Setup bench and use coding plan

.gitignore

@@ -1 +1,5 @@
 .env
+test_results/
+__pycache__/
+*.pyc
+.venv/

agent.py

@@ -42,7 +42,8 @@ class GaiaAgent:
 
         if model.startswith("glm"):
             api_key = SecretStr(secret_value=os.getenv("ZAI_API_KEY") or "")
-            api_base = "https://api.z.ai/api/paas/v4/"
+            # api_base = "https://api.z.ai/api/paas/v4/"
+            api_base = "https://api.z.ai/api/coding/paas/v4/"
         else:
             api_key = SecretStr(secret_value=os.getenv("OPENAI_API_KEY") or "")
             api_base = None

pyproject.toml

@@ -19,4 +19,4 @@ dependencies = [
 ]
 
 [dependency-groups]
-dev = ["ty"]
+dev = ["ty", "datasets"]

test_bench.py

@@ -0,0 +1,243 @@
+"""
+GAIA Test Bench - Local evaluation for your agent
+
+Usage:
+    uv run python test_bench.py                    # Run on 5 random questions
+    uv run python test_bench.py --n 10             # Run on 10 random questions
+    uv run python test_bench.py --level 1          # Run on level 1 only
+    uv run python test_bench.py --level 1 --n 3    # Run on 3 level 1 questions
+    uv run python test_bench.py --all              # Run on all validation questions
+"""
+
+import argparse
+import json
+import os
+import re
+from dataclasses import dataclass
+from datetime import datetime
+from pathlib import Path
+
+from datasets import load_dataset
+from dotenv import load_dotenv
+from huggingface_hub import snapshot_download
+
+load_dotenv()
+
+
+@dataclass
+class TestResult:
+    task_id: str
+    question: str
+    expected: str
+    actual: str
+    correct: bool
+    level: int
+
+
+def normalize_answer(answer: str) -> str:
+    """Normalize answer for comparison."""
+    if not answer:
+        return ""
+    # Lowercase, strip whitespace, remove punctuation at end
+    ans = answer.lower().strip()
+    ans = re.sub(r"[.,;:!?]+$", "", ans)
+    return ans
+
+
+def answers_match(expected: str, actual: str) -> bool:
+    """Check if answers match (with some flexibility)."""
+    exp = normalize_answer(expected)
+    act = normalize_answer(actual)
+
+    # Exact match
+    if exp == act:
+        return True
+
+    # Check if expected is contained in actual (for verbose answers)
+    if exp in act:
+        return True
+
+    # Try numeric comparison
+    try:
+        exp_num = float(re.sub(r"[^\d.-]", "", exp))
+        act_num = float(re.sub(r"[^\d.-]", "", act))
+        if abs(exp_num - act_num) < 0.01:
+            return True
+    except (ValueError, TypeError):
+        pass
+
+    return False
+
+
+def load_gaia_data(level: int | None = None) -> list[dict]:
+    """Load GAIA validation dataset."""
+    print("Downloading GAIA dataset...")
+    data_dir = snapshot_download(repo_id="gaia-benchmark/GAIA", repo_type="dataset")
+
+    questions = []
+
+    levels = [level] if level else [1, 2, 3]
+    for lvl in levels:
+        try:
+            dataset = load_dataset(data_dir, f"2023_level{lvl}", split="validation")
+            for example in dataset:
+                questions.append(
+                    {
+                        "task_id": example.get("task_id", ""),
+                        "question": example.get("Question", ""),
+                        "answer": example.get("Final answer", ""),
+                        "level": lvl,
+                        "file_name": example.get("file_name", ""),
+                        "file_path": (
+                            os.path.join(data_dir, example.get("file_path", ""))
+                            if example.get("file_path")
+                            else None
+                        ),
+                    }
+                )
+        except Exception as e:
+            print(f"Warning: Could not load level {lvl}: {e}")
+
+    print(f"Loaded {len(questions)} questions")
+    return questions
+
+
+def run_test_bench(
+    agent,
+    n_questions: int | None = 5,
+    level: int | None = None,
+    run_all: bool = False,
+    save_results: bool = True,
+) -> list[TestResult]:
+    """
+    Run the test bench on the agent.
+
+    Args:
+        agent: The agent to test (callable that takes question string)
+        n_questions: Number of questions to test (None for all)
+        level: Filter by difficulty level (1, 2, or 3)
+        run_all: If True, run on all questions
+        save_results: Save results to JSON file
+
+    Returns:
+        List of TestResult objects
+    """
+    import random
+
+    questions = load_gaia_data(level=level)
+
+    if not run_all and n_questions and n_questions < len(questions):
+        questions = random.sample(questions, n_questions)
+
+    results: list[TestResult] = []
+    correct_count = 0
