Use LOCAL_IMAGE_NAME per spec

inference.py

@@ -8,7 +8,7 @@ Required environment variables:
     API_BASE_URL   The LLM endpoint (OpenAI-compatible)
     MODEL_NAME     The model id to use
     HF_TOKEN       API key for the LLM provider
-    IMAGE_NAME     (optional) Docker image for the env server
+    LOCAL_IMAGE_NAME     (optional) Docker image for the env server
                    Default: disk-panic:latest
 
 Stdout format (one per episode):
@@ -33,7 +33,7 @@ except ImportError:
 
 # -- config ----------------------------------------------------------------
 
-IMAGE_NAME = os.getenv("IMAGE_NAME", "disk-panic:latest")
+LOCAL_IMAGE_NAME = os.getenv("LOCAL_IMAGE_NAME", "disk-panic:latest")
 API_KEY = os.getenv("HF_TOKEN") or os.getenv("API_KEY")
 API_BASE_URL = os.getenv("API_BASE_URL") or "https://api.groq.com/openai/v1"
 MODEL_NAME = os.getenv("MODEL_NAME") or "llama-3.3-70b-versatile"
@@ -218,7 +218,7 @@ async def run_episode(client: OpenAI, env: DiskPanicEnv, task: str) -> float:
 
 async def main() -> None:
     client = OpenAI(base_url=API_BASE_URL, api_key=API_KEY)
-    env = await DiskPanicEnv.from_docker_image(IMAGE_NAME)
+    env = await DiskPanicEnv.from_docker_image(LOCAL_IMAGE_NAME)
     try:
         for task in TASKS:
             await run_episode(client, env, task)