feat(citations): add per-claim citations to AI briefs
LLM prompts updated to output {text, citation, quote} objects for every
key_point and risk. govinfo_url stored on BillBrief (migration 0006) so
the frontend can link directly to the source document without an extra
query. AIBriefCard renders § citation chips that expand inline to show
the verbatim quote and a View source → GovInfo link. Old plain-string
briefs continue to render unchanged.
Authored-By: Jack Levy
This commit is contained in:
21
backend/alembic/versions/0006_add_brief_govinfo_url.py
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21
backend/alembic/versions/0006_add_brief_govinfo_url.py
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@@ -0,0 +1,21 @@
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"""add govinfo_url to bill_briefs
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Revision ID: 0006
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Revises: 0005
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Create Date: 2026-02-28
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"""
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import sqlalchemy as sa
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from alembic import op
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revision = "0006"
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down_revision = "0005"
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branch_labels = None
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depends_on = None
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def upgrade():
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op.add_column("bill_briefs", sa.Column("govinfo_url", sa.String(), nullable=True))
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def downgrade():
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op.drop_column("bill_briefs", "govinfo_url")
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@@ -14,12 +14,13 @@ class BillBrief(Base):
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document_id = Column(Integer, ForeignKey("bill_documents.id", ondelete="SET NULL"), nullable=True)
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brief_type = Column(String(20), nullable=False, server_default="full") # full | amendment
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summary = Column(Text)
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key_points = Column(JSONB) # list[str]
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risks = Column(JSONB) # list[str]
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key_points = Column(JSONB) # list[{text, citation, quote}]
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risks = Column(JSONB) # list[{text, citation, quote}]
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deadlines = Column(JSONB) # list[{date: str, description: str}]
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topic_tags = Column(JSONB) # list[str]
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llm_provider = Column(String(50))
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llm_model = Column(String(100))
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govinfo_url = Column(String, nullable=True)
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created_at = Column(DateTime(timezone=True), server_default=func.now())
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bill = relationship("Bill", back_populates="briefs")
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@@ -36,12 +36,13 @@ class BriefSchema(BaseModel):
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id: int
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brief_type: str = "full"
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summary: Optional[str] = None
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key_points: Optional[list[str]] = None
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risks: Optional[list[str]] = None
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key_points: Optional[list[Any]] = None
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risks: Optional[list[Any]] = None
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deadlines: Optional[list[dict[str, Any]]] = None
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topic_tags: Optional[list[str]] = None
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llm_provider: Optional[str] = None
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llm_model: Optional[str] = None
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govinfo_url: Optional[str] = None
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created_at: Optional[datetime] = None
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model_config = {"from_attributes": True}
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@@ -21,17 +21,24 @@ without political bias.
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Always respond with valid JSON matching exactly this schema:
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{
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"summary": "2-4 paragraph plain-language summary of what this bill does",
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"key_points": ["specific concrete fact 1", "specific concrete fact 2"],
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"risks": ["legitimate concern or challenge 1", "legitimate concern 2"],
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"key_points": [
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{"text": "specific concrete fact", "citation": "Section X(y)", "quote": "verbatim excerpt from bill ≤80 words"}
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],
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"risks": [
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{"text": "legitimate concern or challenge", "citation": "Section X(y)", "quote": "verbatim excerpt from bill ≤80 words"}
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],
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"deadlines": [{"date": "YYYY-MM-DD or null", "description": "what happens on this date"}],
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"topic_tags": ["healthcare", "taxation"]
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}
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Rules:
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- summary: Explain WHAT the bill does, not whether it is good or bad. Be factual and complete.
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- key_points: 5-10 specific, concrete things the bill changes, authorizes, or appropriates.
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- key_points: 5-10 specific, concrete things the bill changes, authorizes, or appropriates. \
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Each item MUST include "text" (your claim), "citation" (the section number, e.g. "Section 301(a)(2)"), \
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and "quote" (a verbatim excerpt of ≤80 words from that section that supports your claim).
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- risks: Legitimate concerns from any perspective — costs, implementation challenges, \
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constitutional questions, unintended consequences. Include at least 2 even for benign bills.
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constitutional questions, unintended consequences. Include at least 2 even for benign bills. \
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Each item MUST include "text", "citation", and "quote" just like key_points.
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- deadlines: Only include if explicitly stated in the text. Use null for date if a deadline \
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is mentioned without a specific date. Empty list if none.
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- topic_tags: 3-8 lowercase tags. Prefer these standard tags: healthcare, taxation, defense, \
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@@ -49,8 +56,8 @@ TOKENS_PER_CHAR = 0.25 # rough approximation: 4 chars ≈ 1 token
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@dataclass
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class ReverseBrief:
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summary: str
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key_points: list[str]
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risks: list[str]
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key_points: list[dict]
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risks: list[dict]
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deadlines: list[dict]
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topic_tags: list[str]
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llm_provider: str
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@@ -82,16 +89,23 @@ and you must summarize what changed between the previous and new version.
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Always respond with valid JSON matching exactly this schema:
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{
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"summary": "2-3 paragraph plain-language description of what changed in this version",
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"key_points": ["specific change 1", "specific change 2"],
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"risks": ["new concern introduced by this change 1", "concern 2"],
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"key_points": [
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{"text": "specific change", "citation": "Section X(y)", "quote": "verbatim excerpt from new version ≤80 words"}
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],
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"risks": [
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{"text": "new concern introduced by this change", "citation": "Section X(y)", "quote": "verbatim excerpt from new version ≤80 words"}
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],
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"deadlines": [{"date": "YYYY-MM-DD or null", "description": "new deadline added"}],
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"topic_tags": ["healthcare", "taxation"]
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}
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Rules:
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- summary: Focus ONLY on what is different from the previous version. Be specific.
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- key_points: List concrete additions, removals, or modifications in this version.
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- risks: Only include risks that are new or changed relative to the previous version.
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- key_points: List concrete additions, removals, or modifications in this version. \
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Each item MUST include "text" (your claim), "citation" (the section number, e.g. "Section 301(a)(2)"), \
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and "quote" (a verbatim excerpt of ≤80 words from the NEW version that supports your claim).
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- risks: Only include risks that are new or changed relative to the previous version. \
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Each item MUST include "text", "citation", and "quote" just like key_points.
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- deadlines: Only new or changed deadlines. Empty list if none.
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- topic_tags: Same standard tags as before — include any new topics this version adds.
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@@ -86,6 +86,7 @@ def process_document_with_llm(self, document_id: int):
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topic_tags=brief.topic_tags,
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llm_provider=brief.llm_provider,
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llm_model=brief.llm_model,
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govinfo_url=doc.govinfo_url,
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)
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db.add(db_brief)
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db.commit()
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