Update Render build configuration: fix deps, force py3.11, add build script

backend/services/intelligence/agents/specialized/content_guardian.py

@@ -0,0 +1,66 @@
+"""
+Content Guardian Agent implementation.
+"""
+from typing import List, Dict, Any, Optional
+from datetime import datetime
+from loguru import logger
+from .base import SIFBaseAgent, TXTAI_AVAILABLE, Agent
+from services.intelligence.agents.core_agent_framework import TaskProposal
+from services.intelligence.txtai_service import TxtaiIntelligenceService
+
+class ContentGuardianAgent(SIFBaseAgent):
+    """Agent for monitoring brand consistency and quality."""
+    
+    def __init__(self, intelligence_service: TxtaiIntelligenceService, user_id: str, **kwargs):
+        # Pass kwargs to superclass to handle 'task' and other framework arguments
+        super().__init__(intelligence_service, user_id, agent_type="content_guardian", **kwargs)
+
+    async def _create_txtai_agent(self):
+        """Create a specialized txtai Agent for content review."""
+        if not TXTAI_AVAILABLE or Agent is None:
+            return None
+        
+        try:
+            _llm_for_agent = getattr(self.llm, "llm", self.llm)
+            return Agent(
+                tools=[
+                    {
+                        "name": "brand_voice_checker",
+                        "description": "Checks content against brand voice guidelines",
+                        "target": self._check_brand_voice
+                    }
+                ],
+                llm=_llm_for_agent,
+                max_iterations=3
+            )
+        except Exception as e:
+            logger.error(f"Failed to create txtai agent for ContentGuardian: {e}")
+            raise e
+        
+    def _check_brand_voice(self, content: str) -> Dict[str, Any]:
+        """Tool to check brand voice consistency."""
+        # This would use semantic search to compare against brand guidelines
+        return {
+            "consistent": True,
+            "score": 0.95,
+            "notes": "Content aligns with professional/authoritative tone."
+        }
+
+    async def propose_daily_tasks(self, context: Dict[str, Any]) -> List[TaskProposal]:
+        """Propose quality assurance tasks."""
+        proposals = []
+        
+        # 1. Content Freshness Audit
+        proposals.append(TaskProposal(
+            title="Audit Old Content",
+            description="Review top performing posts from >6 months ago for updates.",
+            pillar_id="create",
+            priority="low",
+            estimated_time=30,
+            source_agent="ContentGuardianAgent",
+            reasoning="Maintains content relevance and authority.",
+            action_type="navigate",
+            action_url="/content-planning-dashboard"
+        ))
+        
+        return proposals