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ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
2026-08-20 13:12:50 +00:00

56 lines
2.1 KiB
Python

#!/usr/bin/env python3
"""Run and persist a live Experiment 6-3 structured-rubric validation."""
import argparse
import json
import time
from pathlib import Path
from evaluator import LLMEvaluator
from framework import UserMemoryEvaluationFramework
def main() -> int:
parser = argparse.ArgumentParser()
parser.add_argument("--test-id", default="layer1_01_bank_account")
parser.add_argument("--answer", required=True)
parser.add_argument("--evaluator", default="kimi", choices=["kimi", "openai"])
parser.add_argument("--model", default="kimi-k2.5")
parser.add_argument("--output", type=Path, required=True)
args = parser.parse_args()
framework = UserMemoryEvaluationFramework()
test_case = framework.get_test_case(args.test_id)
if test_case is None:
parser.error(f"unknown test id: {args.test_id}")
result = LLMEvaluator(args.evaluator, args.model).evaluate(test_case, args.answer)
evidence = {
"schema_version": "1.0",
"experiment": "6-3",
"generated_at_utc": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()),
"command": (
f"python validate_rubric.py --test-id {args.test_id} --answer <redacted> "
f"--evaluator {args.evaluator} --model {args.model} --output {args.output}"
),
"run_scope": {
"suite_case_count": len(framework.list_test_cases()),
"requested_case_count": 1,
"requested_test_ids": [args.test_id],
"full_60_case_suite_completed": False,
"validation_scope": "smoke",
},
"provider": args.evaluator,
"model": args.model,
"test_id": args.test_id,
"agent_answer": args.answer,
"evaluation": result.model_dump(mode="json"),
}
args.output.parent.mkdir(parents=True, exist_ok=True)
args.output.write_text(json.dumps(evidence, indent=2, ensure_ascii=False), encoding="utf-8")
print(f"Wrote structured rubric evidence to {args.output}")
return 0 if result.dimensions and result.hallucination is not None else 1
if __name__ == "__main__":
raise SystemExit(main())