agent.py

from case_management_system import CaseManagementSystem
from cognitive_services import CognitiveServices

class Agent:
    def __init__(self, case_management_system):
        self.case_management_system = case_management_system
        self.cognitive_services = CognitiveServices()

    def start(self):
        while True:
            # Get the current case data
            case_data = self.case_management_system.get_case(case_id)

            # Use cognitive services to analyze the case data
            analysis = self.cognitive_services.analyze(case_data)

            # Take action based on the analysis
            if analysis == "urgent":
                # Send urgent notification to relevant stakeholders
                print("Sending urgent notification")
            elif analysis == "high_priority":
                # Assign high-priority task to relevant team member
                print("Assigning high-priority task")
            else:
                # Update case status to "in progress"
                self.case_management_system.update_case(case_id, {"status": "in progress"})

    def think(self):
        # Use cognitive services to generate new ideas for case management
        ideas = self.cognitive_services.generate_ideas()

        # Evaluate the ideas based on their relevance and feasibility
        evaluated_ideas = []
        for idea in ideas:
            if idea["relevance"] > 0.5 and idea["feasibility"] > 0.5:
                evaluated_ideas.append(idea)

        # Take action on the most promising ideas
        for idea in evaluated_ideas:
            print(f"Implementing idea: {idea['name']}")
```

**cognitive_services.py**
```python