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

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

@@ -0,0 +1,98 @@
+"""
+Competitor Response Agent implementation.
+"""
+from typing import Dict, Any, List, Optional
+from datetime import datetime
+from loguru import logger
+from .base import SIFBaseAgent, TXTAI_AVAILABLE, Agent
+from services.intelligence.agents.core_agent_framework import BaseALwrityAgent, TaskProposal
+
+try:
+    from services.intelligence.sif_integration import SIFIntegrationService
+    SIF_AVAILABLE = True
+except ImportError:
+    SIF_AVAILABLE = False
+
+class CompetitorResponseAgent(BaseALwrityAgent):
+    """
+    Agent responsible for monitoring competitors and generating counter-strategies.
+    """
+    
+    def __init__(self, user_id: str, shared_llm_name: str, llm: Any = None, **kwargs):
+        super().__init__(user_id, "competitor_analyst", shared_llm_name, llm, **kwargs)
+        
+        self.sif_service = None
+        if SIF_AVAILABLE:
+            try:
+                self.sif_service = SIFIntegrationService(user_id)
+            except Exception as e:
+                logger.warning(f"Failed to initialize SIF service for CompetitorResponseAgent: {e}")
+
+    def _create_txtai_agent(self):
+        """Create a specialized txtai Agent for competitor analysis."""
+        if not TXTAI_AVAILABLE or Agent is None:
+            return None
+            
+        _llm_for_agent = getattr(self.llm, "llm", self.llm)
+        return Agent(
+            tools=[
+                {
+                    "name": "competitor_monitor",
+                    "description": "Monitors competitor content and changes",
+                    "target": self._competitor_monitor_tool
+                },
+                {
+                    "name": "threat_analyzer",
+                    "description": "Analyzes competitive threats",
+                    "target": self._threat_analyzer_tool
+                }
+            ],
+            llm=_llm_for_agent,
+            max_iterations=5,
+            # Removed unsupported 'system' argument
+            # Instruction will be provided via orchestrator context or initial prompt
+            # Instruction should be provided during invocation or via orchestrator context
+        )
+    
+    # Tool Implementations
+    
+    def _competitor_monitor_tool(self, context: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        Competitor monitoring tool that retrieves data via SIF.
+        
+        Args:
+            context: Dictionary containing 'competitor_url' (optional) to filter monitoring targets.
+        """
+        # Stub implementation
+        return {"status": "monitored", "changes": []}
+    
+    def _threat_analyzer_tool(self, context: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        Threat analysis tool using SIF data.
+        
+        Args:
+            context: Dictionary containing analysis parameters like 'focus_area' or 'timeframe'.
+        """
+        # Stub implementation
+        return {"threat_assessment": "Low", "level": "low"}
+
+    async def propose_daily_tasks(self, context: Dict[str, Any]) -> List[TaskProposal]:
+        """
+        Propose tasks based on competitive intel.
+        """
+        proposals = []
+        
+        # 1. Competitor Gap Fill
+        proposals.append(TaskProposal(
+            title="Cover 'AI Agent Frameworks'",
+            description="Competitor X just published a guide on this. Create a better version.",
+            pillar_id="create",
+            priority="high",
+            estimated_time=60,
+            source_agent="CompetitorResponseAgent",
+            reasoning="High-value topic gaining traction.",
+            action_type="navigate",
+            action_url="/content-planning-dashboard"
+        ))
+        
+        return proposals