67 lines
2.6 KiB
Python
67 lines
2.6 KiB
Python
"""
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Content Guardian Agent implementation.
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"""
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from typing import List, Dict, Any, Optional
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from datetime import datetime
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from loguru import logger
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from .base import SIFBaseAgent, TXTAI_AVAILABLE, Agent
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from services.intelligence.agents.core_agent_framework import TaskProposal
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from services.intelligence.txtai_service import TxtaiIntelligenceService
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class ContentGuardianAgent(SIFBaseAgent):
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"""Agent for monitoring brand consistency and quality."""
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def __init__(self, intelligence_service: TxtaiIntelligenceService, user_id: str, **kwargs):
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# Pass kwargs to superclass to handle 'task' and other framework arguments
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super().__init__(intelligence_service, user_id, agent_type="content_guardian", **kwargs)
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async def _create_txtai_agent(self):
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"""Create a specialized txtai Agent for content review."""
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if not TXTAI_AVAILABLE or Agent is None:
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return None
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try:
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_llm_for_agent = getattr(self.llm, "llm", self.llm)
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return Agent(
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tools=[
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{
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"name": "brand_voice_checker",
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"description": "Checks content against brand voice guidelines",
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"target": self._check_brand_voice
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}
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],
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llm=_llm_for_agent,
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max_iterations=3
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)
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except Exception as e:
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logger.error(f"Failed to create txtai agent for ContentGuardian: {e}")
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raise e
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def _check_brand_voice(self, content: str) -> Dict[str, Any]:
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"""Tool to check brand voice consistency."""
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# This would use semantic search to compare against brand guidelines
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return {
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"consistent": True,
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"score": 0.95,
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"notes": "Content aligns with professional/authoritative tone."
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}
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async def propose_daily_tasks(self, context: Dict[str, Any]) -> List[TaskProposal]:
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"""Propose quality assurance tasks."""
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proposals = []
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# 1. Content Freshness Audit
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proposals.append(TaskProposal(
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title="Audit Old Content",
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description="Review top performing posts from >6 months ago for updates.",
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pillar_id="create",
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priority="low",
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estimated_time=30,
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source_agent="ContentGuardianAgent",
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reasoning="Maintains content relevance and authority.",
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action_type="navigate",
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action_url="/content-planning-dashboard"
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))
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return proposals
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