Upload 2 files

agent.py

@@ -137,11 +137,13 @@ class GaiaAgent:
 
         # 2) Self-consistency: N independent CodeAgent runs.
         candidates: list[str] = []
+        last_error: Optional[str] = None
         for i in range(self._n):
             try:
                 raw = self._single_run(question, task_id, attachment_line)
             except Exception as e:
-                print(f"  attempt {i + 1} errored: {e}")
+                last_error = f"{type(e).__name__}: {e}"
+                print(f"  attempt {i + 1} errored: {last_error}")
                 continue
             norm = self._normalize(str(raw))
             print(f"  attempt {i + 1}: {norm!r}")
@@ -149,7 +151,7 @@ class GaiaAgent:
                 candidates.append(norm)
 
         if not candidates:
-            return "AGENT ERROR: no successful attempts"
+            return f"AGENT ERROR: all {self._n} attempts failed. Last error: {last_error}"
 
         # 3) Majority vote on normalized strings (case-insensitive bucket).
         voted = self._vote(candidates)

config.py

@@ -28,8 +28,8 @@ def _env(name: str, default: str) -> str:
 #   - "Qwen/Qwen2.5-72B-Instruct"           (provider="auto")
 #   - "meta-llama/Llama-3.3-70B-Instruct"   (provider="auto")
 #   - "deepseek-ai/DeepSeek-R1-Distill-Llama-70B" (reasoning-tuned)
-AGENT_MODEL_ID = _env("AGENT_MODEL_ID", "deepseek-ai/DeepSeek-V3-0324")
-AGENT_PROVIDER = _env("AGENT_PROVIDER", "together")
+AGENT_MODEL_ID = _env("AGENT_MODEL_ID", "Qwen/Qwen2.5-72B-Instruct")
+AGENT_PROVIDER = _env("AGENT_PROVIDER", "auto")
 AGENT_MAX_TOKENS = int(_env("AGENT_MAX_TOKENS", "4096"))
 
 # ---------------------------------------------------------------------------