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import re
from dataclasses import dataclass, field
from typing import Any
from elbench.schemas.evaluation import ModelResponse, Sample
from elbench.utils import extract_choice_answer
class ResponseFormatError(ValueError):
def __init__(self, message: str, *, metadata: dict[str, Any] | None = None) -> None:
super().__init__(message)
self.metadata = metadata or {}
@dataclass(slots=True)
class ResponseFormatSpec:
name: str
instruction: str
reminder_template: str
valid_letters: list[str] = field(default_factory=list)
answer_prefixes: list[str] = field(default_factory=list)
require_last_line_exact: bool = True
allow_multiple: bool = False
def validate(self, response_text: str | None) -> dict[str, Any]:
text = (response_text or "").strip()
if not text:
raise ResponseFormatError(
"Model response is empty.",
metadata={"format_name": self.name, "expected_format": self.instruction},
)
answer = self._extract_answer(text)
if answer is None:
raise ResponseFormatError(
"Model response does not follow the required answer format.",
metadata={
"format_name": self.name,
"expected_format": self.instruction,
"response_preview": text[:200],
},
)
return {
"format_name": self.name,
"expected_format": self.instruction,
"parsed_answer": answer,
}
def _extract_answer(self, text: str) -> str | None:
if not self.require_last_line_exact:
return None
return extract_choice_answer(
text,
self.valid_letters,
answer_prefixes=self.answer_prefixes,
allow_multiple=self.allow_multiple,
)
def build_reminder(self, response_text: str | None) -> str:
preview = (response_text or "").strip()
preview = re.sub(r"\s+", " ", preview)[:200]
if not preview:
return (
"Your previous response was empty or unparsable. "
f"Reply again and output only the final answer line. {self.instruction} "
"Do not leave the answer blank. If unsure, provide your best guess in the required final line."
).strip()
return self.reminder_template.format(
expected_format=self.instruction,
response_preview=preview,
).strip()
def should_force_concise_retry(response: ModelResponse | None) -> bool:
if response is None:
return False
payload = response.raw_payload if isinstance(response.raw_payload, dict) else {}
finish_reason = _first_choice_finish_reason(payload)
if finish_reason != "length":
return False
if (response.text or "").strip():
return True
usage = response.usage if isinstance(response.usage, dict) else {}
completion_tokens = _as_int(usage.get("completion_tokens"))
reasoning_tokens = _as_int((usage.get("completion_tokens_details") or {}).get("reasoning_tokens"))
return reasoning_tokens > 0 and completion_tokens >= 512
def build_retry_followup(
spec: ResponseFormatSpec | None,
response: ModelResponse | None,
) -> dict[str, Any]:
response_text = response.text if response is not None else ""
if spec is None:
return {
"assistant_content": response_text,
"user_reminder": "",
"retry_reason": "format_invalid",
"max_tokens": None,
}
if should_force_concise_retry(response):
return {
"assistant_content": None,
"user_reminder": (
"Your previous response used up the output budget before giving the final answer. "
"Do not include any reasoning, explanation, or thinking. "
f"Reply with exactly one final answer line only. {spec.instruction}"
).strip(),
"retry_reason": "format_empty_after_reasoning",
"max_tokens": 64,
}
return {
"assistant_content": response_text,
"user_reminder": spec.build_reminder(response_text),
"retry_reason": "format_invalid",
"max_tokens": None,
}
def build_concise_retry_prompt(base_prompt: str, spec: ResponseFormatSpec | None) -> str:
if spec is not None and spec.name in {"single_choice_en", "single_choice_cn"}:
return _build_choice_only_retry_prompt(base_prompt, spec)
lines = []
for line in base_prompt.splitlines():
lowered = line.lower()
if "think step by step" in lowered or "逐步思考" in line:
continue
lines.append(line)
prompt = "\n".join(lines).rstrip()
instruction = spec.instruction if spec is not None else "Output only the final answer."
return (
"CRITICAL OUTPUT RULE: Your entire response must be exactly one answer line. "
"Do not include reasoning, explanation, calculations, restatement, markdown, or any extra text.\n"
f"{instruction}\n\n"
f"{prompt}\n\n"
"FINAL REMINDER: Output exactly one answer line and nothing else. "
f"{instruction}"
).strip()
def _build_choice_only_retry_prompt(base_prompt: str, spec: ResponseFormatSpec) -> str:
prompt = _strip_reasoning_instructions(base_prompt)
prompt = _last_question_block(prompt)
valid = ",".join(spec.valid_letters) if spec.valid_letters else "A,B,C,D"
if spec.name == "single_choice_cn":
instruction = f"只输出一个大写选项字母({valid}),不要输出推理、解释、标点或其他文字。"
final = "你的答案:"
else:
instruction = (
f"Answer with exactly one uppercase option letter ({valid}) and nothing else. "
"No reasoning, explanation, punctuation, markdown, or extra text."
