mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2026-06-17 23:09:35 +00:00
d8bb836614
Add revenue discovery APIs/services, launch verification gates, CI quality checks, and frontend E2E/docs updates to prepare the branch for production go-live. Made-with: Cursor
62 lines
1.8 KiB
Python
62 lines
1.8 KiB
Python
"""Structured outputs for revenue discovery / lead exploration with provenance."""
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from __future__ import annotations
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from typing import Any, Literal
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from pydantic import BaseModel, Field
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class ProvenanceEntry(BaseModel):
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"""Source attribution for a field or block (audit-friendly)."""
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field_path: str
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source: Literal[
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"user_input",
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"llm_groq",
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"vertical_playbook_static",
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"licensed_web_search",
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"knowledge_rag",
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"derived",
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"unavailable",
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]
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detail: str = Field(default="", description="Provider name, model id, or note")
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class MarketSignalItem(BaseModel):
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title: str
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summary: str
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implication_ar: str = ""
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class ICPBuyingCommitteeHint(BaseModel):
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role_ar: str
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role_en: str = ""
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rationale_ar: str = ""
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class ExplorationEnrichment(BaseModel):
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"""Enrichment block stored under Lead.extra_metadata['revenue_discovery'] when persisted."""
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vertical_playbook_id: str | None = None
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playbook_label_ar: str | None = None
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icp_summary_ar: str = ""
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icp_summary_en: str = ""
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market_signals: list[MarketSignalItem] = Field(default_factory=list)
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buying_committee_hints: list[ICPBuyingCommitteeHint] = Field(default_factory=list)
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partnership_angle_ar: str = ""
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rag_playbook_refs: list[str] = Field(
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default_factory=list,
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description="Static playbook section keys or titles used (not full RAG chunks)",
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)
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provenance: list[ProvenanceEntry] = Field(default_factory=list)
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model_id: str | None = None
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feature_flags_used: dict[str, bool] = Field(default_factory=dict)
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class LeadExplorationPersistMeta(BaseModel):
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"""Shape recommended for merging into Lead.extra_metadata."""
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revenue_discovery: dict[str, Any]
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provenance_index: list[ProvenanceEntry] = Field(default_factory=list)
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