added guardrails.py to constrain responses and added validation to config.py
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"""Serve-time output guardrails for retrieval confidence and answer citations."""
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from __future__ import annotations
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import re
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from dataclasses import dataclass
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from typing import TYPE_CHECKING
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if TYPE_CHECKING:
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from python.ebook_search.config import EbookSearchConfig
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from python.ebook_search.search import SearchResult
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CITATION_RE = re.compile(r"\[(\d+)\]")
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def retrieval_confidence(results: list[SearchResult]) -> float:
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"""Return the strongest interpretable relevance signal of the top result.
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Reciprocal-rank-fusion scores are rank-based and not comparable across queries,
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so the rerank relevance score is preferred, then vector cosine similarity, then
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the final score.
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"""
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if not results:
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return 0.0
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top = results[0]
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if top.rerank_score is not None:
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return top.rerank_score
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if top.vector_score is not None:
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return top.vector_score
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return top.score
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def is_confident(results: list[SearchResult], config: EbookSearchConfig) -> bool:
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"""Return whether top-result confidence meets the configured threshold."""
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return retrieval_confidence(results) >= config.min_retrieval_confidence
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@dataclass(frozen=True)
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class CitationReport:
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"""Validation summary for bracketed citation markers in a generated answer."""
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cited: tuple[int, ...]
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invalid: tuple[int, ...]
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grounded: bool
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def validate_citations(answer: str, result_count: int) -> CitationReport:
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"""Validate bracketed citation markers against the number of shown sources.
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A marker is valid when it points to a returned source (``1..result_count``).
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``grounded`` is true when the answer cites at least one valid source.
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"""
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markers = sorted({int(match.group(1)) for match in CITATION_RE.finditer(answer)})
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valid = range(1, result_count + 1)
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cited = tuple(marker for marker in markers if marker in valid)
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invalid = tuple(marker for marker in markers if marker not in valid)
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return CitationReport(cited=cited, invalid=invalid, grounded=bool(cited))
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