)
final = "Your answer:"
return f"{instruction}\n\n{prompt}\n\n{final}".strip()
def _strip_reasoning_instructions(prompt: str) -> str:
filtered: list[str] = []
for line in prompt.splitlines():
lowered = line.lower()
if "think step by step" in lowered or "逐步思考" in line or "先逐步思考" in line:
continue
filtered.append(line)
return "\n".join(filtered).strip()
def _last_question_block(prompt: str) -> str:
markers = ["Answer the following multiple choice question.", "问题:", "Question:"]
start = -1
for marker in markers:
index = prompt.rfind(marker)
if index > start:
start = index
if start >= 0:
return prompt[start:].strip()
return prompt.strip()
def get_response_format_spec(sample: Sample) -> ResponseFormatSpec | None:
if sample.task == "mmlu_pro":
return ResponseFormatSpec(
name="single_choice_en",
instruction="The last line must be exactly: ANSWER: [LETTER], where [LETTER] is a valid option letter.",
reminder_template=(
"Your previous response did not follow the required answer format. "
"Reply again. If you include reasoning, still end with exactly one final line: ANSWER: [LETTER]. "
"Do not add any extra text after that final answer line."
),
valid_letters=_choice_letters_from_sample(sample),
answer_prefixes=["ANSWER", "FINAL ANSWER"],
)
if sample.task == "ceval":
return ResponseFormatSpec(
name="single_choice_cn",
instruction="最后一行必须严格是:答案:[LETTER],其中 [LETTER] 是合法选项字母。",
reminder_template=(
"你上一轮回复没有遵守规定格式。请重新回答,最后一行必须严格是:答案:[LETTER]。"
"不要在最后答案行之后添加任何额外文本。"
),
valid_letters=_choice_letters_from_sample(sample),
answer_prefixes=["答案", "最终答案", "ANSWER", "FINAL ANSWER"],
)
if sample.task == "highlevel_omni":
return ResponseFormatSpec(
name="choice_omni",
instruction="最后一行必须严格是:答案:[LETTER(S)],其中 [LETTER(S)] 是 A、B、C、D 中的一个或多个字母。",
reminder_template=(
"你上一轮回复没有遵守规定格式。请重新回答,最后一行必须严格是:答案:[LETTER(S)]。"
"如果有多个正确选项,请连续写出多个字母,例如:答案:AC。"
"不要在最后答案行之后添加任何额外文本。"
),
valid_letters=list("ABCD"),
answer_prefixes=["答案", "最终答案", "ANSWER", "FINAL ANSWER"],
allow_multiple=True,
)
return None
def augment_prompt_for_format(sample: Sample, prompt: str) -> str:
spec = get_response_format_spec(sample)
if spec is None:
return prompt
if spec.instruction in prompt:
return prompt
if sample.task == "mmlu_pro" and "ANSWER: [LETTER]" in prompt:
return prompt
if sample.task == "ceval" and "答案:[LETTER]" in prompt:
return prompt
if sample.task == "highlevel_omni" and "答案:[LETTER]" in prompt:
return prompt
return f"{prompt.rstrip()}\n\n[Answer Format]\n{spec.instruction}"
def attach_format_metadata(response: ModelResponse, spec: ResponseFormatSpec | None) -> ModelResponse:
if spec is None:
response.format_valid = None
return response
if str(response.error or "").strip().lower() in {"content_filter", "invalid_prompt"}:
response.format_valid = False
response.format_metadata = {
"format_name": spec.name,
"expected_format": spec.instruction,
"blocked_by_upstream_filter": True,
"error": response.error,
}
return response
metadata = spec.validate(response.text)
response.format_valid = True
response.format_metadata = metadata
return response
def _choice_letters_from_sample(sample: Sample) -> list[str]:
choices = sample.metadata.get("choices")
if isinstance(choices, list) and choices:
return [chr(65 + index) for index in range(len(choices))]
return list("ABCDEFGHIJ")
def _first_choice_finish_reason(payload: dict[str, Any]) -> str:
choices = payload.get("choices")
if not isinstance(choices, list) or not choices:
return ""
first = choices[0]
if not isinstance(first, dict):
return ""
value = first.get("finish_reason")
return "" if value in (None, "") else str(value).strip().lower()
def _as_int(value: Any) -> int:
try:
return int(value)
except (TypeError, ValueError):
return 0
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