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inference.py

@@ -56,7 +56,10 @@ async def get_model_code(prompt: str, client: OpenAI) -> str:
             text = text.split("```rust")[1].split("```")[0]
         elif "```" in text:
             text = text.split("```")[1].split("```")[0]
-        return text.strip()
+        text = text.strip()
+        if not text:
+            return "// Error: empty response (no code returned)."
+        return text
     except Exception as e:
         print(f"[DEBUG] LLM Request failed: {e}", flush=True)
         return f"// Error: {e}"

server/rust_coder_environment.py

@@ -102,7 +102,7 @@ class RustCoderEnvironment(Environment):
 
         return RustCoderObservation(
             problem_description=problem["description"],
-            starter_code=problem["starter_code"],
+            starter_code=problem.get("starter_code", ""),
             compilation_success=False,
             compilation_output="",
             test_results=[],
@@ -195,7 +195,7 @@ class RustCoderEnvironment(Environment):
         if not done:
             next_prob = self.problems[self.current_problem_idx]
             next_prob_desc = f"--- NEXT TASK: {next_prob['title']} ---\n\n{next_prob['description']}"
-            next_starter = next_prob['starter_code']
+            next_starter = next_prob.get("starter_code", "")
 
         return RustCoderObservation(
             problem_description=next_prob_desc,