+
+    print(f"\n{'='*60}")
+    print(f"Running {len(questions)} questions...")
+    print("=" * 60)
+
+    for i, q in enumerate(questions, 1):
+        print(f"\n[{i}/{len(questions)}] Level {q['level']}: {q['question'][:80]}...")
+
+        try:
+            actual = agent(q["question"])
+        except Exception as e:
+            actual = f"ERROR: {e}"
+
+        is_correct = answers_match(q["answer"], actual)
+        if is_correct:
+            correct_count += 1
+
+        result = TestResult(
+            task_id=q["task_id"],
+            question=q["question"],
+            expected=q["answer"],
+            actual=actual,
+            correct=is_correct,
+            level=q["level"],
+        )
+        results.append(result)
+
+        status = "CORRECT" if is_correct else "WRONG"
+        print(f"  Expected: {q['answer']}")
+        print(f"  Got:      {actual[:100]}...")
+        print(f"  Status:   {status}")
+
+    # Summary
+    print(f"\n{'='*60}")
+    print("SUMMARY")
+    print("=" * 60)
+    print(f"Total:   {len(results)}")
+    print(f"Correct: {correct_count}")
+    print(f"Accuracy: {correct_count/len(results)*100:.1f}%")
+
+    # Per-level breakdown
+    for lvl in [1, 2, 3]:
+        lvl_results = [r for r in results if r.level == lvl]
+        if lvl_results:
+            lvl_correct = sum(1 for r in lvl_results if r.correct)
+            print(
+                f"  Level {lvl}: {lvl_correct}/{len(lvl_results)} ({lvl_correct/len(lvl_results)*100:.1f}%)"
+            )
+
+    # Save results
+    if save_results:
+        results_dir = Path("test_results")
+        results_dir.mkdir(exist_ok=True)
+
+        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+        results_file = results_dir / f"results_{timestamp}.json"
+
+        with open(results_file, "w") as f:
+            json.dump(
+                {
+                    "timestamp": timestamp,
+                    "total": len(results),
+                    "correct": correct_count,
+                    "accuracy": correct_count / len(results),
+                    "results": [
+                        {
+                            "task_id": r.task_id,
+                            "level": r.level,
+                            "question": r.question,
+                            "expected": r.expected,
+                            "actual": r.actual,
+                            "correct": r.correct,
+                        }
+                        for r in results
+                    ],
+                },
+                f,
+                indent=2,
+            )
+        print(f"\nResults saved to: {results_file}")
+
+    return results
+
+
+def main():
+    parser = argparse.ArgumentParser(description="GAIA Test Bench")
+    parser.add_argument("--n", type=int, default=5, help="Number of questions to test")
+    parser.add_argument("--level", type=int, choices=[1, 2, 3], help="Filter by level")
+    parser.add_argument("--all", action="store_true", help="Run all questions")
+    parser.add_argument("--no-save", action="store_true", help="Don't save results")
+    args = parser.parse_args()
+
+    from agent import BasicAgent
+
+    if callable(BasicAgent) and not hasattr(BasicAgent, "__call__"):
+        agent = BasicAgent(question="")
+    else:
+        agent = BasicAgent
+
+    run_test_bench(
+        agent=agent,
+        n_questions=args.n,
+        level=args.level,
+        run_all=args.all,
+        save_results=not args.no_save,
+    )
+
+
+if __name__ == "__main__":
+    main()

uv.lock

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 ]
 
+[[package]]
+name = "datasets"
+version = "4.4.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "dill" },
+    { name = "filelock" },
+    { name = "fsspec", extra = ["http"] },
+    { name = "httpx" },
+    { name = "huggingface-hub" },
+    { name = "multiprocess" },
+    { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
+    { name = "numpy", version = "2.4.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "packaging" },
+    { name = "pandas" },
+    { name = "pyarrow" },
+    { name = "pyyaml" },
+    { name = "requests" },
+    { name = "tqdm" },
+    { name = "xxhash" },
+]
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+]
+
 [[package]]
 name = "distro"
 version = "1.9.0"
@@ -496,6 +531,7 @@ dependencies = [
 
 [package.dev-dependencies]
 dev = [
+    { name = "datasets" },
     { name = "ty" },
 ]
 
@@ -515,7 +551,10 @@ requires-dist = [
 ]
 
 [package.metadata.requires-dev]
-dev = [{ name = "ty" }]
+dev = [
+    { name = "datasets" },
+    { name = "ty" },
+]
 
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