# Conceptual representation of agent interaction (Pythonic pseudocode)

class Agent:
    def __init__(self, model_client):
        self.model_client = model_client

    def process(self, message, context):
        raise NotImplementedError

class PlannerAgent(Agent):
    def process(self, message, context):
        # Analyze prompt, decompose into tasks
        tasks = self.decompose_request(message)
        # Assign tasks to other agents
        assignments = self.assign_tasks(tasks, context)
        return assignments

class CodeGeneratorAgent(Agent):
    def process(self, task_description, context):
        # Generate code based on task and context
        generated_code = self.model_client.generate_code(task_description, context)
        return generated_code

class ReviewerAgent(Agent):
    def process(self, code_snippet, context):
        # Analyze code, identify issues
        issues = self.model_client.analyze_code(code_snippet, context)
        return issues

# ... other agent types

# Orchestration logic
planner = PlannerAgent(claude_client)
code_gen = CodeGeneratorAgent(claude_client)
reviewer = ReviewerAgent(claude_client)

initial_prompt = "..."
planning_output = planner.process(initial_prompt, {})

for task in planning_output['tasks']:
    code_output = code_gen.process(task['description'], planning_output['context'])
    review_output = reviewer.process(code_output, planning_output['context'])

    if review_output['has_issues']:
        # Send feedback to code_gen for refinement
        refined_code = code_gen.refine(code_output, review_output['issues'], planning_output['context'])
        # Re-review
        review_output = reviewer.process(refined_code, planning_output['context'])