mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
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58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
"""
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Dealix Copilot — the conversational layer over the Revenue OS.
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User asks "وش أسوي اليوم؟" → intent router → answer engine pulls from
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Revenue Memory + Revenue Graph + Market Radar → renders Arabic answer
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with optional action buttons (each gated by the same orchestrator
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policies as autonomous workflows).
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Public API:
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from auto_client_acquisition.copilot import (
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Intent, ask, propose_actions,
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)
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"""
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from auto_client_acquisition.copilot.intent_router import (
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Intent,
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classify_intent,
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list_intents,
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)
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from auto_client_acquisition.copilot.answer_engine import (
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CopilotAnswer,
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answer,
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explain_metric,
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)
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from auto_client_acquisition.copilot.safe_actions import (
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SAFE_ACTIONS,
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SafeAction,
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propose_actions,
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)
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__all__ = [
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"Intent",
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"classify_intent",
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"list_intents",
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"CopilotAnswer",
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"answer",
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"explain_metric",
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"SAFE_ACTIONS",
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"SafeAction",
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"propose_actions",
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]
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# Convenience high-level entry point
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def ask(*, question_ar: str, customer_id: str, context: dict | None = None):
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"""One-call entry — classifies intent, builds answer, proposes actions."""
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intent = classify_intent(question_ar)
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ans = answer(intent=intent, question_ar=question_ar, customer_id=customer_id, context=context or {})
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actions = propose_actions(intent=intent, customer_id=customer_id, context=context or {})
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return {
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"intent": intent.intent_id,
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"answer_ar": ans.answer_ar,
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"citations": ans.citations,
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"confidence": ans.confidence,
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"follow_up_questions": ans.follow_up_questions,
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"proposed_actions": [a.to_dict() for a in actions],
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}
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