKEN      — API key / Hugging Face token
 
 Optional:
   ENV_URL       — DataDetective server URL (default http://localhost:7860)
-  AMD_LLM_API_KEY — If set, uses AMD Gateway instead (local dev only)
 """
 
 import asyncio
@@ -22,7 +21,7 @@ import re
 import sys
 import time
 
-from openai import AzureOpenAI, OpenAI
+from openai import OpenAI
 
 import websockets.asyncio.client as _wsc
 _orig_ws_connect = _wsc.connect
@@ -44,7 +43,6 @@ from openenv.core.generic_client import GenericEnvClient
 API_BASE_URL = os.environ.get("API_BASE_URL", "https://router.huggingface.co/v1")
 MODEL_NAME = os.environ.get("MODEL_NAME", "gpt-4.1-mini")
 HF_TOKEN = os.environ.get("HF_TOKEN") or os.environ.get("API_KEY", "")
-AMD_LLM_API_KEY = os.environ.get("AMD_LLM_API_KEY", "")
 ENV_URL = os.environ.get("ENV_URL", "http://localhost:7860").rstrip("/")
 
 BENCHMARK = "data_detective"
@@ -64,23 +62,13 @@ TASK_IDS = [
 
 
 def _build_llm_client() -> OpenAI:
-    if AMD_LLM_API_KEY:
-        return AzureOpenAI(
-            api_key="dummy",
-            api_version="2024-02-01",
-            base_url=os.environ.get("AMD_GATEWAY_BASE", "https://llm-api.amd.com/openai"),
-            default_headers={"Ocp-Apim-Subscription-Key": AMD_LLM_API_KEY},
+    if not HF_TOKEN:
+        print(
+            "ERROR: Set HF_TOKEN (or API_KEY) for LLM access. Exiting.",
+            file=sys.stderr,
         )
-
-    if HF_TOKEN:
-        return OpenAI(base_url=API_BASE_URL, api_key=HF_TOKEN)
-
-    print(
-        "ERROR: Set HF_TOKEN (or API_KEY) for LLM access, "
-        "or AMD_LLM_API_KEY for AMD Gateway. Exiting.",
-        file=sys.stderr,
-    )
-    sys.exit(1)
+        sys.exit(1)
+    return OpenAI(base_url=API_BASE_URL, api_key=HF_TOKEN)
 
 
 llm = _build_llm_client()