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"""
评测器:给定一份 system prompt,在用例集上运行 Agent 并判定每个用例是否被"正确处理"
判定规则(结合确定性规则 + LLM-as-judge):
- 用例标注了 should_transfer(正确行为是否应转接人工)。
- 若 should_transfer=True 正确 ⇔ Agent 确实转接了。
- 若 should_transfer=False 正确 ⇔ Agent 没有转接,且 LLM 裁判确认它按 rubric 妥善处理了请求
(即真的解释了政策 / 办理了业务,而不是敷衍或答非所问)。
之所以对"不转接"再加一道 LLM 裁判,是为了防止 Agent 只是"没转接但也没好好处理"蒙混过关。
"""
import json
from config import get_client, get_model, get_temperature, record_completion
from airline_env import run_agent
def _judge_handled(user_message: str, rubric: str, agent_reply: str) -> dict:
"""LLM-as-judgeAgent 没转接的情况下,是否按 rubric 妥善处理了请求。"""
client = get_client()
model = get_model()
prompt = f"""你是严格的客服质检员。请判断客服 Agent 的回复是否妥善处理了乘客请求。
【乘客请求】
{user_message}
【合格标准(rubric)】
{rubric}
【Agent 的回复】
{agent_reply}
请只输出一个 JSON{{"handled": true 或 false, "reason": "简短理由"}}
其中 handled=true 表示 Agent 的回复实质满足了合格标准。"""
resp = record_completion(client, kind="llm_judge",
model=model,
messages=[{"role": "user", "content": prompt}],
temperature=get_temperature(),
response_format={"type": "json_object"},
)
try:
verdict = json.loads(resp.choices[0].message.content)
return {
"handled": bool(verdict.get("handled", False)),
"reason": str(verdict.get("reason", "")),
}
except (json.JSONDecodeError, TypeError):
return {"handled": False, "reason": "judge returned invalid JSON"}
def evaluate_case(system_prompt: str, case: dict, verbose: bool = False) -> dict:
"""评测单个用例,返回结果 dict。"""
result = run_agent(system_prompt, case["user"])
transferred = result["transferred"]
should_transfer = case["should_transfer"]
handled = None
if should_transfer:
correct = transferred
note = "应转接:" + ("已转接 ✓" if transferred else "未转接 ✗")
else:
if transferred:
correct = False
note = "不应转接:却转接了 ✗(过度转接)"
else:
judge = _judge_handled(case["user"], case["rubric"], result["final_text"])
handled = judge["handled"]
judge_reason = judge["reason"]
correct = handled
note = "不应转接:未转接且妥善处理 ✓" if handled else "不应转接:未转接但处理不当 ✗"
out = {
"id": case["id"],
"group": case["group"],
"correct": correct,
"transferred": transferred,
"should_transfer": should_transfer,
"note": note,
"final_text": result["final_text"],
"transfer_reason": result["transfer_reason"],
"tool_calls": result["tool_calls"],
"handled": handled,
"judge_reason": locals().get("judge_reason"),
"rubric": case["rubric"],
"user": case["user"],
}
if verbose:
icon = "" if correct else ""
print(f" [{icon}] {case['id']:<16} {note}")
if transferred:
print(f" 转接原因: {result['transfer_reason']}")
else:
preview = (result["final_text"] or "").replace("\n", " ")[:80]
print(f" 回复: {preview}...")
return out
def evaluate_prompt(system_prompt: str, label: str = "", verbose: bool = True, cases=None) -> dict:
"""在全部用例上评测一份 prompt,返回分组正确率与明细。
cases 为 None 时评测全部用例;也可传入用例子集(如 --quick 模式)以控制成本。
"""
from airline_env import CASES
if cases is None:
cases = CASES
if verbose and label:
print(f"\n>>> 评测 [{label}]")
results = []
for case in cases:
results.append(evaluate_case(system_prompt, case, verbose=verbose))
def _acc(group):
rows = [r for r in results if r["group"] == group]
n = len(rows)
c = sum(1 for r in rows if r["correct"])
return c, n
holdout_c, holdout_n = _acc("holdout")
boundary_c, boundary_n = _acc("boundary")
return {
"label": label,
"holdout": (holdout_c, holdout_n),
"boundary": (boundary_c, boundary_n),
"results": results,
}